Hoang Huy Nguyen

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All published works

Action	Title	Year	Authors
+	Stochastic Approximation for Nonlinear Discrete Stochastic Control: Finite-Sample Bounds for Exponentially Stable Systems	2023	Hoang Huy Nguyen Siva Theja Maguluri
+	Stochastic Approximation for Nonlinear Discrete Stochastic Control: Finite-Sample Bounds	2023	Hoang Huy Nguyen Siva Theja Maguluri
+	On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error	2022	Quang Minh Nhi Nguyen Hoang Huy Nguyen Yi Zhou Lam M. Nguyen

Common Coauthors

Coauthor	Papers Together
Siva Theja Maguluri	2
Lam M. Nguyen	1
Yi Zhou	1
Quang Minh Nhi Nguyen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Optimization and Nonsmooth Analysis	1990	Frank H. Clarke	1
+ PDF Chat	Proximité et dualité dans un espace hilbertien	1965	Jean Jacques Moreau	1
+	Smoothing and First Order Methods: A Unified Framework	2012	Amir Beck Marc Teboulle	1
+	First-Order Methods in Optimization	2017	Amir Beck	1
+	Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes	2020	Zaiwei Chen Siva Theja Maguluri Sanjay Shakkottai Karthikeyan Shanmugam	1
+	An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias	2020	Lu Yu Krishnakumar Balasubramanian Stanislav Volgushev Murat A. Erdogdu	1
+	Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions	2020	Jason J. Choi Fernando Castañeda Claire J. Tomlin Koushil Sreenath	1
+ PDF Chat	Decentralized Safe Reinforcement Learning for Voltage Control	2022	Wenqi Cui Jiayi Li Baosen Zhang	1
+	Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling	2022	Sajad Khodadadian Pranay Sharma Gauri Joshi Siva Theja Maguluri	1
+	Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning	2022	Tyler Westenbroek Fernando Castañeda Ayush Agrawal S. Shankar Sastry Koushil Sreenath	1
+ PDF Chat	Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning	2022	Zaiwei Chen Sheng Zhang Thinh T. Doan John-Paul Clarke Siva Theja Maguluri	1
+	Analysis of nonsmooth stochastic approximation: the differential inclusion approach	2018	Szymon Majewski Błażej Miasojedow Éric Moulines	1
+ PDF Chat	On Stochastic Stabilization via Nonsmooth Control Lyapunov Functions	2022	Pavel Osinenko Grigory Yaremenko Georgiy Malaniya	1
+	Stochastic Approximation for Nonlinear Discrete Stochastic Control: Finite-Sample Bounds	2023	Hoang Huy Nguyen Siva Theja Maguluri	1