linear dynamical system

Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: √T-Regret L4DC 2026 Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems L4DC 2025 Provable Length Generalization in Sequence Prediction via Spectral Filtering ICML 2025 State space models, emergence, and ergodicity: How many parameters are needed for stable predictions? L4DC 2025 Can a transformer represent a Kalman filter? L4DC 2024 Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics JMLR 2024 Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs AISTATS 2024 Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions ICML 2024 Online Control in Population Dynamics NeurIPS 2024 Performative Control for Linear Dynamical Systems NeurIPS 2024 Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics NeurIPS 2024 Sparse Graphical Linear Dynamical Systems JMLR 2024 Wasserstein distributionally robust regret-optimal control over infinite-horizon L4DC 2024 Accelerated Stochastic Optimization Methods under Quasar-convexity ICML 2023 Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems L4DC 2023 Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret L4DC 2023 Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors NeurIPS 2023 Multi-Task Imitation Learning for Linear Dynamical Systems L4DC 2023 Online Reinforcement Learning in Stochastic Continuous-Time Systems COLT 2023 Physics-enhanced Gaussian Process Variational Autoencoder L4DC 2023 Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems ICML 2023 Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory AISTATS 2022 An Algorithm for Learning Switched Linear Dynamics from Data NeurIPS 2022 Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations CLeaR 2022 Data-Enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions L4DC 2022