Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption

10 January 2022

Papers citing "Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption"

7 / 7 papers shown

Title
On the Robustness of Kernel Ridge Regression Using the Cauchy Loss Function Hongwei Wen Annika Betken Wouter Koolen 62 0 0 26 Mar 2025
Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms Ao Xu Tieru Wu 33 1 0 31 May 2024
Robust deep learning from weakly dependent data William Kengne Modou Wade OOD 38 2 0 08 May 2024
Distribution Estimation of Contaminated Data via DNN-based MoM-GANs Fang Xie Lihu Xu Qiuran Yao Huiming Zhang 9 0 0 28 Dec 2022
Concentration inequalities of MLE and robust MLE Xiaowei Yang Xinqiao Liu Haoyu Wei 14 1 0 17 Oct 2022
Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition Guohao Shen Yuling Jiao Yuanyuan Lin J. Horowitz Jian Huang 88 22 0 10 Jul 2021
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks Guohao Shen Yuling Jiao Yuanyuan Lin Jian Huang 11 3 0 01 May 2021