Loss minimization and parameter estimation with heavy tails

7 July 2013

Papers citing "Loss minimization and parameter estimation with heavy tails"

31 / 31 papers shown

Title
Robust variance-regularized risk minimization with concomitant scaling Matthew J. Holland 28 1 0 27 Jan 2023
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery Junren Chen Michael Kwok-Po Ng Di Wang MQ 24 12 0 30 Dec 2022
On Medians of (Randomized) Pairwise Means Pierre Laforgue Stéphan Clémençon Patrice Bertail 16 12 0 01 Nov 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 30 32 0 18 Jul 2022
Robust Matrix Completion with Heavy-tailed Noise Bingyan Wang Jianqing Fan 21 3 0 09 Jun 2022
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails Pedro Abdalla Nikita Zhivotovskiy 30 25 0 17 May 2022
Byzantine-Robust Federated Linear Bandits Ali Jadbabaie Haochuan Li Jian Qian Yi Tian FedML 21 12 0 03 Apr 2022
Minimax risk classifiers with 0-1 loss Santiago Mazuelas Mauricio Romero Peter Grünwald 22 6 0 17 Jan 2022
Posterior concentration and fast convergence rates for generalized Bayesian learning L. Ho Binh T. Nguyen Vu C. Dinh D. M. Nguyen 23 5 0 19 Nov 2021
Do we need to estimate the variance in robust mean estimation? Qiang Sun OOD 24 7 0 30 Jun 2021
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data Di Wang Hanshen Xiao S. Devadas Jinhui Xu 13 55 0 21 Oct 2020
A spectral algorithm for robust regression with subgaussian rates Jules Depersin 19 14 0 12 Jul 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 38 15 0 01 Jun 2020
Robust subgaussian estimation with VC-dimension Jules Depersin 25 12 0 24 Apr 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 30 629 0 31 Dec 2019
Robust Inference via Multiplier Bootstrap Xi Chen Wen-Xin Zhou 24 31 0 18 Mar 2019
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting A. Krishnamurthy John Langford Aleksandrs Slivkins Chicheng Zhang OffRL 18 66 0 05 Feb 2019
Mean Estimation with Sub-Gaussian Rates in Polynomial Time Samuel B. Hopkins 13 79 0 19 Sep 2018
Solvable Integration Problems and Optimal Sample Size Selection R. Kunsch E. Novak Daniel Rudolf 9 15 0 22 May 2018
Robust Estimation via Robust Gradient Estimation Adarsh Prasad A. Suggala Sivaraman Balakrishnan Pradeep Ravikumar 30 220 0 19 Feb 2018
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible Kai Zheng Wenlong Mou Liwei Wang 34 41 0 11 Jun 2017
Convergence rates of least squares regression estimators with heavy-tailed errors Q. Han J. Wellner 15 44 0 07 Jun 2017
Sub-Gaussian estimators of the mean of a random vector Gábor Lugosi S. Mendelson 14 169 0 01 Feb 2017
On the estimation of the mean of a random vector Émilien Joly Gábor Lugosi R. Oliveira 14 39 0 19 Jul 2016
Sub-Gaussian estimators of the mean of a random matrix with heavy-tailed entries Stanislav Minsker 30 103 0 23 May 2016
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes Peter Grünwald Nishant A. Mehta 37 71 0 01 May 2016
On the Optimality of Averaging in Distributed Statistical Learning Jonathan D. Rosenblatt B. Nadler FedML 32 109 0 10 Jul 2014
Learning without Concentration S. Mendelson 85 334 0 01 Jan 2014
Geometric median and robust estimation in Banach spaces Stanislav Minsker 40 309 0 06 Aug 2013
Adaptive robust variable selection Jianqing Fan Yingying Fan Emre Barut 93 200 0 22 May 2012