Stochastic Gradient Descent Learns State Equations with Nonlinear Activations

9 September 2018

Papers citing "Stochastic Gradient Descent Learns State Equations with Nonlinear Activations"

11 / 11 papers shown

Title
Learning Linear Dynamics from Bilinear Observations Yahya Sattar Yassir Jedra Sarah Dean 29 1 0 24 Sep 2024
Non-asymptotic System Identification for Linear Systems with Nonlinear Policies Yingying Li Tianpeng Zhang Subhro Das J. Shamma Na Li 26 7 0 17 Jun 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems Andrew Wagenmaker Guanya Shi Kevin G. Jamieson 36 14 0 15 Jun 2023
Finite Sample Identification of Bilinear Dynamical Systems Yahya Sattar Samet Oymak N. Ozay 26 13 0 29 Aug 2022
Transportation-Inequalities, Lyapunov Stability and Sampling for Dynamical Systems on Continuous State Space Muhammad Naeem Miroslav Pajic 22 3 0 25 May 2022
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
The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation Q. Du Yiqi Gu Haizhao Yang Chao Zhou 26 20 0 21 Mar 2021
Active Learning for Nonlinear System Identification with Guarantees Horia Mania Michael I. Jordan Benjamin Recht 41 101 0 18 Jun 2020
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators Reinhard Heckel Mahdi Soltanolkotabi DiffM 35 81 0 31 Oct 2019
Subgradient Descent Learns Orthogonal Dictionaries Yu Bai Qijia Jiang Ju Sun 20 51 0 25 Oct 2018
Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization G. Wang G. Giannakis Jie Chen MLT 24 131 0 14 Aug 2018