Gradient Descent Learns Linear Dynamical Systems

16 September 2016

Benjamin Recht

Papers citing "Gradient Descent Learns Linear Dynamical Systems"

49 / 49 papers shown

Title
Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Jiachen Qian Yang Zheng KELM 53 0 0 13 May 2025
Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles Amir Ali Farzin Yuen-Man Pun Iman Shames 31 0 0 04 May 2025
Expected Variational Inequalities B. Zhang Ioannis Anagnostides Emanuel Tewolde Ratip Emin Berker Gabriele Farina Vincent Conitzer T. Sandholm 232 0 0 25 Feb 2025
Tuning Frequency Bias of State Space Models Annan Yu Dongwei Lyu S. H. Lim Michael W. Mahoney N. Benjamin Erichson 47 3 0 02 Oct 2024
Learning Linear Dynamics from Bilinear Observations Yahya Sattar Yassir Jedra Sarah Dean 32 1 0 24 Sep 2024
Flash STU: Fast Spectral Transform Units Y. Isabel Liu Windsor Nguyen Yagiz Devre Evan Dogariu Anirudha Majumdar Elad Hazan AI4TS 72 1 0 16 Sep 2024
Structure learning of Hamiltonians from real-time evolution Ainesh Bakshi Allen Liu Ankur Moitra Ewin Tang 32 13 0 30 Apr 2024
StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization Shida Wang Qianxiao Li 22 13 0 24 Nov 2023
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences A. F. Pour H. Ashtiani 24 0 0 28 May 2023
Non-Asymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators Andrew G. Lamperski 38 6 0 21 Mar 2023
A Brief Survey on the Approximation Theory for Sequence Modelling Hao Jiang Qianxiao Li Zhong Li Shida Wang AI4TS 30 12 0 27 Feb 2023
Learning Nonlinear Couplings in Network of Agents from a Single Sample Trajectory Arash A. Amini Qiyu Sun N. Motee 31 0 0 20 Nov 2022
Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic Treatment Regime Anish Agarwal Vasilis Syrgkanis CML 28 3 0 20 Oct 2022
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients Hualin Zhang Huan Xiong Bin Gu 35 7 0 04 Oct 2022
Statistical Learning Theory for Control: A Finite Sample Perspective Anastasios Tsiamis Ingvar M. Ziemann Nikolai Matni George J. Pappas 28 73 0 12 Sep 2022
Finite Sample Identification of Bilinear Dynamical Systems Yahya Sattar Samet Oymak N. Ozay 32 13 0 29 Aug 2022
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms Lam M. Nguyen Trang H. Tran 32 2 0 13 Jun 2022
Sharper Utility Bounds for Differentially Private Models Yilin Kang Yong Liu Jian Li Weiping Wang FedML 35 3 0 22 Apr 2022
Escape saddle points by a simple gradient-descent based algorithm Chenyi Zhang Tongyang Li ODL 31 15 0 28 Nov 2021
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time Feng Zhu Andrew R. Sedler Harrison A. Grier Nauman Ahad Mark A. Davenport Matthew T. Kaufman Andrea Giovannucci C. Pandarinath 30 10 0 29 Oct 2021
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Shaojie Li Yong Liu 26 13 0 19 Jul 2021
Stochastic Polyak Stepsize with a Moving Target Robert Mansel Gower Aaron Defazio Michael G. Rabbat 32 17 0 22 Jun 2021
Metric Entropy Limits on Recurrent Neural Network Learning of Linear Dynamical Systems Clemens Hutter R. Gül Helmut Bölcskei 21 9 0 06 May 2021
Almost Surely Stable Deep Dynamics Nathan P. Lawrence Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni BDL 40 20 0 26 Mar 2021
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size Alain Durmus P. Jiménez Eric Moulines Salem Said 29 12 0 15 Feb 2021
Task-Optimal Exploration in Linear Dynamical Systems Andrew Wagenmaker Max Simchowitz Kevin G. Jamieson 22 18 0 10 Feb 2021
A Study of Condition Numbers for First-Order Optimization Charles Guille-Escuret Baptiste Goujaud M. Girotti Ioannis Mitliagkas 6 18 0 10 Dec 2020
Improved rates for prediction and identification of partially observed linear dynamical systems Holden Lee 21 10 0 19 Nov 2020
SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory Paria Rashidinejad Jiantao Jiao Stuart J. Russell 26 11 0 12 Oct 2020
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation Robert Mansel Gower Othmane Sebbouh Nicolas Loizou 25 74 0 18 Jun 2020
Active Learning for Nonlinear System Identification with Guarantees Horia Mania Michael I. Jordan Benjamin Recht 41 101 0 18 Jun 2020
Active Learning for Identification of Linear Dynamical Systems Andrew Wagenmaker Kevin G. Jamieson 27 46 0 02 Feb 2020
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator Yuwei Luo Zhuoran Yang Zhaoran Wang Mladen Kolar 26 9 0 14 Dec 2019
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games Zuyue Fu Zhuoran Yang Yongxin Chen Zhaoran Wang 21 54 0 16 Oct 2019
The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication Sebastian U. Stich Sai Praneeth Karimireddy FedML 25 20 0 11 Sep 2019
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost Zhuoran Yang Yongxin Chen Mingyi Hong Zhaoran Wang 32 39 0 14 Jul 2019
From self-tuning regulators to reinforcement learning and back again Nikolai Matni Alexandre Proutière Anders Rantzer Stephen Tu 27 88 0 27 Jun 2019
On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator Qi Cai Mingyi Hong Yongxin Chen Zhaoran Wang 27 34 0 11 Jan 2019
On the Convergence Rate of Training Recurrent Neural Networks Zeyuan Allen-Zhu Yuanzhi Li Zhao Song 32 191 0 29 Oct 2018
Continuous-time Models for Stochastic Optimization Algorithms Antonio Orvieto Aurelien Lucchi 19 31 0 05 Oct 2018
Non-asymptotic Identification of LTI Systems from a Single Trajectory Samet Oymak N. Ozay 19 221 0 14 Jun 2018
Gradient Descent for One-Hidden-Layer Neural Networks: Polynomial Convergence and SQ Lower Bounds Santosh Vempala John Wilmes MLT 19 50 0 07 May 2018
Model-Free Linear Quadratic Control via Reduction to Expert Prediction Yasin Abbasi-Yadkori N. Lazić Csaba Szepesvári OffRL 13 94 0 17 Apr 2018
Spectral Filtering for General Linear Dynamical Systems Elad Hazan Holden Lee Karan Singh Cyril Zhang Yi Zhang 45 97 0 12 Feb 2018
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data Alon Brutzkus Amir Globerson Eran Malach Shai Shalev-Shwartz MLT 50 276 0 27 Oct 2017
On the Sample Complexity of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 40 570 0 04 Oct 2017
Non-Asymptotic Analysis of Robust Control from Coarse-Grained Identification Stephen Tu Ross Boczar A. Packard Benjamin Recht 11 69 0 15 Jul 2017
Kronecker Recurrent Units C. Jose Moustapha Cissé F. Fleuret ODL 24 45 0 29 May 2017
Training Deep Networks without Learning Rates Through Coin Betting Francesco Orabona Tatiana Tommasi ODL 24 4 0 22 May 2017