Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?

20 April 2022

Papers citing "Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?"

9 / 9 papers shown

Title
When Do Neural Networks Outperform Kernel Methods? Behrooz Ghorbani Song Mei Theodor Misiakiewicz Andrea Montanari 83 188 0 24 Jun 2020
Statistical Guarantees for Regularized Neural Networks Mahsa Taheri Fang Xie Johannes Lederer 77 39 0 30 May 2020
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks Mert Pilanci Tolga Ergen 61 118 0 24 Feb 2020
Revealing the Structure of Deep Neural Networks via Convex Duality Tolga Ergen Mert Pilanci MLT 38 71 0 22 Feb 2020
Online Forecasting of Total-Variation-bounded Sequences Dheeraj Baby Yu Wang AI4TS 29 39 0 08 Jun 2019
What Can ResNet Learn Efficiently, Going Beyond Kernels? Zeyuan Allen-Zhu Yuanzhi Li 230 183 0 24 May 2019
How do infinite width bounded norm networks look in function space? Pedro H. P. Savarese Itay Evron Daniel Soudry Nathan Srebro 57 166 0 13 Feb 2019
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 165 805 0 22 Aug 2017
Dropout Training as Adaptive Regularization Stefan Wager Sida I. Wang Percy Liang 109 597 0 04 Jul 2013