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Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression

12 February 2022

Papers citing "Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression"

21 / 21 papers shown

Title
On Emergence of Clean-Priority Learning in Early Stopped Neural Networks Chaoyue Liu Amirhesam Abedsoltan M. Belkin NoLa 61 5 0 05 Jun 2023
Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions Mojtaba Sahraee-Ardakan M. Emami Parthe Pandit S. Rangan A. Fletcher 83 9 0 20 Jan 2022
Implicit Sparse Regularization: The Impact of Depth and Early Stopping Jiangyuan Li Thanh V. Nguyen Chinmay Hegde R. K. Wong 70 30 0 12 Aug 2021
Understanding and Improving Early Stopping for Learning with Noisy Labels Ying-Long Bai Erkun Yang Bo Han Yanhua Yang Jiatong Li Yinian Mao Gang Niu Tongliang Liu NoLa 66 221 0 30 Jun 2021
Early-stopped neural networks are consistent Ziwei Ji Justin D. Li Matus Telgarsky 67 37 0 10 Jun 2021
Information Complexity and Generalization Bounds P. Banerjee Guido Montúfar 52 14 0 04 May 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 495 147 0 13 Jan 2021
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 69 363 0 13 Jun 2020
On Uniform Convergence and Low-Norm Interpolation Learning Lijia Zhou Danica J. Sutherland Nathan Srebro 62 29 0 10 Jun 2020
The Statistical Complexity of Early-Stopped Mirror Descent Tomas Vaskevicius Varun Kanade Patrick Rebeschini 58 23 0 01 Feb 2020
In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors Jeffrey Negrea Gintare Karolina Dziugaite Daniel M. Roy AI4CE 64 65 0 09 Dec 2019
Fantastic Generalization Measures and Where to Find Them Yiding Jiang Behnam Neyshabur H. Mobahi Dilip Krishnan Samy Bengio AI4CE 145 611 0 04 Dec 2019
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks Kaifeng Lyu Jian Li 98 336 0 13 Jun 2019
A Continuous-Time View of Early Stopping for Least Squares Alnur Ali J. Zico Kolter Robert Tibshirani 67 97 0 23 Oct 2018
Stronger generalization bounds for deep nets via a compression approach Sanjeev Arora Rong Ge Behnam Neyshabur Yi Zhang MLT AI4CE 89 643 0 14 Feb 2018
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks Behnam Neyshabur Srinadh Bhojanapalli Nathan Srebro 88 610 0 29 Jul 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 212 1,225 0 26 Jun 2017
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky 183 448 0 22 May 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 117 820 0 31 Mar 2017
A PAC-Bayesian Tutorial with A Dropout Bound David A. McAllester 83 140 0 08 Jul 2013
Online Learning as Stochastic Approximation of Regularization Paths P. Tarres Yuan Yao 81 94 0 29 Mar 2011