Learning with Non-Convex Truncated Losses by SGD

21 May 2018

Papers citing "Learning with Non-Convex Truncated Losses by SGD"

8 / 8 papers shown

Title
On Uniform Boundedness Properties of SGD and its Momentum Variants Xiaoyu Wang M. Johansson 23 3 0 25 Jan 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption Lihu Xu Fang Yao Qiuran Yao Huiming Zhang 35 10 0 10 Jan 2022
$A generalized Catoni's ${\rm M}$-estimator under finite {$α$-th moment assumption} with $α\in (1,2)$$ A generalized Catoni's ${\rm M}$ -estimator under finite { $α$ -th moment assumption} with $α\in (1,2)$ Peng Chen Xinghu Jin Xiang Li Lihu Xu 18 24 0 10 Oct 2020
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence Yi Tian Xu Qi Qi Qihang Lin R. L. Jin Tianbao Yang 35 40 0 28 Nov 2018
Visually Communicating and Teaching Intuition for Influence Functions Aaron Fisher Edward H. Kennedy 11 51 0 08 Oct 2018
Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and Applications in Machine Learning Hassan Rafique Mingrui Liu Qihang Lin Tianbao Yang 15 107 0 04 Oct 2018
Learning without Concentration for General Loss Functions S. Mendelson 63 65 0 13 Oct 2014
Learning without Concentration S. Mendelson 85 334 0 01 Jan 2014