Excess risk bounds in robust empirical risk minimization

16 October 2019

Papers citing "Excess risk bounds in robust empirical risk minimization"

14 / 14 papers shown

Title
Empirical Risk Minimization for Losses without Variance Guanhua Fang P. Li G. Samorodnitsky 53 1 0 07 Sep 2023
On Catoni's M-Estimation Pengtao Li Hanchao Wang 42 0 0 15 Oct 2022
Predicting Fine-Tuning Performance with Probing Zining Zhu Soroosh Shahtalebi Frank Rudzicz 60 10 0 13 Oct 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption Lihu Xu Fang Yao Qiuran Yao Huiming Zhang 69 11 0 10 Jan 2022
Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification Saptarshi Chakraborty Debolina Paul Swagatam Das OOD 63 0 0 06 Jan 2022
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering Debolina Paul Saptarshi Chakraborty Swagatam Das Jason Xu 50 16 0 27 Oct 2021
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data Abhishek Roy Krishnakumar Balasubramanian Murat A. Erdogdu 97 18 0 06 Sep 2021
Convergence Rates for Learning Linear Operators from Noisy Data Maarten V. de Hoop Nikola B. Kovachki Nicholas H. Nelsen Andrew M. Stuart 171 58 0 27 Aug 2021
Concentration study of M-estimators using the influence function Timothée Mathieu 69 8 0 09 Apr 2021
Distribution-Free Robust Linear Regression Jaouad Mourtada Tomas Vaskevicius Nikita Zhivotovskiy OOD 74 24 0 25 Feb 2021
Robust Principal Component Analysis: A Median of Means Approach Debolina Paul Saptarshi Chakraborty Swagatam Das 54 9 0 05 Feb 2021
Multivariate mean estimation with direction-dependent accuracy Gabor Lugosi S. Mendelson 62 12 0 22 Oct 2020
Asymptotic normality of robust risk minimizers Stanislav Minsker 41 4 0 05 Apr 2020
Robust $k$ -means Clustering for Distributions with Two Moments Yegor Klochkov Alexey Kroshnin Nikita Zhivotovskiy 57 20 0 06 Feb 2020