Uniform Generalization Bounds for Overparameterized Neural Networks

Uniform Generalization Bounds for Overparameterized Neural Networks

13 September 2021

Michael Bromberg

Jezabel R. Garcia

Papers citing "Uniform Generalization Bounds for Overparameterized Neural Networks"

17 / 17 papers shown

Title
PINNACLE: PINN Adaptive ColLocation and Experimental points selection Gregory Kang Ruey Lau Apivich Hemachandra See-Kiong Ng K. H. Low 3DPC 42 18 0 11 Apr 2024
Optimization dependent generalization bound for ReLU networks based on sensitivity in the tangent bundle Dániel Rácz Mihaly Petreczky András Csertán Bálint Daróczy MLT 31 1 0 26 Oct 2023
Kernelized Reinforcement Learning with Order Optimal Regret Bounds Sattar Vakili Julia Olkhovskaya 26 8 0 13 Jun 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees Apivich Hemachandra Zhongxiang Dai Jasraj Singh See-Kiong Ng K. H. Low AAML 36 6 0 07 Jun 2023
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension Moritz Haas David Holzmüller U. V. Luxburg Ingo Steinwart MLT 42 14 0 23 May 2023
Sparsity-depth Tradeoff in Infinitely Wide Deep Neural Networks Chanwoo Chun Daniel D. Lee BDL 45 2 0 17 May 2023
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits Yusha Liu Aarti Singh 27 1 0 26 Apr 2023
Sample Complexity of Kernel-Based Q-Learning Sing-Yuan Yeh Fu-Chieh Chang Chang-Wei Yueh Pei-Yuan Wu A. Bernacchia Sattar Vakili OffRL 30 4 0 01 Feb 2023
Delayed Feedback in Kernel Bandits Sattar Vakili Danyal Ahmed A. Bernacchia Ciara Pike-Burke 19 6 0 01 Feb 2023
LieGG: Studying Learned Lie Group Generators A. Moskalev A. Sepliarskaia Ivan Sosnovik A. Smeulders 28 22 0 09 Oct 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling Jiri Hron Roman Novak Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 48 6 0 15 Jun 2022
Provably and Practically Efficient Neural Contextual Bandits Sudeep Salgia Sattar Vakili Qing Zhao 28 8 0 31 May 2022
Federated Neural Bandits Zhongxiang Dai Yao Shu Arun Verma Flint Xiaofeng Fan Bryan Kian Hsiang Low Patrick Jaillet FedML 35 13 0 28 May 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning Sattar Vakili Jonathan Scarlett Da-Shan Shiu A. Bernacchia 33 18 0 08 Feb 2022
Regret Bounds for Noise-Free Kernel-Based Bandits Sattar Vakili 36 3 0 12 Feb 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar Cengiz Pehlevan 149 201 0 07 Feb 2020
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 127 577 0 27 Feb 2015