control theory

Training deep residual networks for uniform approximation guarantees L4DC 2021 Universal approximation power of deep residual neural networks via nonlinear control theory ICLR 2021 Bandit Linear Control NeurIPS 2020 Eyes-Closed Safety Kernels: Safety of Autonomous Systems Under Loss of Observability RSS 2020 Predictive Coding for Locally-Linear Control ICML 2020 Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory CVPR 2020 The Nonstochastic Control Problem ALT 2020 Understanding and Stabilizing GANs’ Training Dynamics Using Control Theory ICML 2020 Control Regularization for Reduced Variance Reinforcement Learning ICML 2019 Learning Stable Deep Dynamics Models NeurIPS 2019 Policy Poisoning in Batch Reinforcement Learning and Control NeurIPS 2019 Action-Constrained Markov Decision Processes With Kullback-Leibler Cost COLT 2018 Optimal Neural Codes for Control and Estimation NeurIPS 2014