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ORCIDAdam Wierman
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- affiliation: California Institute of Technology, Pasadena, CA, USA
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2020 – today
- 2024
[j113]Palma London
, Shai Vardi, Reza Eghbali, Adam Wierman:
Black-Box Acceleration of Monotone Convex Program Solvers. Oper. Res. 72(2): 796-815 (2024)- [j112]Junjie Qin, Shai Vardi, Adam Wierman:
Minimization Fractional Prophet Inequalities for Sequential Procurement. Math. Oper. Res. 49(2): 928-947 (2024) - [j111]Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman:
Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control. IEEE Trans. Control. Netw. Syst. 11(3): 1370-1381 (2024) - [j110]Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman:
Online Learning for Robust Voltage Control Under Uncertain Grid Topology. IEEE Trans. Smart Grid 15(5): 4754-4764 (2024) - [c144]Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman:
Risk-Sensitive Online Algorithms (Extended Abstract). COLT 2024: 1140-1141 - [c143]Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Online Policy Optimization in Unknown Nonlinear Systems. COLT 2024: 3475-3522 - [c142]Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Raouf Boutaba:
Online Algorithms with Uncertainty-Quantified Predictions. ICML 2024 - [c141]Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman:
Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization. ICML 2024 - [c140]Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
Chasing Convex Functions with Long-term Constraints. ICML 2024 - [c139]Yingying Li, Jing Yu, Lauren Conger, Taylan Kargin, Adam Wierman:
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis. ICML 2024 - [c138]Kishan Panaganti, Adam Wierman, Eric Mazumdar:
Model-Free Robust ϕ-Divergence Reinforcement Learning Using Both Offline and Online Data. ICML 2024 - [c137]Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman:
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. ICML 2024 - [c136]Junxuan Shen, Adam Wierman, Guannan Qu:
Combining model-based controller and ML advice via convex reparameterization. L4DC 2024: 679-693 - [c135]Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue:
Distributionally Robust Constrained Reinforcement Learning under Strong Duality. RLC 2024: 1793-1821 - [c134]Tianyu Chen, Yiheng Lin, Nicolas Christianson, Zahaib Akhtar, Sharath Dharmaji, Mohammad Hajiesmaili, Adam Wierman, Ramesh K. Sitaraman:
SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming. SIGCOMM 2024: 613-644 - [c133]Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. SIGMETRICS/Performance (Abstracts) 2024: 45-46 - [c132]Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. SIGMETRICS/Performance (Abstracts) 2024: 47-48 - [i103]Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
Chasing Convex Functions with Long-term Constraints. CoRR abs/2402.14012 (2024) - [i102]Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman:
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. CoRR abs/2404.18909 (2024) - [i101]Kishan Panaganti, Adam Wierman, Eric Mazumdar:
Model-Free Robust φ-Divergence Reinforcement Learning Using Both Offline and Online Data. CoRR abs/2405.05468 (2024) - [i100]Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman:
Risk-Sensitive Online Algorithms. CoRR abs/2405.09859 (2024) - [i99]Benjamin C. Lee, David Brooks, Arthur van Benthem, Udit Gupta, Gage Hills, Vincent Liu, Benjamin Pierce, Christopher Stewart, Emma Strubell, Gu-Yeon Wei, Adam Wierman, Yuan Yao, Minlan Yu:
Carbon Connect: An Ecosystem for Sustainable Computing. CoRR abs/2405.13858 (2024) - [i98]Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman:
Approximate Global Convergence of Independent Learning in Multi-Agent Systems. CoRR abs/2405.19811 (2024) - [i97]Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin:
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation. CoRR abs/2405.20860 (2024) - [i96]Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue:
Distributionally Robust Constrained Reinforcement Learning under Strong Duality. CoRR abs/2406.15788 (2024) - [i95]Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management. CoRR abs/2408.07831 (2024) - [i94]Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman:
Last-Iterate Convergence of Payoff-Based Independent Learning in Zero-Sum Stochastic Games. CoRR abs/2409.01447 (2024) - [i93]Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman:
Can We Break the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning? CoRR abs/2409.20067 (2024) - [i92]Christopher Yeh, Nicolas Christianson, Alan Wu, Adam Wierman, Yisong Yue:
End-to-End Conformal Calibration for Optimization Under Uncertainty. CoRR abs/2409.20534 (2024) - 2023
- [j109]Yorie Nakahira, Andrés Ferragut, Adam Wierman:
Generalized Exact Scheduling: A Minimal-Variance Distributed Deadline Scheduler. Oper. Res. 71(2): 433-470 (2023) - [j108]Yu Su, Shai Vardi, Xiaoqi Ren, Adam Wierman:
Communication-aware scheduling of precedence-constrained tasks on related machines. Oper. Res. Lett. 51(6): 709-716 (2023) - [j107]Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman:
Smoothed Online Optimization with Unreliable Predictions. Proc. ACM Meas. Anal. Comput. Syst. 7(1): 12:1-12:36 (2023) - [j106]Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman:
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. Proc. ACM Meas. Anal. Comput. Syst. 7(1): 13:1-13:51 (2023) - [j105]Jing Yu, Dimitar Ho, Adam Wierman:
Online Adversarial Stabilization of Unknown Networked Systems. Proc. ACM Meas. Anal. Comput. Syst. 7(1): 26:1-26:43 (2023) - [j104]Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. Proc. ACM Meas. Anal. Comput. Syst. 7(3): 45:1-45:32 (2023) - [j103]Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu:
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. SIAM J. Control. Optim. 61(3): 1113-1135 (2023) - [j102]Chen Liang, Linqi Guo, Alessandro Zocca, Steven H. Low, Adam Wierman:
Adaptive Network Response to Line Failures in Power Systems. IEEE Trans. Control. Netw. Syst. 10(1): 333-344 (2023) - [j101]Shih-Hao Tseng, SooJean Han, Adam Wierman:
Trading Throughput for Freshness: Freshness-aware Traffic Engineering and In-Network Freshness Control. ACM Trans. Model. Perform. Evaluation Comput. Syst. 8(1-2): 1-26 (2023) - [j100]Yue Chen, Changhong Zhao, Steven H. Low, Adam Wierman:
An Energy Sharing Mechanism Considering Network Constraints and Market Power Limitation. IEEE Trans. Smart Grid 14(2): 1027-1041 (2023) - [c131]Nicolas Christianson, Junxuan Shen, Adam Wierman:
Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems. AISTATS 2023: 9377-9399 - [c130]Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar:
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems. CDC 2023: 1334-1341 - [c129]Lucien Werner, Nicolas Christianson, Alessandro Zocca, Adam Wierman, Steven H. Low:
Pricing Uncertainty in Stochastic Multi-Stage Electricity Markets. CDC 2023: 1580-1587 - [c128]Jing Yu, Varun Gupta, Adam Wierman:
Online Adversarial Stabilization of Unknown Linear Time-Varying Systems. CDC 2023: 8320-8327 - [c127]Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen:
Contextual Combinatorial Bandits with Probabilistically Triggered Arms. ICML 2023: 22559-22593 - [c126]Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma:
Online switching control with stability and regret guarantees. L4DC 2023: 1138-1151 - [c125]Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman:
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games. NeurIPS 2023 - [c124]Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman:
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. NeurIPS 2023 - [c123]Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren:
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay. NeurIPS 2023 - [c122]Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman:
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations. NeurIPS 2023 - [c121]Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren:
Anytime-Competitive Reinforcement Learning with Policy Prior. NeurIPS 2023 - [c120]Christopher Yeh, Victor Li, Rajeev Datta, Julio Arroyo, Nicolas Christianson, Chi Zhang, Yize Chen, Mohammad Mehdi Hosseini, Azarang Golmohammadi, Yuanyuan Shi, Yisong Yue, Adam Wierman:
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems. NeurIPS 2023 - [c119]Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, Adam Wierman:
Adversarial Attacks on Online Learning to Rank with Click Feedback. NeurIPS 2023 - [c118]Bo Sun, Lin Yang, Mohammad H. Hajiesmaili, Adam Wierman, John C. S. Lui, Don Towsley, Danny H. K. Tsang:
The Online Knapsack Problem with Departures. SIGMETRICS (Abstracts) 2023: 59-60 - [c117]Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman:
Smoothed Online Optimization with Unreliable Predictions. SIGMETRICS (Abstracts) 2023: 71-72 - [c116]Jing Yu, Dimitar Ho, Adam Wierman:
Online Adversarial Stabilization of Unknown Networked Systems. SIGMETRICS (Abstracts) 2023: 73-74 - [c115]Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman:
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. SIGMETRICS (Abstracts) 2023: 83-84 - [c114]Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman:
Convergence rates for localized actor-critic in networked Markov potential games. UAI 2023: 2563-2573 - [c113]Chenkai Yu, Hongyao Ma, Adam Wierman:
Price Cycles in Ridesharing Platforms. WINE 2023: 618-636 - [i91]Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma:
Online switching control with stability and regret guarantees. CoRR abs/2301.08445 (2023) - [i90]Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman:
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games. CoRR abs/2303.03100 (2023) - [i89]Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman:
Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games. CoRR abs/2303.04865 (2023) - [i88]Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad H. Hajiesmaili, Adam Wierman, Wei Chen:
Contextual Combinatorial Bandits with Probabilistically Triggered Arms. CoRR abs/2303.17110 (2023) - [i87]Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad H. Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. CoRR abs/2303.17551 (2023) - [i86]Jing Yu, Varun Gupta, Adam Wierman:
Online Stabilization of Unknown Linear Time-Varying Systems. CoRR abs/2304.02878 (2023) - [i85]Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad H. Hajiesmaili, Adam Wierman:
Adversarial Attacks on Online Learning to Rank with Click Feedback. CoRR abs/2305.17071 (2023) - [i84]Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren:
Learning-Augmented Decentralized Online Convex Optimization in Networks. CoRR abs/2306.10158 (2023) - [i83]Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman:
Online learning for robust voltage control under uncertain grid topology. CoRR abs/2306.16674 (2023) - [i82]Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren:
Towards Environmentally Equitable AI via Geographical Load Balancing. CoRR abs/2307.05494 (2023) - [i81]Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman:
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. CoRR abs/2307.10524 (2023) - [i80]Yingying Li, Jing Yu, Lauren Conger, Adam Wierman:
Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis. CoRR abs/2309.14648 (2023) - [i79]Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman:
Online Algorithms with Uncertainty-Quantified Predictions. CoRR abs/2310.11558 (2023) - [i78]Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren:
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay. CoRR abs/2310.20098 (2023) - [i77]Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy:
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. CoRR abs/2310.20598 (2023) - [i76]Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman:
Best of Both Worlds: Stochastic and Adversarial Convex Function Chasing. CoRR abs/2311.00181 (2023) - [i75]Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren:
Anytime-Competitive Reinforcement Learning with Policy Prior. CoRR abs/2311.01568 (2023) - [i74]Jinhang Zuo, Zhiyao Zhang, Xuchuang Wang, Cheng Chen, Shuai Li, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman:
Adversarial Attacks on Cooperative Multi-agent Bandits. CoRR abs/2311.01698 (2023) - [i73]Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman:
Two-Timescale Q-Learning with Function Approximation in Zero-Sum Stochastic Games. CoRR abs/2312.04905 (2023) - 2022
- [j99]John Z. F. Pang, Weixuan Lin, Hu Fu, Jack Kleeman, Eilyan Bitar, Adam Wierman:
Transparency and Control in Platforms for Networked Markets. Oper. Res. 70(3): 1665-1690 (2022) - [j98]Guannan Qu, Adam Wierman, Na Li:
Scalable Reinforcement Learning for Multiagent Networked Systems. Oper. Res. 70(6): 3601-3628 (2022) - [j97]Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman:
Online Optimization with Feedback Delay and Nonlinear Switching Cost. Proc. ACM Meas. Anal. Comput. Syst. 6(1): 17:1-17:34 (2022) - [j96]Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low:
Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. Proc. ACM Meas. Anal. Comput. Syst. 6(1): 18:1-18:35 (2022) - [j95]Yu Su, Jannie Yu, Vivek Anand, Adam Wierman:
Learning-Augmented Energy-Aware Scheduling of Precedence-Constrained Tasks. SIGMETRICS Perform. Evaluation Rev. 49(2): 3-5 (2022) - [j94]Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang:
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. SIGMETRICS Perform. Evaluation Rev. 49(2): 6-8 (2022) - [c112]Yang Hu, Adam Wierman, Guannan Qu:
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory (Extended Abstract). Allerton 2022: 1-2 - [c111]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Competitive Control with Delayed Imperfect Information. ACC 2022: 2604-2610 - [c110]Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman:
Stability Constrained Reinforcement Learning for Real-Time Voltage Control. ACC 2022: 2715-2721 - [c109]Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Interface Networks for Failure Localization in Power Systems. ACC 2022: 4540-4546 - [c108]Nicolas Christianson, Tinashe Handina, Adam Wierman:
Chasing Convex Bodies and Functions with Black-Box Advice. COLT 2022: 867-908 - [c107]Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman:
Robust online voltage control with an unknown grid topology. e-Energy 2022: 240-250 - [c106]Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman:
Decentralized Online Convex Optimization in Networked Systems. ICML 2022: 13356-13393 - [c105]Yang Hu, Adam Wierman, Guannan Qu:
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. NeurIPS 2022 - [c104]Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman:
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity. NeurIPS 2022 - [c103]Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman:
Online Optimization with Feedback Delay and Nonlinear Switching Cost. SIGMETRICS (Abstracts) 2022: 81-82 - [c102]Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low:
Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. SIGMETRICS (Abstracts) 2022: 107-108 - [i72]Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman:
Online Optimization with Untrusted Predictions. CoRR abs/2202.03519 (2022) - [i71]Chenkai Yu, Hongyao Ma, Adam Wierman:
Price Cycles in Ridesharing Platforms. CoRR abs/2202.07086 (2022) - [i70]Yang Hu, Adam Wierman, Guannan Qu:
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. CoRR abs/2202.07187 (2022) - [i69]Jing Yu, Dimitar Ho, Adam Wierman:
Online Stabilization of Unknown Networked Systems with Communication Constraints. CoRR abs/2203.02630 (2022) - [i68]Yue Chen, Changhong Zhao, Steven H. Low, Adam Wierman:
An Energy Sharing Mechanism Considering Network Constraints and Market Power Limitation. CoRR abs/2203.04503 (2022) - [i67]Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu:
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. CoRR abs/2204.05551 (2022) - [i66]Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Interface Networks for Failure Localization in Power Systems. CoRR abs/2205.06315 (2022) - [i65]Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin, Steven H. Low, Adam Wierman:
Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control. CoRR abs/2206.01341 (2022) - [i64]Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar:
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems. CoRR abs/2206.01704 (2022) - [i63]Nicolas Christianson, Tinashe Handina, Adam Wierman:
Chasing Convex Bodies and Functions with Black-Box Advice. CoRR abs/2206.11780 (2022) - [i62]Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman:
Robust Online Voltage Control with an Unknown Grid Topology. CoRR abs/2206.14369 (2022) - [i61]Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman:
Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems. CoRR abs/2209.07669 (2022) - [i60]Bo Sun, Lin Yang, Mohammad H. Hajiesmaili, Adam Wierman, John C. S. Lui, Don Towsley, Danny H. K. Tsang:
The Online Knapsack Problem with Departures. CoRR abs/2209.11934 (2022) - [i59]Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman:
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. CoRR abs/2211.17116 (2022) - 2021
- [j93]Riley Murray, Venkat Chandrasekaran, Adam Wierman:
Newton Polytopes and Relative Entropy Optimization. Found. Comput. Math. 21(6): 1703-1737 (2021) - [j92]Riley Murray, Venkat Chandrasekaran, Adam Wierman:
Signomial and polynomial optimization via relative entropy and partial dualization. Math. Program. Comput. 13(2): 257-295 (2021) - [j91]Riley Murray, Venkat Chandrasekaran, Adam Wierman:
Publisher Correction to: Signomial and polynomial optimization via relative entropy and partial dualization. Math. Program. Comput. 13(2): 297-299 (2021) - [j90]Xingyu Zhou, Ness B. Shroff, Adam Wierman:
Asymptotically optimal load balancing in large-scale heterogeneous systems with multiple dispatchers. Perform. Evaluation 145: 102146 (2021) - [j89]Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven H. Low:
Information Aggregation for Constrained Online Control. Proc. ACM Meas. Anal. Comput. Syst. 5(2): 18:1-18:35 (2021) - [j88]Bo Sun, Lin Yang, Mohammad H. Hajiesmaili, Adam Wierman, John C. S. Lui, Don Towsley, Danny H. K. Tsang:
The Online Knapsack Problem with Departures. Proc. ACM Meas. Anal. Comput. Syst. 6(3): 57:1-57:32 (2021) - [j87]Mor Harchol-Balter, Takayuki Osogami, Alan Scheller-Wolf, Adam Wierman:
Correction to: Multi-server queueing systems with multiple priority classes. Queueing Syst. Theory Appl. 99(3-4): 397-398 (2021) - [j86]Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman:
Learning-Based Predictive Control via Real-Time Aggregate Flexibility. IEEE Trans. Smart Grid 12(6): 4897-4913 (2021) - [c101]Ali Zeynali, Bo Sun, Mohammad Hassan Hajiesmaili, Adam Wierman:
Data-driven Competitive Algorithms for Online Knapsack and Set Cover. AAAI 2021: 10833-10841 - [c100]Guannan Qu, Chenkai Yu, Steven H. Low, Adam Wierman:
Exploiting Linear Models for Model-Free Nonlinear Control: A Provably Convergent Policy Gradient Approach. CDC 2021: 6539-6546 - [c99]Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman, Abel Souza, Adam Wierman:
Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. SoCC 2021: 350-358 - [c98]Lucien Werner, Adam Wierman, Steven H. Low:
Pricing flexibility of shiftable demand in electricity markets. e-Energy 2021: 1-14 - [c97]Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman:
Stable Online Control of Linear Time-Varying Systems. L4DC 2021: 742-753 - [c96]Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, Adam Wierman:
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. NeurIPS 2021: 5174-5185 - [c95]Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman:
Multi-Agent Reinforcement Learning in Stochastic Networked Systems. NeurIPS 2021: 7825-7837 - [c94]Bo Sun, Russell Lee, Mohammad H. Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems. NeurIPS 2021: 10339-10350 - [c93]Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang:
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. EC 2021: 689 - [c92]Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven H. Low:
Information Aggregation for Constrained Online Control. SIGMETRICS (Abstracts) 2021: 7-8 - [c91]Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. SIGMETRICS (Abstracts) 2021: 67-68 - [i58]Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman:
Stable Online Control of Linear Time-Varying Systems. CoRR abs/2104.14134 (2021) - [i57]Alessandro Zocca, Chen Liang, Linqi Guo, Steven H. Low, Adam Wierman:
A Spectral Representation of Power Systems with Applications to Adaptive Grid Partitioning and Cascading Failure Localization. CoRR abs/2105.05234 (2021) - [i56]Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang:
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. CoRR abs/2105.14262 (2021) - [i55]Shih-Hao Tseng, SooJean Han, Adam Wierman:
In-Network Freshness Control: Trading Throughput for Freshness. CoRR abs/2106.02156 (2021) - [i54]Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman, Abel Souza, Adam Wierman:
Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. CoRR abs/2106.08872 (2021) - [i53]Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low:
Robustness and Consistency in Linear Quadratic Control with Predictions. CoRR abs/2106.09659 (2021) - [i52]Yiheng Lin, Yang Hu, Haoyuan Sun, Guanya Shi, Guannan Qu, Adam Wierman:
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. CoRR abs/2106.10497 (2021) - [i51]Bo Sun, Russell Lee, Mohammad H. Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems. CoRR abs/2109.01556 (2021) - [i50]Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman:
Stability Constrained Reinforcement Learning for Real-Time Voltage Control. CoRR abs/2109.14854 (2021) - [i49]Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman:
Online Optimization with Feedback Delay and Nonlinear Switching Cost. CoRR abs/2111.00095 (2021) - 2020
- [j85]Desmond W. H. Cai, Anish Agarwal, Adam Wierman:
On the Inefficiency of Forward Markets in Leader-Follower Competition. Oper. Res. 68(1): 35-52 (2020) - [j84]Navid Azizan, Yu Su, Krishnamurthy Dvijotham, Adam Wierman:
Optimal Pricing in Markets with Nonconvex Costs. Oper. Res. 68(2): 480-496 (2020) - [j83]Zhixuan Fang, Longbo Huang, Adam Wierman:
Loyalty programs in the sharing economy: Optimality and competition. Perform. Evaluation 143: 102105 (2020) - [j82]Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani:
Third-Party Data Providers Ruin Simple Mechanisms. Proc. ACM Meas. Anal. Comput. Syst. 4(1): 12:1-12:31 (2020) - [j81]Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Adam Wierman, Enrique Mallada, Wing Shing Wong:
Online Linear Optimization with Inventory Management Constraints. Proc. ACM Meas. Anal. Comput. Syst. 4(1): 16:1-16:29 (2020) - [j80]Yiheng Lin, Gautam Goel, Adam Wierman:
Online Optimization with Predictions and Non-convex Losses. Proc. ACM Meas. Anal. Comput. Syst. 4(1): 18:1-18:32 (2020) - [j79]Ziv Scully, Lucas van Kreveld, Onno J. Boxma, Jan-Pieter L. Dorsman, Adam Wierman:
Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes. Proc. ACM Meas. Anal. Comput. Syst. 4(2): 30:1-30:33 (2020) - [j78]Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. Proc. ACM Meas. Anal. Comput. Syst. 4(3): 51:1-51:32 (2020) - [j77]Xingyu Zhou, Ness B. Shroff, Adam Wierman:
Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers. SIGMETRICS Perform. Evaluation Rev. 48(3): 57-58 (2020) - [c90]Guannan Qu, Adam Wierman:
Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning. COLT 2020: 3185-3205 - [c89]Tongxin Li, Steven H. Low, Adam Wierman:
Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination. e-Energy 2020: 279-292 - [c88]Guannan Qu, Adam Wierman, Na Li:
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. L4DC 2020: 256-266 - [c87]Guannan Qu, Yiheng Lin, Adam Wierman, Na Li:
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. NeurIPS 2020 - [c86]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Online Optimization with Memory and Competitive Control. NeurIPS 2020 - [c85]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
The Power of Predictions in Online Control. NeurIPS 2020 - [c84]Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Adam Wierman, Enrique Mallada, Wing Shing Wong:
Online Linear Optimization with Inventory Management Constraints. SIGMETRICS (Abstracts) 2020: 7 - [c83]Yiheng Lin, Gautam Goel, Adam Wierman:
Online Optimization with Predictions and Non-convex Losses. SIGMETRICS (Abstracts) 2020: 9-10 - [c82]Ziv Scully, Lucas van Kreveld, Onno J. Boxma, Jan-Pieter L. Dorsman, Adam Wierman:
Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes. SIGMETRICS (Abstracts) 2020: 35-36 - [c81]Palma London, Shai Vardi, Adam Wierman:
Logarithmic Communication for Distributed Optimization in Multi-Agent Systems. SIGMETRICS (Abstracts) 2020: 97-98 - [c80]Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani:
Third-Party Data Providers Ruin Simple Mechanisms. SIGMETRICS (Abstracts) 2020: 103 - [c79]Chen Liang, Fengyu Zhou, Alessandro Zocca, Steven H. Low, Adam Wierman:
Mitigating Cascading Failures via Local Responses. SmartGridComm 2020: 1-7 - [i48]Guannan Qu, Adam Wierman:
Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning. CoRR abs/2002.00260 (2020) - [i47]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Beyond No-Regret: Competitive Control via Online Optimization with Memory. CoRR abs/2002.05318 (2020) - [i46]Xingyu Zhou, Ness B. Shroff, Adam Wierman:
Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers. CoRR abs/2002.08908 (2020) - [i45]Chen Liang, Linqi Guo, Alessandro Zocca, Shuyue Yu, Steven H. Low, Adam Wierman:
An Integrated Approach for Failure Mitigation & Localization in Power Systems. CoRR abs/2004.10401 (2020) - [i44]Yu Su, Xiaoqi Ren, Shai Vardi, Adam Wierman:
Communication-Aware Scheduling of Precedence-Constrained Tasks on Related Machines. CoRR abs/2004.14639 (2020) - [i43]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Localization & Mitigation of Cascading Failures in Power Systems, Part I: Spectral Representation & Tree Partition. CoRR abs/2005.10199 (2020) - [i42]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Localization & Mitigation of Cascading Failures in Power Systems, Part III: Real-time Mitigation. CoRR abs/2005.11319 (2020) - [i41]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Localization & Mitigation of Cascading Failures in Power Systems, Part II: Localization. CoRR abs/2005.11320 (2020) - [i40]Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman:
Distributed Reinforcement Learning in Multi-Agent Networked Systems. CoRR abs/2006.06555 (2020) - [i39]Guannan Qu, Yiheng Lin, Adam Wierman, Na Li:
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. CoRR abs/2006.06626 (2020) - [i38]Guannan Qu, Chenkai Yu, Steven H. Low, Adam Wierman:
Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach. CoRR abs/2006.07476 (2020) - [i37]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
The Power of Predictions in Online Control. CoRR abs/2006.07569 (2020) - [i36]Tongxin Li, Steven H. Low, Adam Wierman:
Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination. CoRR abs/2006.13814 (2020) - [i35]Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. CoRR abs/2010.00412 (2020) - [i34]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Competitive Control with Delayed Imperfect Information. CoRR abs/2010.11637 (2020) - [i33]Ali Zeynali, Bo Sun, Mohammad Hassan Hajiesmaili, Adam Wierman:
Data-driven Competitive Algorithms for Online Knapsack and Set Cover. CoRR abs/2012.05361 (2020) - [i32]Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman:
Real-time Aggregate Flexibility via Reinforcement Learning. CoRR abs/2012.11261 (2020)
2010 – 2019
- 2019
- [j76]Desmond W. H. Cai, Subhonmesh Bose, Adam Wierman:
On the Role of a Market Maker in Networked Cournot Competition. Math. Oper. Res. 44(3): 1122-1144 (2019) - [j75]Zhixuan Fang, Longbo Huang, Adam Wierman:
Prices and subsidies in the sharing economy. Perform. Evaluation 136 (2019) - [j74]Qiulin Lin, Hanling Yi, John Z. F. Pang, Minghua Chen, Adam Wierman, Michael L. Honig, Yuanzhang Xiao:
Competitive Online Optimization under Inventory Constraints. Proc. ACM Meas. Anal. Comput. Syst. 3(1): 10:1-10:28 (2019) - [j73]Palma London, Shai Vardi, Adam Wierman:
Logarithmic Communication for Distributed Optimization in Multi-Agent Systems. Proc. ACM Meas. Anal. Comput. Syst. 3(3): 48:1-48:29 (2019) - [j72]Gautam Goel, Adam Wierman:
An Online Algorithm for Smoothed Online Convex Optimization. SIGMETRICS Perform. Evaluation Rev. 47(2): 6-8 (2019) - [j71]Yu Su, Xiaoqi Ren, Shai Vardi, Adam Wierman, Yuxiong He:
Communication-Aware Scheduling of Precedence-Constrained Tasks. SIGMETRICS Perform. Evaluation Rev. 47(2): 21-23 (2019) - [c78]Gautam Goel, Adam Wierman:
An Online Algorithm for Smoothed Regression and LQR Control. AISTATS 2019: 2504-2513 - [c77]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Less is More: Real-time Failure Localization in Power Systems. CDC 2019: 3871-3877 - [c76]Navid Azizan Ruhi, Yu Su, Krishnamurthy Dvijotham, Adam Wierman:
Optimal Pricing in Markets with Non-Convex Costs. EC 2019: 595 - [c75]Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman:
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. NeurIPS 2019: 1873-1883 - [c74]Qiulin Lin, Hanling Yi, John Z. F. Pang, Minghua Chen, Adam Wierman, Michael L. Honig, Yuanzhang Xiao:
Competitive Online Optimization under Inventory Constraints. SIGMETRICS (Abstracts) 2019: 35-36 - [i31]Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Enrique Mallada, Wing Shing Wong, Adam Wierman:
Online Inventory Management with Application to Energy Procurement in Data Centers. CoRR abs/1901.04372 (2019) - [i30]Qiulin Lin, Hanling Yi, John Z. F. Pang, Minghua Chen, Adam Wierman, Michael L. Honig, Yuanzhang Xiao:
Competitive Online Optimization under Inventory Constraints. CoRR abs/1901.09161 (2019) - [i29]John Z. F. Pang, Weixuan Lin, Hu Fu, Jack Kleeman, Eilyan Bitar, Adam Wierman:
Transparency and Control in Platforms for Networked Markets. CoRR abs/1903.04574 (2019) - [i28]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Less is More: Real-time Failure Localization in Power Systems. CoRR abs/1904.05461 (2019) - [i27]Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman:
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. CoRR abs/1905.12776 (2019) - [i26]Yiheng Lin, Gautam Goel, Adam Wierman:
Online Optimization with Predictions and Non-convex Losses. CoRR abs/1911.03827 (2019) - [i25]Guannan Qu, Adam Wierman, Na Li:
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. CoRR abs/1912.02906 (2019) - 2018
- [j70]Jayakrishnan Nair, Vijay G. Subramanian, Adam Wierman:
Provisioning of ad-supported cloud services: The role of competition. Perform. Evaluation 120: 36-48 (2018) - [j69]Adam Wierman, Aditya Akella:
Message from the Editors. Proc. ACM Meas. Anal. Comput. Syst. 2(2): 23:1 (2018) - [j68]Yorie Nakahira, Andrés Ferragut, Adam Wierman:
Minimal-variance distributed scheduling under strict demands and deadlines. SIGMETRICS Perform. Evaluation Rev. 46(2): 12-14 (2018) - [j67]Junjie Qin, Ram Rajagopal, Shai Vardi, Adam Wierman:
Convex Prophet Inequalities. SIGMETRICS Perform. Evaluation Rev. 46(2): 39-41 (2018) - [j66]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Failure Localization in Power Systems via Tree Partitions. SIGMETRICS Perform. Evaluation Rev. 46(2): 57-61 (2018) - [j65]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Failure Localization in Power Systems via Tree Partitions. SIGMETRICS Perform. Evaluation Rev. 46(2): 79-80 (2018) - [j64]Junjie Qin, Ram Rajagopal, Shai Vardi, Adam Wierman:
Convex Prophet Inequalities. SIGMETRICS Perform. Evaluation Rev. 46(2): 85-86 (2018) - [j63]Yorie Nakahira, Andrés Ferragut, Adam Wierman:
Minimal-Variance Distributed Deadline Scheduling in a Stationary Environment. SIGMETRICS Perform. Evaluation Rev. 46(3): 56-61 (2018) - [j62]Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman:
Datum: Managing Data Purchasing and Data Placement in a Geo-Distributed Data Market. IEEE/ACM Trans. Netw. 26(2): 893-905 (2018) - [j61]Navid Azizan Ruhi, Krishnamurthy Dvijotham, Niangjun Chen, Adam Wierman:
Opportunities for Price Manipulation by Aggregators in Electricity Markets. IEEE Trans. Smart Grid 9(6): 5687-5698 (2018) - [c73]Palma London, Shai Vardi, Adam Wierman, Hanling Yi:
A Parallelizable Acceleration Framework for Packing Linear Programs. AAAI 2018: 3706-3713 - [c72]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Failure Localization in Power Systems via Tree Partitions. CDC 2018: 6832-6839 - [c71]Niangjun Chen, Gautam Goel, Adam Wierman:
Smoothed Online Convex Optimization in High Dimensions via Online Balanced Descent. COLT 2018: 1574-1594 - [c70]Mohammad A. Islam, Xiaoqi Ren, Shaolei Ren, Adam Wierman:
A Spot Capacity Market to Increase Power Infrastructure Utilization in Multi-tenant Data Centers. HPCA 2018: 776-788 - [c69]Palma London, Shai Vardi, Adam Wierman, Hanling Yi:
A Parallelizable Acceleration Framework for Packing Linear Programs. ITA 2018: 1-10 - [c68]Zhixuan Fang, Longbo Huang, Adam Wierman:
Loyalty Programs in the Sharing Economy: Optimality and Competition. MobiHoc 2018: 131-140 - [e1]Konstantinos Psounis, Aditya Akella, Adam Wierman:
Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2018, Irvine, CA, USA, June 18-22, 2018. ACM 2018 [contents] - [i24]Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani:
Third-Party Data Providers Ruin Simple Mechanisms. CoRR abs/1802.07407 (2018) - [i23]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Failure Localization in Power Systems via Tree Partitions. CoRR abs/1803.08551 (2018) - [i22]Niangjun Chen, Gautam Goel, Adam Wierman:
Smoothed Online Convex Optimization in High Dimensions via Online Balanced Descent. CoRR abs/1803.10366 (2018) - [i21]Zhixuan Fang, Longbo Huang, Adam Wierman:
Loyalty Programs in the Sharing Economy: Optimality and Competition. CoRR abs/1805.03581 (2018) - [i20]Gautam Goel, Adam Wierman:
Smoothed Online Optimization for Regression and Control. CoRR abs/1810.10132 (2018) - 2017
- [j60]Weixuan Lin, John Z. F. Pang, Eilyan Bitar, Adam Wierman:
Networked Cournot Competition in Platform Markets: Access Control and Efficiency Loss. SIGMETRICS Perform. Evaluation Rev. 45(2): 15-17 (2017) - [j59]Gautam Goel, Niangjun Chen, Adam Wierman:
Thinking Fast and Slow: Optimization Decomposition Across Timescales. SIGMETRICS Perform. Evaluation Rev. 45(2): 27-29 (2017) - [j58]Palma London, Niangjun Chen, Shai Vardi, Adam Wierman:
Distributed Optimization via Local Computation Algorithms. SIGMETRICS Perform. Evaluation Rev. 45(2): 30-32 (2017) - [j57]Mohammad A. Islam, Shaolei Ren, Adam Wierman:
A First Look at Power Attacks in Multi-Tenant Data Centers. SIGMETRICS Perform. Evaluation Rev. 45(2): 91-93 (2017) - [j56]Andrés Ferragut, Fernando Paganini, Adam Wierman:
Controlling the Variability of Capacity Allocations Using Service Deferrals. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2(3): 15:1-15:27 (2017) - [j55]Jonatha Anselmi, Danilo Ardagna, John C. S. Lui, Adam Wierman, Yunjian Xu, Zichao Yang:
The Economics of the Cloud. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2(4): 18:1-18:23 (2017) - [j54]Mahdi Ghamkhari, Adam Wierman, Hamed Mohsenian Rad:
Energy Portfolio Optimization of Data Centers. IEEE Trans. Smart Grid 8(4): 1898-1910 (2017) - [c67]Weixuan Lin, John Z. F. Pang, Eilyan Bitar, Adam Wierman:
Networked cournot competition in platform markets. Allerton 2017: 761 - [c66]Mohammad A. Islam, Shaolei Ren, Adam Wierman:
Exploiting a Thermal Side Channel for Power Attacks in Multi-Tenant Data Centers. CCS 2017: 1079-1094 - [c65]Gautam Goel, Niangjun Chen, Adam Wierman:
Thinking fast and slow: Optimization decomposition across timescales. CDC 2017: 1291-1298 - [c64]Weixuan Lin, John Z. F. Pang, Eilyan Bitar, Adam Wierman:
Networked cournot competition in platform markets: Access control and efficiency loss. CDC 2017: 4606-4611 - [c63]Yunjian Xu, Desmond W. H. Cai, Subhonmesh Bose, Adam Wierman:
On the efficiency of networked Stackelberg competition. CISS 2017: 1-6 - [c62]John Z. F. Pang, Hu Fu, Won I. Lee, Adam Wierman:
The efficiency of open access in platforms for networked cournot markets. INFOCOM 2017: 1-9 - [c61]Mohammad A. Islam, Xiaoqi Ren, Shaolei Ren, Adam Wierman:
A Spot Capacity Market to Increase Power Infrastructure Utilization in Multi-Tenant Data Centers. SIGMETRICS (Abstracts) 2017: 19-20 - [c60]Zhixuan Fang, Longbo Huang, Adam Wierman:
Prices and Subsidies in the Sharing Economy. WWW 2017: 53-62 - [i19]Desmond W. H. Cai, Subhonmesh Bose, Adam Wierman:
On the Role of a Market Maker in Networked Cournot Competition. CoRR abs/1701.08896 (2017) - [i18]Palma London, Shai Vardi, Adam Wierman, Hanling Yi:
A Parallelizable Acceleration Framework for Packing Linear Programs. CoRR abs/1711.06656 (2017) - 2016
- [j53]Rachel Cummings, Federico Echenique, Adam Wierman:
The Empirical Implications of Privacy-Aware Choice. Oper. Res. 64(1): 67-78 (2016) - [j52]Ragavendran Gopalakrishnan, Sherwin Doroudi, Amy R. Ward, Adam Wierman:
Routing and Staffing When Servers Are Strategic. Oper. Res. 64(4): 1033-1050 (2016) - [j51]Jayakrishnan Nair, Adam Wierman, Bert Zwart:
Provisioning of Large-Scale Systems: The Interplay Between Network Effects and Strategic Behavior in the User Base. Manag. Sci. 62(6): 1830-1841 (2016) - [j50]Navid Azizan Ruhi, Niangjun Chen, Krishnamurthy Dvijotham, Adam Wierman:
Opportunities for Price Manipulation by Aggregators in Electricity Markets. SIGMETRICS Perform. Evaluation Rev. 44(2): 49-51 (2016) - [j49]Jayakrishnan Nair, Krishna P. Jagannathan, Adam Wierman:
When Heavy-Tailed and Light-Tailed Flows Compete: The Response Time Tail Under Generalized Max-Weight Scheduling. IEEE/ACM Trans. Netw. 24(2): 982-995 (2016) - [c59]Mohammad A. Islam, Xiaoqi Ren, Shaolei Ren, Adam Wierman, Xiaorui Wang:
A market approach for handling power emergencies in multi-tenant data center. HPCA 2016: 432-443 - [c58]Niangjun Chen, Joshua Comden, Zhenhua Liu, Anshul Gandhi, Adam Wierman:
Using Predictions in Online Optimization: Looking Forward with an Eye on the Past. SIGMETRICS 2016: 193-206 - [c57]Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman:
Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. SIGMETRICS 2016: 383-384 - [i17]Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman:
Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. CoRR abs/1604.02533 (2016) - [i16]Navid Azizan Ruhi, Krishnamurthy Dvijotham, Niangjun Chen, Adam Wierman:
Opportunities for Price Manipulation by Aggregators in Electricity Markets. CoRR abs/1606.06510 (2016) - 2015
- [j48]Kai Wang, Minghong Lin, Florin Ciucu, Adam Wierman, Chuang Lin:
Characterizing the impact of the workload on the value of dynamic resizing in data centers. Perform. Evaluation 85-86: 1-18 (2015) - [j47]Niangjun Chen, Xiaoqi Ren, Shaolei Ren, Adam Wierman:
Greening multi-tenant data center demand response. Perform. Evaluation 91: 229-254 (2015) - [j46]Niangjun Chen, Xiaoqi Ren, Shaolei Ren, Adam Wierman:
Greening Multi-Tenant Data Center Demand Response. SIGMETRICS Perform. Evaluation Rev. 43(2): 36-38 (2015) - [j45]Xiaoqi Ren, Ganesh Ananthanarayanan, Adam Wierman, Minlan Yu:
Speculation-aware Cluster Scheduling. SIGMETRICS Perform. Evaluation Rev. 43(2): 42-44 (2015) - [j44]Zhenhua Liu, Minghong Lin, Adam Wierman, Steven H. Low, Lachlan L. H. Andrew:
Greening Geographical Load Balancing. IEEE/ACM Trans. Netw. 23(2): 657-671 (2015) - [c56]Desmond W. H. Cai, Enrique Mallada, Adam Wierman:
Distributed optimization decomposition for joint economic dispatch and frequency regulation. Allerton 2015: 736 - [c55]Desmond W. H. Cai, Enrique Mallada, Adam Wierman:
Distributed optimization decomposition for joint economic dispatch and frequency regulation. CDC 2015: 15-22 - [c54]Masoud Badiei, Na Li, Adam Wierman:
Online convex optimization with ramp constraints. CDC 2015: 6730-6736 - [c53]Hao Chen, Zhenhua Liu, Ayse K. Coskun, Adam Wierman:
Optimizing energy storage participation in emerging power markets. IGSC 2015: 1-6 - [c52]Xiaoqi Ren, Ganesh Ananthanarayanan, Adam Wierman, Minlan Yu:
Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale. SIGCOMM 2015: 379-392 - [c51]Niangjun Chen, Anish Agarwal, Adam Wierman, Siddharth Barman, Lachlan L. H. Andrew:
Online Convex Optimization Using Predictions. SIGMETRICS 2015: 191-204 - [i15]Niangjun Chen, Anish Agarwal, Adam Wierman, Siddharth Barman, Lachlan L. H. Andrew:
Online Convex Optimization Using Predictions. CoRR abs/1504.06681 (2015) - [i14]Niangjun Chen, Xiaoqi Ren, Shaolei Ren, Adam Wierman:
Greening Multi-Tenant Data Center Demand Response. CoRR abs/1504.07308 (2015) - [i13]Lachlan L. H. Andrew, Siddharth Barman, Katrina Ligett, Minghong Lin, Adam Meyerson, Alan Roytman, Adam Wierman:
A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret. CoRR abs/1508.03769 (2015) - [i12]Hao Chen, Zhenhua Liu, Ayse K. Coskun, Adam Wierman:
Optimizing Energy Storage Participation in Emerging Power Markets. CoRR abs/1510.00083 (2015) - 2014
- [j43]Ragavendran Gopalakrishnan, Jason R. Marden, Adam Wierman:
Potential Games Are Necessary to Ensure Pure Nash Equilibria in Cost Sharing Games. Math. Oper. Res. 39(4): 1252-1296 (2014) - [j42]Jonatha Anselmi, Danilo Ardagna, John C. S. Lui, Adam Wierman, Yunjian Xu, Zichao Yang:
The economics of the cloud: price competition and congestion. SIGecom Exch. 13(1): 58-63 (2014) - [j41]Jonatha Anselmi, Danilo Ardagna, John C. S. Lui, Adam Wierman, Yunjian Xu, Zichao Yang:
The economics of the cloud: price competition and congestion. SIGMETRICS Perform. Evaluation Rev. 41(4): 47-49 (2014) - [j40]Jayakrishnan Nair, Vijay G. Subramanian, Adam Wierman:
On competitive provisioning of cloud services. SIGMETRICS Perform. Evaluation Rev. 42(2): 30-32 (2014) - [j39]Costas Courcoubetis, Roch Guérin, Patrick Loiseau, David C. Parkes, Jean C. Walrand, Adam Wierman:
Special Issue on Pricing and Incentives in Networks and Systems: Guest Editors' Introduction. ACM Trans. Internet Techn. 14(2-3): 8:1-8:3 (2014) - [c50]Jayakrishnan Nair, Vijay G. Subramanian, Adam Wierman:
On competitive provisioning of ad-supported cloud services. Allerton 2014: 137-139 - [c49]Subhonmesh Bose, Desmond W. H. Cai, Steven H. Low, Adam Wierman:
The role of a market maker in networked cournot competition. CDC 2014: 4479-4484 - [c48]Niangjun Chen, Lingwen Gan, Steven H. Low, Adam Wierman:
Distributional analysis for model predictive deferrable load control. CDC 2014: 6433-6438 - [c47]Adam Wierman, Zhenhua Liu, Iris Liu, Hamed Mohsenian Rad:
Opportunities and challenges for data center demand response. IGCC 2014: 1-10 - [c46]Mahdi Ghamkhari, Hamed Mohsenian Rad, Adam Wierman:
Optimal risk-aware power procurement for data centers in day-ahead and real-time electricity markets. INFOCOM Workshops 2014: 610-615 - [c45]Ganesh Ananthanarayanan, Michael Chien-Chun Hung, Xiaoqi Ren, Ion Stoica, Adam Wierman, Minlan Yu:
GRASS: Trimming Stragglers in Approximation Analytics. NSDI 2014: 289-302 - [c44]Ragavendran Gopalakrishnan, Sherwin Doroudi, Amy R. Ward, Adam Wierman:
Routing and staffing when servers are strategic. EC 2014: 713-714 - [c43]Rachel Cummings, Federico Echenique, Adam Wierman:
The empirical implications of privacy-aware choice. EC 2014: 969 - [c42]Jayakrishnan Nair, Sachin Adlakha, Adam Wierman:
Energy procurement strategies in the presence of intermittent sources. SIGMETRICS 2014: 85-97 - [c41]Zhenhua Liu, Iris Liu, Steven H. Low, Adam Wierman:
Pricing data center demand response. SIGMETRICS 2014: 111-123 - [c40]Siddharth Barman, Umang Bhaskar, Federico Echenique, Adam Wierman:
On the Existence of Low-Rank Explanations for Mixed Strategy Behavior. WINE 2014: 447-452 - [i11]Rachel Cummings, Federico Echenique, Adam Wierman:
The Empirical Implications of Privacy-Aware Choice. CoRR abs/1401.0336 (2014) - [i10]Ragavendran Gopalakrishnan, Sherwin Doroudi, Amy R. Ward, Adam Wierman:
Routing and Staffing when Servers are Strategic. CoRR abs/1402.3606 (2014) - [i9]Ragavendran Gopalakrishnan, Jason R. Marden, Adam Wierman:
Potential Games are Necessary to Ensure Pure Nash Equilibria in Cost Sharing Games. CoRR abs/1402.3610 (2014) - [i8]Subhonmesh Bose, Desmond W. H. Cai, Steven H. Low, Adam Wierman:
The Role of a Market Maker in Networked Cournot Competition. CoRR abs/1403.7286 (2014) - 2013
- [j38]Jason R. Marden, Adam Wierman:
Distributed Welfare Games. Oper. Res. 61(1): 155-168 (2013) - [j37]Minghong Lin, Li Zhang, Adam Wierman, Jian Tan:
Joint optimization of overlapping phases in MapReduce. Perform. Evaluation 70(10): 720-735 (2013) - [j36]Zhenhua Liu, Adam Wierman, Yuan Chen, Benjamin Razon, Niangjun Chen:
Data center demand response: Avoiding the coincident peak via workload shifting and local generation. Perform. Evaluation 70(10): 770-791 (2013) - [j35]Minghong Lin, Li Zhang, Adam Wierman, Jian Tan:
Joint optimization of overlapping phases in MapReduce. SIGMETRICS Perform. Evaluation Rev. 41(3): 16-18 (2013) - [j34]Lingwen Gan, Adam Wierman, Ufuk Topcu, Niangjun Chen, Steven H. Low:
Real-time deferrable load control: handling the uncertainties of renewable generation. SIGMETRICS Perform. Evaluation Rev. 41(3): 77-79 (2013) - [j33]Jason R. Marden, Adam Wierman:
Overcoming the Limitations of Utility Design for Multiagent Systems. IEEE Trans. Autom. Control. 58(6): 1402-1415 (2013) - [j32]Minghong Lin, Adam Wierman, Lachlan L. H. Andrew, Eno Thereska:
Dynamic Right-Sizing for Power-Proportional Data Centers. IEEE/ACM Trans. Netw. 21(5): 1378-1391 (2013) - [c39]Desmond W. H. Cai, Adam Wierman:
Inefficiency in forward markets with supply friction. CDC 2013: 5594-5599 - [c38]Lachlan L. H. Andrew, Siddharth Barman, Katrina Ligett, Minghong Lin, Adam Meyerson, Alan Roytman, Adam Wierman:
A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret. COLT 2013: 741-763 - [c37]Lingwen Gan, Adam Wierman, Ufuk Topcu, Niangjun Chen, Steven H. Low:
Real-time deferrable load control: handling the uncertainties of renewable generation. e-Energy 2013: 113-124 - [c36]Kai Wang, Minghong Lin, Florin Ciucu, Adam Wierman, Chuang Lin:
Characterizing the impact of the workload on the value of dynamic resizing in data centers. INFOCOM 2013: 515-519 - [c35]Jayakrishnan Nair, Krishna P. Jagannathan, Adam Wierman:
When heavy-tailed and light-tailed flows compete: The response time tail under generalized max-weight scheduling. INFOCOM 2013: 2976-2984 - [c34]Siddharth Barman, Umang Bhaskar, Federico Echenique, Adam Wierman:
The empirical implications of rank in Bimatrix games. EC 2013: 55-72 - [c33]Ragavendran Gopalakrishnan, Jason R. Marden, Adam Wierman:
Potential games are necessary to ensure pure nash equilibria in cost sharing games. EC 2013: 563-564 - [c32]Lachlan L. H. Andrew, Siddharth Barman, Katrina Ligett, Minghong Lin, Adam Meyerson, Alan Roytman, Adam Wierman:
A tale of two metrics: simultaneous bounds on competitiveness and regret. SIGMETRICS 2013: 329-330 - [c31]Zhenhua Liu, Adam Wierman, Yuan Chen, Benjamin Razon, Niangjun Chen:
Data center demand response: avoiding the coincident peak via workload shifting and local generation. SIGMETRICS 2013: 341-342 - [c30]Jayakrishnan Nair, Adam Wierman, Bert Zwart:
The fundamentals of heavy-tails: properties, emergence, and identification. SIGMETRICS 2013: 387-388 - [i7]Siddharth Barman, Umang Bhaskar, Federico Echenique, Adam Wierman:
The Empirical Implications of Rank in Bimatrix Games. CoRR abs/1305.3336 (2013) - [i6]Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant G. Mehta, Sean P. Meyn, Adam Wierman:
Approximate dynamic programming using fluid and diffusion approximations with applications to power management. CoRR abs/1307.1759 (2013) - [i5]Subhonmesh Bose, Elizabeth Bodine-Baron, Babak Hassibi, Adam Wierman:
The Cost of an Epidemic over a Complex Network: A Random Matrix Approach. CoRR abs/1309.2236 (2013) - [i4]Siddharth Barman, Umang Bhaskar, Federico Echenique, Adam Wierman:
The Complexity of Nash Equilibria as Revealed by Data. CoRR abs/1311.2655 (2013) - 2012
- [j31]Adam Wierman, Bert Zwart:
Is Tail-Optimal Scheduling Possible? Oper. Res. 60(5): 1249-1257 (2012) - [j30]A. C. C. van Wijk, Ivo J. B. F. Adan, Onno J. Boxma, Adam Wierman:
Fairness and efficiency for polling models with the k-gated service discipline. Perform. Evaluation 69(6): 274-288 (2012) - [j29]Adam Wierman, Lachlan L. H. Andrew, Ao Tang:
Power-aware speed scaling in processor sharing systems: Optimality and robustness. Perform. Evaluation 69(12): 601-622 (2012) - [j28]Minghong Lin, Adam Wierman, Alan Roytman, Adam Meyerson, Lachlan L. H. Andrew:
Online optimization with switching cost. SIGMETRICS Perform. Evaluation Rev. 40(3): 98-100 (2012) - [j27]Chang-Woo Yang, Adam Wierman, Sanjay Shakkottai, Mor Harchol-Balter:
Many Flows Asymptotics for SMART Scheduling Policies. IEEE Trans. Autom. Control. 57(2): 376-391 (2012) - [c29]Vinod Ramaswamy, Sachin Adlakha, Srinivas Shakkottai, Adam Wierman:
Incentives for P2P-assisted content distribution: If you can't beat 'em, join 'em. Allerton Conference 2012: 1409-1416 - [c28]Minghong Lin, Zhenhua Liu, Adam Wierman, Lachlan L. H. Andrew:
Online algorithms for geographical load balancing. IGCC 2012: 1-10 - [c27]Federico Echenique, Adam Wierman:
Finding a walrasian equilibrium is easy for a fixed number of agents. EC 2012: 495 - [c26]Zhenhua Liu, Yuan Chen, Cullen E. Bash, Adam Wierman, Daniel Gmach, Zhikui Wang, Manish Marwah, Chris Hyser:
Renewable and cooling aware workload management for sustainable data centers. SIGMETRICS 2012: 175-186 - [c25]Kai Wang, Minghong Lin, Florin Ciucu, Adam Wierman, Chuang Lin:
Characterizing the impact of the workload on the value of dynamic resizing in data centers. SIGMETRICS 2012: 405-406 - [r1]Adam Wierman, Lachlan L. H. Andrew, Minghong Lin:
Speed Scaling. Handbook of Energy-Aware and Green Computing 2012: 385-405 - [i3]Kai Wang, Minghong Lin, Florin Ciucu, Adam Wierman, Chuang Lin:
Characterizing the Impact of the Workload on the Value of Dynamic Resizing in Data Centers. CoRR abs/1207.6295 (2012) - [i2]Vinod Ramaswamy, Sachin Adlakha, Srinivas Shakkottai, Adam Wierman:
Incentives for P2P-Assisted Content Distribution: If You Can't Beat 'Em, Join 'Em. CoRR abs/1212.3853 (2012) - 2011
- [j26]Minghong Lin, Adam Wierman, Bert Zwart:
Heavy-traffic analysis of mean response time under Shortest Remaining Processing Time. Perform. Evaluation 68(10): 955-966 (2011) - [j25]Jonatha Anselmi, Urtzi Ayesta, Adam Wierman:
Competition yields efficiency in load balancing games. Perform. Evaluation 68(11): 986-1001 (2011) - [j24]Federico Echenique, Daniel Golovin, Adam Wierman:
Complexity and economics: computational constraints may not matter empirically. SIGecom Exch. 10(1): 2-5 (2011) - [j23]Jayakrishnan Nair, Adam Wierman, Bert Zwart:
Exploiting network effects in the provisioning of large scale systems. SIGMETRICS Perform. Evaluation Rev. 39(2): 26-28 (2011) - [j22]Sherwin Doroudi, Ragavendran Gopalakrishnan, Adam Wierman:
Dispatching to incentivize fast service in multi-server queues. SIGMETRICS Perform. Evaluation Rev. 39(3): 43-45 (2011) - [j21]Zhenhua Liu, Minghong Lin, Adam Wierman, Steven H. Low, Lachlan L. H. Andrew:
Geographical load balancing with renewables. SIGMETRICS Perform. Evaluation Rev. 39(3): 62-66 (2011) - [c24]Minghong Lin, Adam Wierman, Lachlan L. H. Andrew, Eno Thereska:
Online dynamic capacity provisioning in data centers. Allerton 2011: 1159-1163 - [c23]Elizabeth Bodine-Baron, Subhonmesh Bose, Babak Hassibi, Adam Wierman:
Minimizing the Social Cost of an Epidemic. GAMENETS 2011: 594-607 - [c22]Minghong Lin, Adam Wierman, Lachlan L. H. Andrew, Eno Thereska:
Dynamic right-sizing for power-proportional data centers. INFOCOM 2011: 1098-1106 - [c21]Ragavendran Gopalakrishnan, Jason R. Marden, Adam Wierman:
Characterizing distribution rules for cost sharing games. NetGCoop 2011: 1-4 - [c20]Elizabeth Bodine-Baron, Christina Lee, Anthony Chong, Babak Hassibi, Adam Wierman:
Peer Effects and Stability in Matching Markets. SAGT 2011: 117-129 - [c19]Federico Echenique, Daniel Golovin, Adam Wierman:
A revealed preference approach to computational complexity in economics. EC 2011: 101-110 - [c18]Zhenhua Liu, Minghong Lin, Adam Wierman, Steven H. Low, Lachlan L. H. Andrew:
Greening geographical load balancing. SIGMETRICS 2011: 233-244 - [i1]Elizabeth Bodine-Baron, Christina Lee, Anthony Chong, Babak Hassibi, Adam Wierman:
Peer Effects and Stability in Matching Markets. CoRR abs/1104.0052 (2011) - 2010
- [j20]Elizabeth Bodine-Baron, Babak Hassibi, Adam Wierman:
Distance-Dependent Kronecker Graphs for Modeling Social Networks. IEEE J. Sel. Top. Signal Process. 4(4): 718-731 (2010) - [j19]Jayakrishnan Nair, Adam Wierman, Bert Zwart:
Tail-robust scheduling via limited processor sharing. Perform. Evaluation 67(11): 978-995 (2010) - [j18]Minghong Lin, Adam Wierman, Bert Zwart:
The average response time in a heavy-traffic srpt queue. SIGMETRICS Perform. Evaluation Rev. 38(2): 12-14 (2010) - [j17]Ragavendran Gopalakrishnan, Jason R. Marden, Adam Wierman:
An architectural view of game theoretic control. SIGMETRICS Perform. Evaluation Rev. 38(3): 31-36 (2010) - [c17]Jayakrishnan Nair, Adam Wierman, Bert Zwart:
Scheduling for the tail: Robustness versus optimality. Allerton 2010: 969-976 - [c16]Lachlan L. H. Andrew, Minghong Lin, Adam Wierman:
Optimality, fairness, and robustness in speed scaling designs. SIGMETRICS 2010: 37-48
2000 – 2009
- 2009
- [j16]Lachlan L. H. Andrew, Adam Wierman, Ao Tang:
Optimal speed scaling under arbitrary power functions. SIGMETRICS Perform. Evaluation Rev. 37(2): 39-41 (2009) - [c15]Elizabeth Bodine-Baron, Babak Hassibi, Adam Wierman:
Generalizing Kronecker graphs in order to model searchable networks. Allerton 2009: 194-201 - [c14]Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant G. Mehta, Sean P. Meyn, Adam Wierman:
Approximate dynamic programming using fluid and diffusion approximations with applications to power management. CDC 2009: 3575-3580 - [c13]Jason R. Marden, Adam Wierman:
Overcoming limitations of game-theoretic distributed control. CDC 2009: 6466-6471 - [c12]Adam Wierman, Lachlan L. H. Andrew, Ao Tang:
Power-Aware Speed Scaling in Processor Sharing Systems. INFOCOM 2009: 2007-2015 - [c11]Ho-Lin Chen, Jason R. Marden, Adam Wierman:
On the Impact of Heterogeneity and Back-End Scheduling in Load Balancing Designs. INFOCOM 2009: 2267-2275 - 2008
- [j15]Misja Nuyens, Adam Wierman, Bert Zwart:
Preventing Large Sojourn Times Using SMART Scheduling. Oper. Res. 56(1): 88-101 (2008) - [j14]Misja Nuyens, Adam Wierman:
The Foreground-Background queue: A survey. Perform. Evaluation 65(3-4): 286-307 (2008) - [j13]Ho-Lin Chen, Jason R. Marden, Adam Wierman:
The effect of local scheduling in load balancing designs. SIGMETRICS Perform. Evaluation Rev. 36(2): 110-112 (2008) - [c10]Adam Wierman, Lachlan L. H. Andrew, Ao Tang:
Stochastic analysis of power-aware scheduling. Allerton 2008: 1278-1283 - [c9]Jason R. Marden, Adam Wierman:
Distributed welfare games with applications to sensor coverage. CDC 2008: 1708-1713 - [c8]Adam Wierman, Misja Nuyens:
Scheduling despite inexact job-size information. SIGMETRICS 2008: 25-36 - 2007
- [j12]Adam Wierman, Erik M. M. Winands, Onno J. Boxma:
Scheduling in polling systems. Perform. Evaluation 64(9-12): 1009-1028 (2007) - [j11]Adam Wierman:
Fairness and classifications. SIGMETRICS Perform. Evaluation Rev. 34(4): 4-12 (2007) - 2006
- [j10]Adam Wierman, Takayuki Osogami, Mor Harchol-Balter, Alan Scheller-Wolf:
How many servers are best in a dual-priority M/PH/k system? Perform. Evaluation 63(12): 1253-1272 (2006) - [j9]Adam Wierman:
On the effect of inexact size information in size based policies. SIGMETRICS Perform. Evaluation Rev. 34(3): 21-23 (2006) - [c7]Bianca Schroeder, Mor Harchol-Balter, Arun Iyengar, Erich M. Nahum, Adam Wierman:
How to Determine a Good Multi-Programming Level for External Scheduling. ICDE 2006: 60 - [c6]Bianca Schroeder, Adam Wierman, Mor Harchol-Balter:
Open Versus Closed: A Cautionary Tale. NSDI 2006 - [c5]Chang-Woo Yang, Adam Wierman, Sanjay Shakkottai, Mor Harchol-Balter:
Tail asymptotics for policies favoring short jobs in a many-flows regime. SIGMETRICS/Performance 2006: 97-108 - 2005
- [j8]Mor Harchol-Balter, Takayuki Osogami, Alan Scheller-Wolf, Adam Wierman:
Multi-Server Queueing Systems with Multiple Priority Classes. Queueing Syst. Theory Appl. 51(3-4): 331-360 (2005) - [c4]Adam Wierman, Mor Harchol-Balter, Takayuki Osogami:
Nearly insensitive bounds on SMART scheduling. SIGMETRICS 2005: 205-216 - [c3]Adam Wierman, Mor Harchol-Balter:
Classifying scheduling policies with respect to higher moments of conditional response time. SIGMETRICS 2005: 229-240 - 2004
- [j7]Adam Wierman, Julia Salzman, Michael Jablonski, Anant P. Godbole:
An improved upper bound for the pebbling threshold of the n-path. Discret. Math. 275(1-3): 367-373 (2004) - [j6]Adam Wierman, Nikhil Bansal, Mor Harchol-Balter:
A note on comparing response times in the M/GI/1/FB and M/GI/1/PS queues. Oper. Res. Lett. 32(1): 73-76 (2004) - [j5]Takayuki Osogami, Adam Wierman, Mor Harchol-Balter, Alan Scheller-Wolf:
A recursive analysis technique for multi-dimensionally infinite Markov chains. SIGMETRICS Perform. Evaluation Rev. 32(2): 3-5 (2004) - [j4]Adam Wierman, Mor Harchol-Balter:
Formalizing SMART scheduling. SIGMETRICS Perform. Evaluation Rev. 32(2): 12-13 (2004) - 2003
- [j3]Adam Wierman, Takayuki Osogami, Jörgen Olsén:
Modeling TCP-vegas under on/off traffic. SIGMETRICS Perform. Evaluation Rev. 31(2): 6-8 (2003) - [c2]Adam Wierman, Takayuki Osogami, Jörgen Olsén:
A Unified Framework for Modeling TCP-Vegas, TCP-SACK, and TCP-Reno. MASCOTS 2003: 269-278 - [c1]Adam Wierman, Mor Harchol-Balter:
Classifying scheduling policies with respect to unfairness in an M/GI/1. SIGMETRICS 2003: 238-249 - 2002
- [j2]Mor Harchol-Balter, Karl Sigman, Adam Wierman:
Asymptotic convergence of scheduling policies with respect to slowdown. Perform. Evaluation 49(1/4): 241-256 (2002) - [j1]Mor Harchol-Balter, Karl Sigman, Adam Wierman:
Understanding the slowdown of large jobs in an M/GI/1 system. SIGMETRICS Perform. Evaluation Rev. 30(3): 9-11 (2002)
Coauthor Index
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