Learning Rates for Nonconvex Pairwise Learning

9 November 2021

Papers citing "Learning Rates for Nonconvex Pairwise Learning"

13 / 13 papers shown

Title
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning Zhenhuan Yang Yunwen Lei Puyu Wang Tianbao Yang Yiming Ying 65 26 0 23 Nov 2021
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Shaojie Li Yong Liu 97 13 0 19 Jul 2021
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$ Yegor Klochkov Nikita Zhivotovskiy 77 62 0 22 Mar 2021
Orthogonal Deep Neural Networks Kui Jia Shuai Li Yuxin Wen Tongliang Liu Dacheng Tao 83 134 0 15 May 2019
Tight Analyses for Non-Smooth Stochastic Gradient Descent Nicholas J. A. Harvey Christopher Liaw Y. Plan Sikander Randhawa 79 138 0 13 Dec 2018
Identity Matters in Deep Learning Moritz Hardt Tengyu Ma OOD 99 399 0 14 Nov 2016
Gradient Descent Learns Linear Dynamical Systems Moritz Hardt Tengyu Ma Benjamin Recht 117 240 0 16 Sep 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 280 1,222 0 16 Aug 2016
A Geometric Analysis of Phase Retrieval Ju Sun Qing Qu John N. Wright 140 526 0 22 Feb 2016
Sample complexity of learning Mahalanobis distance metrics Nakul Verma K. Branson 57 33 0 11 May 2015
Statistical guarantees for the EM algorithm: From population to sample-based analysis Sivaraman Balakrishnan Martin J. Wainwright Bin Yu 323 482 0 09 Aug 2014
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) Francis R. Bach Eric Moulines 110 405 0 10 Jun 2013
Generalization Bounds for Metric and Similarity Learning Qiong Cao Zheng-Chu Guo Yiming Ying 104 122 0 23 Jul 2012