The Implicit Regularization of Stochastic Gradient Flow for Least Squares

17 March 2020

Papers citing "The Implicit Regularization of Stochastic Gradient Flow for Least Squares"

17 / 17 papers shown

Title
Comparing regularisation paths of (conjugate) gradient estimators in ridge regression Laura Hucker Markus Reiß Thomas Stark 33 1 0 07 Mar 2025
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression Bhavya Agrawalla Krishnakumar Balasubramanian Promit Ghosal 23 2 0 20 Feb 2023
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis Taiki Miyagawa 35 9 0 28 Oct 2022
Label noise (stochastic) gradient descent implicitly solves the Lasso for quadratic parametrisation Loucas Pillaud-Vivien J. Reygner Nicolas Flammarion NoLa 33 31 0 20 Jun 2022
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent Yiping Lu Jose H. Blanchet Lexing Ying 32 7 0 15 May 2022
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models Yiling Luo X. Huo Y. Mei 11 0 0 29 Apr 2022
On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes Elvis Dohmatob A. Bietti AAML 21 13 0 22 Mar 2022
A Note on Machine Learning Approach for Computational Imaging Bin Dong 17 0 0 24 Feb 2022
A Continuous-time Stochastic Gradient Descent Method for Continuous Data Kexin Jin J. Latz Chenguang Liu Carola-Bibiane Schönlieb 18 9 0 07 Dec 2021
Multi-scale Feature Learning Dynamics: Insights for Double Descent Mohammad Pezeshki Amartya Mitra Yoshua Bengio Guillaume Lajoie 58 25 0 06 Dec 2021
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow Haiyan Jiang Haoyi Xiong Dongrui Wu Ji Liu Dejing Dou 13 1 0 07 Oct 2021
Interpolation can hurt robust generalization even when there is no noise Konstantin Donhauser Alexandru cTifrea Michael Aerni Reinhard Heckel Fanny Yang 31 14 0 05 Aug 2021
The Limiting Dynamics of SGD: Modified Loss, Phase Space Oscillations, and Anomalous Diffusion D. Kunin Javier Sagastuy-Breña Lauren Gillespie Eshed Margalit Hidenori Tanaka Surya Ganguli Daniel L. K. Yamins 31 15 0 19 Jul 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization Saurabh Garg Sivaraman Balakrishnan J. Zico Kolter Zachary Chase Lipton 28 29 0 01 May 2021
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings Kan Xu Xuanyi Zhao Hamsa Bastani Osbert Bastani 25 6 0 18 Apr 2021
Implicit Regularization in Deep Learning May Not Be Explainable by Norms Noam Razin Nadav Cohen 16 155 0 13 May 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 133 1,198 0 16 Aug 2016