Understanding Implicit Regularization in Over-Parameterized Single Index Model

16 July 2020

Papers citing "Understanding Implicit Regularization in Over-Parameterized Single Index Model"

7 / 7 papers shown

Title
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 9 83 0 18 Oct 2022
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay Yuetian Luo Anru R. Zhang 8 19 0 17 Jun 2022
COMBSS: Best Subset Selection via Continuous Optimization S. Moka Benoit Liquet Hou-Ying Zhu Samuel Muller 11 5 0 05 May 2022
Are Latent Factor Regression and Sparse Regression Adequate? Jianqing Fan Zhipeng Lou Mengxin Yu CML 25 21 0 02 Mar 2022
Natural Language Processing Advancements By Deep Learning: A Survey A. Torfi Rouzbeh A. Shirvani Yaser Keneshloo Nader Tavvaf Edward A. Fox AI4CE VLM 73 158 0 02 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery Jianqing Fan Weichen Wang Ziwei Zhu 42 95 0 28 Mar 2016