• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 94 matches

• 2024
• 
  Sihan Zeng, Thinh T. Doan, Justin Romberg:
  A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. SIAM J. Optim. 34(1): 946-976 (2024)
• 
  Sihan Zeng, Thinh T. Doan:
  Fast two-time-scale stochastic gradient method with applications in reinforcement learning. COLT 2024: 5166-5212
• 
  Duy Anh Do, Thinh T. Doan:
  Convergence Rates of Gradient Descent-Ascent Dynamics Under Delays in Solving Nonconvex Min-Max Optimization. ECC 2024: 2748-2753
• 
  Yitao Bai, Thinh T. Doan:
  Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning. L4DC 2024: 1046-1057
• 
  Doanh C. Bui, Thinh V. Le, Hung Ba Ngo:
  C²T-Net: Channel-Aware Cross-Fused Transformer-Style Networks for Pedestrian Attribute Recognition. WACV (Workshops) 2024: 351-358
• 
  Thinh T. Doan:
  Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving O(1/k) Finite-Sample Complexity. CoRR abs/2401.12764 (2024)
• 
  Doanh C. Bui, Thinh V. Le, Hung Ba Ngo, Tae Jong Choi:
  CLEAR: Cross-Transformers with Pre-trained Language Model is All you need for Person Attribute Recognition and Retrieval. CoRR abs/2403.06119 (2024)
• 
  Sihan Zeng, Thinh T. Doan, Justin Romberg:
  Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning. CoRR abs/2405.02456 (2024)
• 
  Sihan Zeng, Thinh T. Doan:
  Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning. CoRR abs/2405.09660 (2024)
• 
  Son Nguyen, Thinh Nguyen, Khoa D. Doan, Kok-Seng Wong:
  Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning. CoRR abs/2407.03144 (2024)
• 
  Thinh Nguyen, Khoa D. Doan, Binh T. Nguyen, Danh Le Phuoc, Kok-Seng Wong:
  Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator. CoRR abs/2407.11078 (2024)
• 
  Thinh Dao, Cuong Chi Le, Khoa D. Doan, Kok-Seng Wong:
  Towards Clean-Label Backdoor Attacks in the Physical World. CoRR abs/2407.19203 (2024)
• 
  Zhenyuan Yuan, Thinh T. Doan:
  Bayesian meta learning for trustworthy uncertainty quantification. CoRR abs/2407.19287 (2024)
• 2023
• 
  Vo Duc Thinh, Thai Doan Chuong, Nguyen Le Hoang Anh:
  Formulas of first-ordered and second-ordered generalization differentials for convex robust systems with applications. Appl. Math. Comput. 455: 128114 (2023)
• 
  Thinh T. Doan:
  Finite-time convergence rates of distributed local stochastic approximation. Autom. 158: 111294 (2023)
• 
  Vo Duc Thinh, Thai Doan Chuong, Nguyen Le Hoang Anh:
  Second order analysis for robust inclusion systems and applications. J. Glob. Optim. 85(1): 81-110 (2023)
• 
  Khang Nguyen, Thinh V. Le, Huyen Ngoc N. Van, Doanh C. Bui:
  Improving human-object interaction with auxiliary semantic information and enhanced instance representation. Pattern Recognit. Lett. 175: 38-43 (2023)
• 
  Thinh T. Doan:
  Finite-Time Analysis of Markov Gradient Descent. IEEE Trans. Autom. Control. 68(4): 2140-2153 (2023)
• 
  Thinh T. Doan:
  Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance. IEEE Trans. Autom. Control. 68(8): 4695-4705 (2023)
• 
  Sajad Khodadadian, Thinh T. Doan, Justin Romberg, Siva Theja Maguluri:
  Finite-Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. IEEE Trans. Autom. Control. 68(6): 3273-3284 (2023)
• 
  Sihan Zeng, Thinh T. Doan, Justin Romberg:
  Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning. IEEE Trans. Autom. Control. 68(5): 2758-2773 (2023)
• 
  Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya:
  Byzantine Fault-Tolerance in Federated Local SGD Under $2f$-Redundancy. IEEE Trans. Control. Netw. Syst. 10(4): 1669-1681 (2023)
• 
  Hao-Hsuan Chang, Yifei Song, Thinh T. Doan, Lingjia Liu:
  Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access. IEEE Trans. Wirel. Commun. 22(8): 5337-5348 (2023)
• 
  Amit Dutta, Thinh T. Doan, Jeffrey H. Reed:
  Resilient Federated Learning Under Byzantine Attack in Distributed Nonconvex Optimization with 2-$f$ Redundancy. CDC 2023: 1156-1161
• 
  Sihan Zeng, Thinh T. Doan, Justin Romberg:
  Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. NeurIPS 2023
• 
  Quan A. Nguyen, Nhung T. C. Nguyen, Son H. H. Nguyen, Phuong T. K. Doan, Nguyen H. Thinh, Tung H. Tran, Anh T. L. Luong, Ha V. Le, Ha Manh Luu:
  Improving Classification of Curved Chromosomes in Karyotyping using CNN-based Deformation. SSP 2023: 285-289
• 
  Sihan Zeng, Thinh T. Doan, Justin Romberg:
  Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. CoRR abs/2303.12981 (2023)
• 2022
• 
  Zaiwei Chen, Sheng Zhang, Thinh T. Doan, John-Paul Clarke, Siva Theja Maguluri:
  Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning. Autom. 146: 110623 (2022)
• 
  Sarnaduti Brahma, Yitao Bai, Duy Anh Do, Thinh T. Doan:
  Convergence Rates of Asynchronous Policy Iteration for Zero-Sum Markov Games under Stochastic and Optimistic Settings. CDC 2022: 3493-3498
• 
  Amit Dutta, Almuatazbellah M. Boker, Thinh T. Doan:
  Convergence Rates of Distributed Consensus over Cluster Networks: A Two-Time-Scale Approach. CDC 2022: 7035-7040

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