Gradient Descent Learns Linear Dynamical Systems

Gradient Descent Learns Linear Dynamical Systems

16 September 2016

Benjamin Recht

Papers citing "Gradient Descent Learns Linear Dynamical Systems"

8 / 8 papers shown

Title
Flash STU: Fast Spectral Transform Units Y. Isabel Liu Windsor Nguyen Yagiz Devre Evan Dogariu Anirudha Majumdar Elad Hazan AI4TS 97 1 0 16 Sep 2024
Structure learning of Hamiltonians from real-time evolution Ainesh Bakshi Allen Liu Ankur Moitra Ewin Tang 47 13 0 30 Apr 2024
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation Robert Mansel Gower Othmane Sebbouh Nicolas Loizou 81 75 0 18 Jun 2020
Gradient Descent Converges to Minimizers Jason D. Lee Max Simchowitz Michael I. Jordan Benjamin Recht 61 211 0 16 Feb 2016
Beyond Convexity: Stochastic Quasi-Convex Optimization Elad Hazan Kfir Y. Levy Shai Shalev-Shwartz 60 176 0 08 Jul 2015
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 132 1,058 0 06 Mar 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 385 20,528 0 10 Sep 2014
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 182 5,334 0 21 Nov 2012