Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate

13 June 2018

Papers citing "Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate"

9 / 59 papers shown

Title
Benign Overfitting in Linear Regression Peter L. Bartlett Philip M. Long Gábor Lugosi Alexander Tsigler MLT 8 763 0 26 Jun 2019
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian Samet Oymak Zalan Fabian Mingchen Li Mahdi Soltanolkotabi MLT 21 88 0 12 Jun 2019
Does Learning Require Memorization? A Short Tale about a Long Tail Vitaly Feldman TDI 61 482 0 12 Jun 2019
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks Mingchen Li Mahdi Soltanolkotabi Samet Oymak NoLa 47 351 0 27 Mar 2019
Reconciling modern machine learning practice and the bias-variance trade-off M. Belkin Daniel J. Hsu Siyuan Ma Soumik Mandal 60 1,610 0 28 Dec 2018
Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity Hilal Asi John C. Duchi 21 123 0 12 Oct 2018
Statistical Optimality of Interpolated Nearest Neighbor Algorithms Yue Xing Qifan Song Guang Cheng 8 9 0 05 Oct 2018
Does data interpolation contradict statistical optimality? M. Belkin Alexander Rakhlin Alexandre B. Tsybakov 31 218 0 25 Jun 2018
Optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization D. Kobak Jonathan Lomond Benoit Sanchez 33 89 0 28 May 2018