Learning Linear Dynamical Systems with Semi-Parametric Least Squares

Learning Linear Dynamical Systems with Semi-Parametric Least Squares

2 February 2019

Max Simchowitz

Benjamin Recht

Papers citing "Learning Linear Dynamical Systems with Semi-Parametric Least Squares"

17 / 17 papers shown

Title
Learning Dynamical Systems by Leveraging Data from Similar Systems Lei Xin Lintao Ye G. Chiu S. Sundaram 53 10 0 20 Jan 2025
Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints Dániel Rácz Mihaly Petreczky Bálint Daróczy 67 1 0 30 May 2024
Structure learning of Hamiltonians from real-time evolution Ainesh Bakshi Allen Liu Ankur Moitra Ewin Tang 47 13 0 30 Apr 2024
Stochastic Gradient Descent Learns State Equations with Nonlinear Activations Samet Oymak 32 43 0 09 Sep 2018
Non-asymptotic Identification of LTI Systems from a Single Trajectory Samet Oymak N. Ozay 47 222 0 14 Jun 2018
Semiparametric Contextual Bandits A. Krishnamurthy Zhiwei Steven Wu Vasilis Syrgkanis 105 44 0 12 Mar 2018
Variance Reduction Methods for Sublinear Reinforcement Learning Sham Kakade Mengdi Wang Lin F. Yang 34 32 0 26 Feb 2018
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification Max Simchowitz Horia Mania Stephen Tu Michael I. Jordan Benjamin Recht 41 338 0 22 Feb 2018
Spectral Filtering for General Linear Dynamical Systems Elad Hazan Holden Lee Karan Singh Cyril Zhang Yi Zhang 87 98 0 12 Feb 2018
Learning Linear Dynamical Systems via Spectral Filtering Elad Hazan Karan Singh Cyril Zhang 42 100 0 02 Nov 2017
Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes Aaron Sidford Mengdi Wang X. Wu Yinyu Ye 33 125 0 27 Oct 2017
Finite Time Identification in Unstable Linear Systems Mohamad Kazem Shirani Faradonbeh Ambuj Tewari George Michailidis 35 146 0 05 Oct 2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models George Tucker A. Mnih Chris J. Maddison John Lawson Jascha Narain Sohl-Dickstein BDL 165 282 0 21 Mar 2017
Double/Debiased/Neyman Machine Learning of Treatment Effects Victor Chernozhukov Denis Chetverikov Mert Demirer E. Duflo Christian B. Hansen Whitney Newey CML FedML 82 348 0 30 Jan 2017
Gradient Descent Learns Linear Dynamical Systems Moritz Hardt Tengyu Ma Benjamin Recht 87 239 0 16 Sep 2016
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning Lex Weaver Nigel Tao 85 246 0 10 Jan 2013
Online Least Squares Estimation with Self-Normalized Processes: An Application to Bandit Problems Yasin Abbasi-Yadkori D. Pál Csaba Szepesvári 55 70 0 14 Feb 2011