Bin Hu
Title
Cited by
Cited by
Year
Dissipativity Theory for Nesterov's Accelerated Method
B Hu, L Lessard
International Conference on Machine Learning (ICML), 1549-1557, 2017
882017
Policy Optimization for Linear Control with Robustness Guarantee: Implicit Regularization and Global Convergence
K Zhang, B Hu, T Başar
SIAM Journal on Control and Optimization 59 (6), 4081-4109, 2021
52*2021
A robust accelerated optimization algorithm for strongly convex functions
S Cyrus, B Hu, B Van Scoy, L Lessard
2018 Annual American Control Conference (ACC), 1376-1381, 2018
482018
Characterizing the exact behaviors of temporal difference learning algorithms using Markov jump linear system theory
B Hu, U Syed
Advances in Neural Information Processing Systems, 8479-8490, 2019
352019
Exponential decay rate conditions for uncertain linear systems using integral quadratic constraints
B Hu, P Seiler
IEEE Transactions on Automatic Control 61 (11), 3631-3637, 2016
312016
Robust convergence analysis of distributed optimization algorithms
A Sundararajan, B Hu, L Lessard
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
292017
Control interpretations for first-order optimization methods
B Hu, L Lessard
2017 American Control Conference (ACC), 3114-3119, 2017
292017
Analysis of biased stochastic gradient descent using sequential semidefinite programs
B Hu, P Seiler, L Lessard
Mathematical Programming, 1-26, 2020
222020
Robustness analysis of uncertain discrete‐time systems with dissipation inequalities and integral quadratic constraints
B Hu, MJ Lacerda, P Seiler
International Journal of Robust and Nonlinear Control 27 (11), 1940-1962, 2017
202017
Convergence guarantees of policy optimization methods for markovian jump linear systems
JP Jansch-Porto, B Hu, GE Dullerud
2020 American Control Conference (ACC), 2882-2887, 2020
192020
A unified analysis of stochastic optimization methods using jump system theory and quadratic constraints
B Hu, P Seiler, A Rantzer
Conference on Learning Theory (COLT), 1157-1189, 2017
192017
Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs
B Hu, S Wright, L Lessard
International Conference on Machine Learning (ICML), 2038-2047, 2018
162018
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, 2014
15*2014
A probabilistic method for certification of analytically redundant systems
B Hu, P Seiler
International Journal of Applied Mathematics and Computer Science 25 (1 …, 2015
142015
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems
K Zhang, B Hu, T Basar
Advances in Neural Information Processing Systems 33, 2020
122020
Pivotal decomposition for reliability analysis of fault tolerant control systems on unmanned aerial vehicles
B Hu, P Seiler
Reliability Engineering & System Safety 140, 130-141, 2015
112015
Certification analysis for a model-based UAV fault detection system
B Hu, PJ Seiler
AIAA Guidance, Navigation, and Control Conference, 0610, 2014
112014
Analytical convergence regions of accelerated gradient descent in nonconvex optimization under Regularity Condition
H Xiong, Y Chi, B Hu, W Zhang
Automatica 113, 108715, 2020
9*2020
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
K Zhang, X Zhang, B Hu, T Basar
Advances in Neural Information Processing Systems 34, 2021
7*2021
An exponentially convergent primal-dual algorithm for nonsmooth composite minimization
D Ding, B Hu, NK Dhingra, MR Jovanović
2018 IEEE Conference on Decision and Control (CDC), 4927-4932, 2018
52018
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Articles 1–20