linear dynamical system

Linear Dynamics: Clustering without identification AISTATS 2020 Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems NeurIPS 2020 Making Non-Stochastic Control (Almost) as Easy as Stochastic NeurIPS 2020 Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control NeurIPS 2020 Non-Stochastic Control with Bandit Feedback NeurIPS 2020 No-Regret Prediction in Marginally Stable Systems COLT 2020 Robust guarantees for learning an autoregressive filter ALT 2020 SLIP: Learning to predict in unknown dynamical systems with long-term memory NeurIPS 2020 Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models L4DC 2020 The Nonstochastic Control Problem ALT 2020 Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NeurIPS 2019 Gain estimation of linear dynamical systems using Thompson Sampling AISTATS 2019 Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights NeurIPS 2019 Learning Linear Dynamical Systems with Semi-Parametric Least Squares COLT 2019 Logarithmic Regret for Online Control NeurIPS 2019 Near optimal finite time identification of arbitrary linear dynamical systems ICML 2019 Online Control with Adversarial Disturbances ICML 2019 On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters AAAI 2019 Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis NeurIPS 2019 Robust exploration in linear quadratic reinforcement learning NeurIPS 2019 Gradient Descent Learns Linear Dynamical Systems JMLR 2018 Learning convex bounds for linear quadratic control policy synthesis NeurIPS 2018 Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification COLT 2018 Nonparametric Bayesian sparse graph linear dynamical systems AISTATS 2018 Spectral Filtering for General Linear Dynamical Systems NeurIPS 2018