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Bin Hu
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Año
Dissipativity Theory for Nesterov's Accelerated Method
B Hu, L Lessard
International Conference on Machine Learning (ICML), 1549-1557, 2017
1062017
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
95*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
682018
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
542019
Analysis of biased stochastic gradient descent using sequential semidefinite programs
B Hu, P Seiler, L Lessard
Mathematical Programming 187, 383-408, 2020
392020
Control interpretations for first-order optimization methods
B Hu, L Lessard
2017 American Control Conference (ACC), 3114-3119, 2017
372017
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
342016
Robust convergence analysis of distributed optimization algorithms
A Sundararajan, B Hu, L Lessard
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
332017
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
312020
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, 22056-22068, 2020
302020
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
262017
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
232018
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
212017
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
16*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
152015
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
132015
Certification analysis for a model-based UAV fault detection system
B Hu, PJ Seiler
AIAA Guidance, Navigation, and Control Conference, 0610, 2014
132014
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
12*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, 2949-2964, 2021
112021
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 Dullerud
Learning for Dynamics and Control, 947-957, 2020
112020
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Artículos 1–20