ReLU Regression with Massart Noise

10 September 2021

Papers citing "ReLU Regression with Massart Noise"

9 / 9 papers shown

Title
Reweighting Improves Conditional Risk Bounds Yikai Zhang Jiahe Lin Fengpei Li Songzhu Zheng Anant Raj Anderson Schneider Yuriy Nevmyvaka 31 0 0 04 Jan 2025
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise Shuyao Li Sushrut Karmalkar Ilias Diakonikolas Jelena Diakonikolas OOD 47 0 0 11 Nov 2024
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions Ilias Diakonikolas Sushrut Karmalkar Jongho Park Christos Tzamos 20 1 0 20 Sep 2023
Efficiently Learning One-Hidden-Layer ReLU Networks via Schur Polynomials Ilias Diakonikolas D. Kane 29 4 0 24 Jul 2023
A Strongly Polynomial Algorithm for Approximate Forster Transforms and its Application to Halfspace Learning Ilias Diakonikolas Christos Tzamos D. Kane 16 12 0 06 Dec 2022
SQ Lower Bounds for Learning Single Neurons with Massart Noise Ilias Diakonikolas D. Kane Lisheng Ren Yuxin Sun 17 6 0 18 Oct 2022
Semi-Random Sparse Recovery in Nearly-Linear Time Jonathan A. Kelner Jungshian Li Allen Liu Aaron Sidford Kevin Tian 20 14 0 08 Mar 2022
Forster Decomposition and Learning Halfspaces with Noise Ilias Diakonikolas D. Kane Christos Tzamos 81 18 0 12 Jul 2021
Max-Linear Regression by Convex Programming Seonho Kim S. Bahmani Kiryung Lee 14 2 0 12 Mar 2021