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2020 – today
- 2024
[c34]Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas:
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions. ICLR 2024- [c33]Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas:
Robustly Learning Single-Index Models via Alignment Sharpness. ICML 2024 - [i39]Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas:
Robustly Learning Single-Index Models via Alignment Sharpness. CoRR abs/2402.17756 (2024) - [i38]Xufeng Cai, Jelena Diakonikolas:
Last Iterate Convergence of Incremental Methods and Applications in Continual Learning. CoRR abs/2403.06873 (2024) - [i37]Shuyao Li, Yu Cheng
, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge, Stephen J. Wright:
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing. CoRR abs/2403.10547 (2024) - [i36]Ronak Mehta, Jelena Diakonikolas, Zaïd Harchaoui:
A Primal-Dual Algorithm for Faster Distributionally Robust Optimization. CoRR abs/2403.10763 (2024) - [i35]Jelena Diakonikolas, Cristóbal Guzmán:
Optimization on a Finer Scale: Bounded Local Subgradient Variation Perspective. CoRR abs/2403.16317 (2024) - 2023
- [j11]Chaobing Song, Jelena Diakonikolas:
Cyclic Coordinate Dual Averaging with Extrapolation. SIAM J. Optim. 33(4): 2935-2961 (2023) - [c32]Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis:
Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise. COLT 2023: 2211-2239 - [c31]Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. ICML 2023: 3469-3494 - [c30]Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas:
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization. ICML 2023: 21101-21126 - [c29]Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas:
Robustly Learning a Single Neuron via Sharpness. ICML 2023: 36541-36577 - [c28]Darshan Chakrabarti, Jelena Diakonikolas, Christian Kroer:
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games. NeurIPS 2023 - [c27]Ilias Diakonikolas, Jelena Diakonikolas, Daniel Kane, Puqian Wang, Nikos Zarifis:
Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise. NeurIPS 2023 - [c26]Shuyao Li, Yu Cheng, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge, Stephen J. Wright:
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing. NeurIPS 2023 - [i34]Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas:
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization. CoRR abs/2303.16279 (2023) - [i33]Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas:
Robustly Learning a Single Neuron via Sharpness. CoRR abs/2306.07892 (2023) - [i32]Xufeng Cai, Cheuk Yin Lin, Jelena Diakonikolas:
Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds. CoRR abs/2306.12498 (2023) - [i31]Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis:
Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise. CoRR abs/2306.16352 (2023) - [i30]Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis:
Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise. CoRR abs/2307.08438 (2023) - [i29]Darshan Chakrabarti, Jelena Diakonikolas, Christian Kroer:
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games. CoRR abs/2307.16754 (2023) - [i28]Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas:
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions. CoRR abs/2310.02987 (2023) - 2022
- [j10]Jelena Diakonikolas, Puqian Wang:
Potential Function-Based Framework for Minimizing Gradients in Convex and Min-Max Optimization. SIAM J. Optim. 32(3): 1668-1697 (2022) - [c25]Xufeng Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas:
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions. NeurIPS 2022 - [c24]Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song:
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. NeurIPS 2022 - [c23]Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas:
Coordinate Linear Variance Reduction for Generalized Linear Programming. NeurIPS 2022 - [i27]Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song:
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. CoRR abs/2203.03808 (2022) - [i26]Xufeng Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas:
A Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusion Problems. CoRR abs/2203.09436 (2022) - [i25]Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. CoRR abs/2212.05088 (2022) - 2021
- [j9]Jelena Diakonikolas, Michael I. Jordan:
Generalized Momentum-Based Methods: A Hamiltonian Perspective. SIAM J. Optim. 31(1): 915-944 (2021) - [c22]Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan:
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization. AISTATS 2021: 2746-2754 - [c21]Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta:
Parameter-free Locally Accelerated Conditional Gradients. ICML 2021: 1283-1293 - [c20]Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. ICML 2021: 9824-9834 - [i24]Jelena Diakonikolas, Cristóbal Guzmán:
Complementary Composite Minimization, Small Gradients in General Norms, and Applications to Regression Problems. CoRR abs/2101.11041 (2021) - [i23]Jelena Diakonikolas, Puqian Wang:
Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization. CoRR abs/2101.12101 (2021) - [i22]Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta:
Parameter-free Locally Accelerated Conditional Gradients. CoRR abs/2102.06806 (2021) - [i21]Chaobing Song, Jelena Diakonikolas:
Fast Cyclic Coordinate Dual Averaging with Extrapolation for Generalized Variational Inequalities. CoRR abs/2102.13244 (2021) - [i20]Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. CoRR abs/2102.13643 (2021) - [i19]Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas:
Coordinate Linear Variance Reduction for Generalized Linear Programming. CoRR abs/2111.01842 (2021) - 2020
- [j8]Jelena Diakonikolas, Cristóbal Guzmán:
Lower Bounds for Parallel and Randomized Convex Optimization. J. Mach. Learn. Res. 21: 5:1-5:31 (2020) - [j7]Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia:
Fair Packing and Covering on a Relative Scale. SIAM J. Optim. 30(4): 3284-3314 (2020) - [j6]Tingjun Chen, Jelena Diakonikolas, Javad Ghaderi, Gil Zussman:
Hybrid Scheduling in Heterogeneous Half- and Full-Duplex Wireless Networks. IEEE/ACM Trans. Netw. 28(2): 764-777 (2020) - [c19]Niladri S. Chatterji, Jelena Diakonikolas, Michael I. Jordan, Peter L. Bartlett:
Langevin Monte Carlo without smoothness. AISTATS 2020: 1716-1726 - [c18]Jelena Diakonikolas, Alejandro Carderera, Sebastian Pokutta:
Locally Accelerated Conditional Gradients. AISTATS 2020: 1737-1747 - [c17]Jelena Diakonikolas:
Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities. COLT 2020: 1428-1451 - [i18]Jelena Diakonikolas:
Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities. CoRR abs/2002.08872 (2020) - [i17]Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan:
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization. CoRR abs/2011.00364 (2020)
2010 – 2019
- 2019
- [j5]Jelena Diakonikolas, Lorenzo Orecchia:
The Approximate Duality Gap Technique: A Unified Theory of First-Order Methods. SIAM J. Optim. 29(1): 660-689 (2019) - [c16]Jelena Diakonikolas, Cristóbal Guzmán:
Lower Bounds for Parallel and Randomized Convex Optimization. COLT 2019: 1132-1157 - [c15]Maotong Xu, Jelena Diakonikolas, Eytan H. Modiano, Suresh Subramaniam:
A Hierarchical WDM-Based Scalable Data Center Network Architecture. ICC 2019: 1-7 - [i16]Maotong Xu, Jelena Diakonikolas, Eytan H. Modiano, Suresh Subramaniam:
A Hierarchical WDM-based Scalable Data Center Network Architecture. CoRR abs/1901.06450 (2019) - [i15]Niladri S. Chatterji, Jelena Diakonikolas, Michael I. Jordan, Peter L. Bartlett:
Langevin Monte Carlo without Smoothness. CoRR abs/1905.13285 (2019) - [i14]Jelena Diakonikolas, Michael I. Jordan:
Generalized Momentum-Based Methods: A Hamiltonian Perspective. CoRR abs/1906.00436 (2019) - [i13]Alejandro Carderera, Jelena Diakonikolas, Sebastian Pokutta:
Locally Accelerated Conditional Gradients. CoRR abs/1906.07867 (2019) - [i12]Jelena Diakonikolas, Lorenzo Orecchia:
Conjugate Gradients and Accelerated Methods Unified: The Approximate Duality Gap View. CoRR abs/1907.00289 (2019) - 2018
- [j4]Jelena Diakonikolas, Gil Zussman:
On the Rate Regions of Single-Channel and Multi-Channel Full-Duplex Links. IEEE/ACM Trans. Netw. 26(1): 47-60 (2018) - [c14]Tingjun Chen, Jelena Diakonikolas, Javad Ghaderi, Gil Zussman:
Fairness and Delay in Heterogeneous Half- and Full-Duplex Wireless Networks. ACSSC 2018: 2207-2211 - [c13]Michael Cohen, Jelena Diakonikolas, Lorenzo Orecchia:
On Acceleration with Noise-Corrupted Gradients. ICML 2018: 1018-1027 - [c12]Jelena Diakonikolas, Lorenzo Orecchia:
Alternating Randomized Block Coordinate Descent. ICML 2018: 1232-1240 - [c11]Tingjun Chen, Jelena Diakonikolas, Javad Ghaderi, Gil Zussman:
Hybrid Scheduling in Heterogeneous Half-and Full-Duplex Wireless Networks. INFOCOM 2018: 576-584 - [c10]Jelena Diakonikolas, Lorenzo Orecchia:
Accelerated Extra-Gradient Descent: A Novel Accelerated First-Order Method. ITCS 2018: 23:1-23:19 - [i11]Tingjun Chen, Jelena Diakonikolas, Javad Ghaderi, Gil Zussman:
Hybrid Scheduling in Heterogeneous Half- and Full-Duplex Wireless Networks. CoRR abs/1801.01108 (2018) - [i10]Michael B. Cohen, Jelena Diakonikolas, Lorenzo Orecchia:
On Acceleration with Noise-Corrupted Gradients. CoRR abs/1805.12591 (2018) - [i9]Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia:
Width-Independence Beyond Linear Objectives: Distributed Fair Packing and Covering Algorithms. CoRR abs/1808.02517 (2018) - [i8]Jelena Diakonikolas, Cristóbal Guzmán:
Lower Bounds for Parallel and Randomized Convex Optimization. CoRR abs/1811.01903 (2018) - 2017
- [j3]Jelena Marasevic, Clifford Stein, Gil Zussman:
Max-min Fair Rate Allocation and Routing in Energy Harvesting Networks: Algorithmic Analysis. Algorithmica 78(2): 521-557 (2017) - [j2]Jin Zhou, Negar Reiskarimian, Jelena Diakonikolas, Tolga Dinc, Tingjun Chen, Gil Zussman, Harish Krishnaswamy:
Integrated Full Duplex Radios. IEEE Commun. Mag. 55(4): 142-151 (2017) - [j1]Jelena Marasevic, Jin Zhou, Harish Krishnaswamy, Yuan Zhong, Gil Zussman:
Resource Allocation and Rate Gains in Practical Full-Duplex Systems. IEEE/ACM Trans. Netw. 25(1): 292-305 (2017) - [c9]Tingjun Chen, Jin Zhou, Mahmood Baraani Dastjerdi, Jelena Diakonikolas, Harish Krishnaswamy, Gil Zussman:
Demo abstract: Full-duplex with a compact frequency domain equalization-based RF canceller. INFOCOM Workshops 2017: 972-973 - [i7]Jelena Diakonikolas, Lorenzo Orecchia:
Accelerated Extra-Gradient Descent: A Novel Accelerated First-Order Method. CoRR abs/1706.04680 (2017) - [i6]Jelena Diakonikolas, Lorenzo Orecchia:
Solving Packing and Covering LPs in Õ(1/ε2) Distributed Iterations with a Single Algorithm and Simpler Analysis. CoRR abs/1710.09002 (2017) - [i5]Jelena Diakonikolas, Lorenzo Orecchia:
The Approximate Duality Gap Technique: A Unified Theory of First-Order Methods. CoRR abs/1712.02485 (2017) - 2016
- [b1]Jelena Marasevic:
Resource Allocation in Wireless Networks: Theory and Applications. Columbia University, USA, 2016 - [c8]Harish Krishnaswamy, Gil Zussman, Jin Zhou, Jelena Marasevic, Tolga Dinc, Negar Reiskarimian, Tingjun Chen:
Full-duplex in a hand-held device - From fundamental physics to complex integrated circuits, systems and networks: An overview of the Columbia FlexICoN project. ACSSC 2016: 1563-1567 - [c7]Jelena Marasevic, Clifford Stein, Gil Zussman:
A Fast Distributed Stateless Algorithm for alpha-Fair Packing Problems. ICALP 2016: 54:1-54:15 - [c6]Jelena Marasevic, Tingjun Chen, Jin Zhou, Negar Reiskarimian, Harish Krishnaswamy, Gil Zussman:
Full-duplex wireless: algorithms and rate improvement bounds for integrated circuit implementations. HotWireless@MobiCom 2016: 28-32 - [c5]Jelena Marasevic, Gil Zussman:
On the capacity regions of single-channel and multi-channel full-duplex links. MobiHoc 2016: 241-250 - [c4]Tingjun Chen, Jin Zhou, Nicole Grimwood, Rel Fogel, Jelena Marasevic, Harish Krishnaswamy, Gil Zussman:
Full-duplex wireless based on a small-form-factor analog self-interference canceller: demo. MobiHoc 2016: 357-358 - [i4]Jelena Marasevic, Gil Zussman:
On the Capacity Regions of Single-Channel and Multi-Channel Full-Duplex Links. CoRR abs/1605.07559 (2016) - 2015
- [c3]Jelena Marasevic, Jin Zhou, Harish Krishnaswamy, Yuan Zhong, Gil Zussman:
Resource Allocation and Rate Gains in Practical Full-Duplex Systems. SIGMETRICS 2015: 109-122 - [i3]Jelena Marasevic, Clifford Stein, Gil Zussman:
A Fast Distributed Algorithm for α-Fair Packing Problems. CoRR abs/1502.03372 (2015) - [i2]Jelena Marasevic, Jin Zhou, Harish Krishnaswamy, Yuan Zhong, Gil Zussman:
Resource Allocation and Rate Gains in Practical Full-Duplex Systems. CoRR abs/1503.08237 (2015) - 2014
- [c2]Jelena Marasevic, Clifford Stein, Gil Zussman:
Max-min fair rate allocation and routing in energy harvesting networks: algorithmic analysis. MobiHoc 2014: 367-376 - [i1]Jelena Marasevic, Cliff Stein, Gil Zussman:
Max-min Fair Rate Allocation and Routing in Energy Harvesting Networks: Algorithmic Analysis. CoRR abs/1406.3671 (2014) - 2013
- [c1]Jelena Marasevic, Jan Janak, Henning Schulzrinne, Gil Zussman:
WiMAX in the Classroom: Designing a Cellular Networking Hands-On Lab. GREE 2013: 104-110
Coauthor Index
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last updated on 2024-09-12 02:32 CEST by the dblp team
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