Benign Overfitting without Linearity: Neural Network Classifiers Trained
by Gradient Descent for Noisy Linear Data

Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data

11 February 2022

Niladri S. Chatterji

Peter L. Bartlett

Papers citing "Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data"

18 / 18 papers shown

Title
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality Marko Medvedev Gal Vardi Nathan Srebro 56 3 0 05 Sep 2024
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression Tomoya Wakayama BDL 57 0 0 06 Apr 2024
Implicit Bias and Fast Convergence Rates for Self-attention Bhavya Vasudeva Puneesh Deora Christos Thrampoulidis 24 13 0 08 Feb 2024
Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes Hyunouk Ko Xiaoming Huo 25 1 0 08 Jan 2024
Analysis of the expected $L_2$ error of an over-parametrized deep neural network estimate learned by gradient descent without regularization Selina Drews Michael Kohler 25 2 0 24 Nov 2023
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data Zhiwei Xu Yutong Wang Spencer Frei Gal Vardi Wei Hu MLT 28 23 0 04 Oct 2023
From Tempered to Benign Overfitting in ReLU Neural Networks Guy Kornowski Gilad Yehudai Ohad Shamir 20 12 0 24 May 2023
On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains Yicheng Li Zixiong Yu Y. Cotronis Qian Lin 55 13 0 04 May 2023
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions Kuo-Wei Lai Vidya Muthukumar 18 5 0 13 Mar 2023
The Curious Case of Benign Memorization Sotiris Anagnostidis Gregor Bachmann Lorenzo Noci Thomas Hofmann AAML 41 8 0 25 Oct 2022
Deep Linear Networks can Benignly Overfit when Shallow Ones Do Niladri S. Chatterji Philip M. Long 15 8 0 19 Sep 2022
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting Neil Rohit Mallinar James B. Simon Amirhesam Abedsoltan Parthe Pandit M. Belkin Preetum Nakkiran 24 37 0 14 Jul 2022
Random Feature Amplification: Feature Learning and Generalization in Neural Networks Spencer Frei Niladri S. Chatterji Peter L. Bartlett MLT 30 29 0 15 Feb 2022
Benign Overfitting in Adversarially Robust Linear Classification Jinghui Chen Yuan Cao Quanquan Gu AAML SILM 28 10 0 31 Dec 2021
Tight bounds for minimum l1-norm interpolation of noisy data Guillaume Wang Konstantin Donhauser Fanny Yang 79 20 0 10 Nov 2021
Foolish Crowds Support Benign Overfitting Niladri S. Chatterji Philip M. Long 83 20 0 06 Oct 2021
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization Difan Zou Yuan Cao Yuanzhi Li Quanquan Gu MLT AI4CE 41 37 0 25 Aug 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise Spencer Frei Yuan Cao Quanquan Gu FedML MLT 60 18 0 04 Jan 2021