Robust descent using smoothed multiplicative noise

15 October 2018

Papers citing "Robust descent using smoothed multiplicative noise"

15 / 15 papers shown

Title
Robust classification via MOM minimization Guillaume Lecué M. Lerasle Timlothée Mathieu 104 50 0 09 Aug 2018
Robust Estimation via Robust Gradient Estimation Adarsh Prasad A. Suggala Sivaraman Balakrishnan Pradeep Ravikumar 84 222 0 19 Feb 2018
Dimension-free PAC-Bayesian bounds for matrices, vectors, and linear least squares regression O. Catoni Ilaria Giulini 47 66 0 07 Dec 2017
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent Yudong Chen Lili Su Jiaming Xu FedML 74 244 0 16 May 2017
Sub-Gaussian estimators of the mean of a random vector Gábor Lugosi S. Mendelson 157 173 0 01 Feb 2017
Regularization, sparse recovery, and median-of-means tournaments Gábor Lugosi S. Mendelson 81 47 0 15 Jan 2017
Learning from MOM's principles: Le Cam's approach Lecué Guillaume Lerasle Matthieu 95 52 0 08 Jan 2017
Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back Vitaly Feldman 58 69 0 15 Aug 2016
Risk minimization by median-of-means tournaments Gabor Lugosi S. Mendelson 131 132 0 02 Aug 2016
Alternative asymptotics for cointegration tests in large VARs Junhong Lin Lorenzo Rosasco 72 44 0 28 May 2016
A Scale Mixture Perspective of Multiplicative Noise in Neural Networks Eric T. Nalisnick Anima Anandkumar Padhraic Smyth 131 19 0 10 Jun 2015
Optimal Learners for Multiclass Problems Amit Daniely Shai Shalev-Shwartz 68 86 0 10 May 2014
Geometric median and robust estimation in Banach spaces Stanislav Minsker 196 312 0 06 Aug 2013
Loss minimization and parameter estimation with heavy tails Daniel J. Hsu Sivan Sabato 189 188 0 07 Jul 2013
Challenging the empirical mean and empirical variance: a deviation study O. Catoni 189 466 0 10 Sep 2010