linear dynamical system

Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics COLT 2022 Globally Convergent Policy Search for Output Estimation NeurIPS 2022 Improved rates for prediction and identification of partially observed linear dynamical systems ALT 2022 Learning Mixtures of Linear Dynamical Systems ICML 2022 Online Estimation and Control with Optimal Pathlength Regret L4DC 2022 Phase transitions in when feedback is useful NeurIPS 2022 Rate-Optimal Online Convex Optimization in Adaptive Linear Control NeurIPS 2022 Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022 Time Varying Regression with Hidden Linear Dynamics L4DC 2022 Black-Box Control for Linear Dynamical Systems COLT 2021 Fairness in Forecasting and Learning Linear Dynamical Systems AAAI 2021 Graph Gamma Process Linear Dynamical Systems AISTATS 2021 Learning from Censored and Dependent Data: The case of Linear Dynamics COLT 2021 Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples L4DC 2021 Rebounding Bandits for Modeling Satiation Effects NeurIPS 2021 Regret-optimal measurement-feedback control L4DC 2021 Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems NeurIPS 2021 Suboptimal coverings for continuous spaces of control tasks L4DC 2021 Task-Optimal Exploration in Linear Dynamical Systems ICML 2021 When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI 2021 Active Learning for Identification of Linear Dynamical Systems COLT 2020 Bandit Linear Control NeurIPS 2020 Geometric Exploration for Online Control NeurIPS 2020 Improper Learning for Non-Stochastic Control COLT 2020 Linear Dynamical Systems as a Core Computational Primitive NeurIPS 2020