Thinh T. Doan - RankMe

78 papers A* 4A 1B 1C 5Misc 1Journal 49Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving ${\mathcal O}(1/k)$ Finite-Sample Complexity. IEEE Trans. Autom. Control. Thinh T. Doan
2025	J	`jnl`	Accelerating Multi-Task Temporal Difference Learning under Low-Rank Representation. CoRR Yitao Bai, Sihan Zeng, Justin Romberg, Thinh T. Doan
2025	C	`conf`	Distributed Optimization in Open Networks under Redundancy. ACC Amit Dutta, Thinh T. Doan
2025	J	`jnl`	Nonasymptotic CLT and Error Bounds for Two-Time-Scale Stochastic Approximation. CoRR Seo Taek Kong, Sihan Zeng, Thinh T. Doan, R. Srikant
2024	J	`jnl`	A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. SIAM J. Optim. Sihan Zeng, Thinh T. Doan, Justin Romberg
2024	—	`conf`	Bayesian meta learning for trustworthy uncertainty quantification. CDC Zhenyuan Yuan, Thinh T. Doan
2024	J	`jnl`	Bayesian meta learning for trustworthy uncertainty quantification. CoRR Zhenyuan Yuan, Thinh T. Doan
2024	—	`conf`	Convergence Rates of Gradient Descent-Ascent Dynamics Under Delays in Solving Nonconvex Min-Max Optimization. ECC Duy Anh Do, Thinh T. Doan
2024	J	`jnl`	Distributed Dual Subgradient Methods with Averaging and Applications to Grid Optimization. J. Optim. Theory Appl. Haitian Liu, Subhonmesh Bose, Dinh Hoa Nguyen, Ye Guo, Thinh T. Doan, Carolyn L. Beck
2024	J	`jnl`	Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving O(1/k) Finite-Sample Complexity. CoRR Thinh T. Doan
2024	J	`jnl`	Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning. CoRR Sihan Zeng, Thinh T. Doan
2024	A*	`conf`	Fast two-time-scale stochastic gradient method with applications in reinforcement learning. COLT Sihan Zeng, Thinh T. Doan
2024	—	`conf`	Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning. L4DC Yitao Bai, Thinh T. Doan
2024	J	`jnl`	Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2024	J	`jnl`	On the O(1/k) Convergence of Distributed Gradient Methods Under Random Quantization. IEEE Control. Syst. Lett. Amit Dutta, Thinh T. Doan
2023	J	`jnl`	Byzantine Fault-Tolerance in Federated Local SGD Under $2f$-Redundancy. IEEE Trans. Control. Netw. Syst. Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
2023	A*	`conf`	Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. NeurIPS Sihan Zeng, Thinh T. Doan, Justin Romberg
2023	J	`jnl`	Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2023	J	`jnl`	Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access. IEEE Trans. Wirel. Commun. Hao-Hsuan Chang, Yifei Song, Thinh T. Doan, Lingjia Liu
2023	J	`jnl`	Finite-Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. IEEE Trans. Autom. Control. Sajad Khodadadian, Thinh T. Doan, Justin Romberg, Siva Theja Maguluri
2023	J	`jnl`	Finite-Time Analysis of Markov Gradient Descent. IEEE Trans. Autom. Control. Thinh T. Doan
2023	J	`jnl`	Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning. IEEE Trans. Autom. Control. Sihan Zeng, Thinh T. Doan, Justin Romberg
2023	J	`jnl`	Finite-time convergence rates of distributed local stochastic approximation. Autom. Thinh T. Doan
2023	J	`jnl`	Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance. IEEE Trans. Autom. Control. Thinh T. Doan
2023	—	`conf`	Resilient Federated Learning Under Byzantine Attack in Distributed Nonconvex Optimization with 2-$f$ Redundancy. CDC Amit Dutta, Thinh T. Doan, Jeffrey H. Reed
2022	—	`conf`	Convergence Rates of Asynchronous Policy Iteration for Zero-Sum Markov Games under Stochastic and Optimistic Settings. CDC Sarnaduti Brahma, Yitao Bai, Duy Anh Do, Thinh T. Doan
2022	—	`conf`	Convergence Rates of Decentralized Gradient Dynamics over Cluster Networks: Multiple-Time-Scale Lyapunov Approach. CDC Amit Dutta, Nila Masrourisaadat, Thinh T. Doan
2022	—	`conf`	Convergence Rates of Distributed Consensus over Cluster Networks: A Two-Time-Scale Approach. CDC Amit Dutta, Almuatazbellah M. Boker, Thinh T. Doan
2022	—	`conf`	Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems. L4DC Thinh T. Doan
2022	J	`jnl`	Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games. CoRR Dingyang Chen, Qi Zhang, Thinh T. Doan
2022	—	`conf`	Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes. CDC Sihan Zeng, Thinh T. Doan, Justin Romberg
2022	J	`jnl`	Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning. Autom. Zaiwei Chen, Sheng Zhang, Thinh T. Doan, John-Paul Clarke, Siva Theja Maguluri
2022	A*	`conf`	Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. NeurIPS Sihan Zeng, Thinh T. Doan, Justin Romberg
2022	J	`jnl`	Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2021	B	`conf`	A Resilient and Robust Edge-Cloud Network System Supporting CPS. MASS Tanmoy Sen, Haiying Shen, Walid Saad, Thinh T. Doan
2021	J	`jnl`	A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2021	A	`conf`	A decentralized policy gradient approach to multi-task reinforcement learning. UAI Sihan Zeng, Malik Aqeel Anwar, Thinh T. Doan, Arijit Raychowdhury, Justin Romberg
2021	C	`conf`	Byzantine Fault-Tolerance in Decentralized Optimization under 2f-Redundancy. ACC Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
2021	J	`jnl`	Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy. CoRR Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
2021	J	`jnl`	Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach. IEEE Trans. Autom. Control. Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2021	J	`jnl`	Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems. CoRR Thinh T. Doan
2021	J	`jnl`	Distributed Grid Optimization via Distributed Dual Subgradient Methods with Averaging. CoRR Subhonmesh Bose, Hoa Dinh Nguyen, Haitian Liu, Ye Guo, Thinh T. Doan, Carolyn L. Beck
2021	J	`jnl`	Distributed Resource Allocation Over Dynamic Networks With Uncertainty. IEEE Trans. Autom. Control. Thinh T. Doan, Carolyn L. Beck
2021	C	`conf`	Distributed two-time-scale methods over clustered networks. ACC Van Thiem Pham, Thinh T. Doan, Dinh Hoa Nguyen
2021	J	`jnl`	Fast Convergence Rates of Distributed Subgradient Methods With Adaptive Quantization. IEEE Trans. Autom. Control. Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2021	J	`jnl`	Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. CoRR Sajad Khodadadian, Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2021	J	`jnl`	Finite-Time Analysis and Restarting Scheme for Linear Two-Time-Scale Stochastic Approximation. SIAM J. Control. Optim. Thinh T. Doan
2021	—	`conf`	Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning. CDC Sihan Zeng, Thinh T. Doan, Justin Romberg
2021	J	`jnl`	Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2021	J	`jnl`	Finite-Time Convergence Rates of Nonlinear Two-Time-Scale Stochastic Approximation under Markovian Noise. CoRR Thinh T. Doan
2021	J	`jnl`	Finite-Time Performance of Distributed Temporal-Difference Learning with Linear Function Approximation. SIAM J. Math. Data Sci. Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2021	—	`conf`	Improved Convergence Rate for a Distributed Two-Time-Scale Gradient Method under Random Quantization. CDC Marcos M. Vasconcelos, Thinh T. Doan, Urbashi Mitra
2021	J	`jnl`	Improved Convergence Rate for a Distributed Two-Time-Scale Gradient Method under Random Quantization. CoRR Marcos M. Vasconcelos, Thinh T. Doan, Urbashi Mitra
2021	—	`conf`	Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance. L4DC Thinh T. Doan
2020	J	`jnl`	A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning. CoRR Sihan Zeng, Aqeel Anwar, Thinh T. Doan, Justin Romberg, Arijit Raychowdhury
2020	J	`jnl`	Byzantine Fault-Tolerance in Decentralized Optimization under Minimal Redundancy. CoRR Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
2020	J	`jnl`	Distributed two-time-scale methods over clustered networks. CoRR Van Thiem Pham, Thinh T. Doan, Dinh Hoa Nguyen
2020	J	`jnl`	Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2020	J	`jnl`	Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness. CoRR Thinh T. Doan, Lam M. Nguyen, Nhan H. Pham, Justin Romberg
2020	—	`conf`	Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation. L4DC Thinh T. Doan, Justin Romberg
2020	J	`jnl`	Local Stochastic Approximation: A Unified View of Federated Learning and Distributed Multi-Task Reinforcement Learning Algorithms. CoRR Thinh T. Doan
2020	J	`jnl`	Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance. CoRR Thinh T. Doan
2019	J	`jnl`	A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors. CoRR Pietro Pierpaoli, Thinh T. Doan, Justin Romberg, Magnus Egerstedt
2019	J	`jnl`	Convergence of the Iterates in Mirror Descent Methods. IEEE Control. Syst. Lett. Thinh T. Doan, Subhonmesh Bose, Dinh Hoa Nguyen, Carolyn L. Beck
2019	J	`jnl`	Finite-Time Analysis and Restarting Scheme for Linear Two-Time-Scale Stochastic Approximation. CoRR Thinh T. Doan
2019	A*	`conf`	Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning. ICML Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2019	J	`jnl`	Finite-Time Analysis of Q-Learning with Linear Function Approximation. CoRR Zaiwei Chen, Sheng Zhang, Thinh T. Doan, Siva Theja Maguluri, John-Paul Clarke
2019	J	`jnl`	Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation. CoRR Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2019	—	`conf`	Linear Two-Time-Scale Stochastic Approximation A Finite-Time Analysis. Allerton Thinh T. Doan, Justin Romberg
2018	C	`conf`	Aggregating Stochastic Gradients in Distributed Optimization. ACC Thinh T. Doan
2018	Misc	`conf`	Convergence Rate of Distributed Consensus with Nonuniform Delays. ACSSC Thinh T. Doan, Carolyn L. Beck, R. Srikant
2018	C	`conf`	Convergence Rate of Distributed Subgradient Methods under Communication Delays. ACC Thinh T. Doan, Carolyn L. Beck, R. Srikant
2018	—	`conf`	On the Convergence Rate of Distributed Gradient Methods for Finite-Sum Optimization under Communication Delays. SIGMETRICS (Abstracts) Thinh T. Doan, Carolyn L. Beck, R. Srikant
2018	—	`conf`	On the Convergence of Distributed Subgradient Methods under Quantization. Allerton Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2017	J	`jnl`	Distributed Lagrangian Method for Tie-Line Scheduling in Power Grids under Uncertainty. SIGMETRICS Perform. Evaluation Rev. Thinh T. Doan, Subhonmesh Bose, Carolyn L. Beck
2017	—	`conf`	Distributed Lagrangian methods for network resource allocation. CCTA Thinh T. Doan, Carolyn L. Beck
2017	J	`jnl`	Distributed resource allocation on dynamic networks in quadratic time. Syst. Control. Lett. Thinh T. Doan, Alex Olshevsky
2017	J	`jnl`	On the Convergence Rate of Distributed Gradient Methods for Finite-Sum Optimization under Communication Delays. Proc. ACM Meas. Anal. Comput. Syst. Thinh T. Doan, Carolyn L. Beck, R. Srikant