Author

Bin Hu

University of Illinois at Urbana-Champaign - Cited by 876 - Machine Learning - Optimization - Control Theory

Biography

Dr. Bin Hu is currently working as a Professor in the Ubiquitous Awareness and Intelligent Solutions Lab, Lanzhou University, Lanzhou, China. Dr. Bin Hu area of research interests include Psychiatry.
Title
Cited by
Year
Policy Optimization for Linear Control with Robustness Guarantee: Implicit Regularization and Global Convergence
K Zhang, B Hu, T BaşarSIAM Journal on Control and Optimization 59 (6), 4081-4109, 2021113202
113
2021
A robust accelerated optimization algorithm for strongly convex functions
S Cyrus, B Hu, B Van Scoy, L Lessard2018 Annual American Control Conference (ACC), 1376-1381, 2018201
74
2018
Characterizing the exact behaviors of temporal difference learning algorithms using Markov jump linear system theory
B Hu, U SyedAdvances in Neural Information Processing Systems, 8479-8490, 2019201
60
2019
Analysis of biased stochastic gradient descent using sequential semidefinite programs
B Hu, P Seiler, L LessardMathematical Programming 187, 383-408, 2020202
50
2020
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems
K Zhang, B Hu, T BasarAdvances in Neural Information Processing Systems 33, 22056-22068, 2020202
42
2020
Robust convergence analysis of distributed optimization algorithms
A Sundararajan, B Hu, L Lessard2017 55th Annual Allerton Conference on Communication, Control, and …, 2017201
39
2017
Control interpretations for first-order optimization methods
B Hu, L Lessard2017 American Control Conference (ACC), 3114-3119, 2017201
39
2017
Exponential decay rate conditions for uncertain linear systems using integral quadratic constraints
B Hu, P SeilerIEEE Transactions on Automatic Control 61 (11), 3631-3637, 2016201
38
2016
Convergence guarantees of policy optimization methods for markovian jump linear systems
JP Jansch-Porto, B Hu, GE Dullerud2020 American Control Conference (ACC), 2882-2887, 2020202
34
2020
A unified analysis of stochastic optimization methods using jump system theory and quadratic constraints
B Hu, P Seiler, A RantzerConference on Learning Theory (COLT), 1157-1189, 2017201
30
2017
Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs
B Hu, S Wright, L LessardInternational Conference on Machine Learning (ICML), 2038-2047, 2018201
25
2018
Robustness analysis of uncertain discrete‐time systems with dissipation inequalities and integral quadratic constraints
B Hu, MJ Lacerda, P SeilerInternational Journal of Robust and Nonlinear Control 27 (11), 1940-1962, 2017201
23
2017
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
K Zhang, X Zhang, B Hu, T BasarAdvances in Neural Information Processing Systems 34, 2949-2964, 2021202
19
2021
An Airborne Experimental Test Platform: Part 2
A LIE, H MOKHTARZADEH, P FREEMAN, J LARSON, T LAYH, BIN HU, ...https://www.insidegnss.com/auto/mayjune14-LIE-Part2.pdf, 40-47, 201417201
17
2014
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems
JP Jansch-Porto, B Hu, G DullerudLearning for Dynamics and Control, 947-957, 2020202
16
2020
Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies
B Hu, K Zhang, N Li, M Mesbahi, M Fazel, T BaşarAnnual Review of Control, Robotics, and Autonomous Systems 6, 123-158, 2023202
16
2023
Pivotal decomposition for reliability analysis of fault tolerant control systems on unmanned aerial vehicles
B Hu, P SeilerReliability Engineering & System Safety 140, 130-141, 202
15
2015
A probabilistic method for certification of analytically redundant systems
B Hu, P SeilerInternational Journal of Applied Mathematics and Computer Science 25 (1 …, 202
15
2015
Certification analysis for a model-based UAV fault detection system
B Hu, PJ SeilerAIAA Guidance, Navigation, and Control Conference, 0610, 201415201
15
2014
Analytical convergence regions of accelerated gradient descent in nonconvex optimization under Regularity Condition
H Xiong, Y Chi, B Hu, W ZhangAutomatica 113, 108715, 202013202
13
2020

Referred From: https://scholar.google.com/citations?user=o3tVp68AAAAJ&hl=en

Cited by
Citations 876
h-index 16
i10-index 22
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