On Rademacher Complexity-based Generalization Bounds for Deep Learning

8 August 2022

Papers citing "On Rademacher Complexity-based Generalization Bounds for Deep Learning"

12 / 12 papers shown

Title
On Rank-Dependent Generalisation Error Bounds for Transformers Lan V. Truong 32 2 0 15 Oct 2024
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning Arthur Jacot Seok Hoan Choi Yuxiao Wen AI4CE 78 2 0 08 Jul 2024
Length independent generalization bounds for deep SSM architectures Dániel Rácz M. Petreczky Bálint Daróczy 28 1 0 30 May 2024
A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning Bryan Chan Karime Pereida James Bergstra 34 1 0 02 Nov 2023
Sequence Length Independent Norm-Based Generalization Bounds for Transformers Jacob Trauger Ambuj Tewari 18 11 0 19 Oct 2023
How Does Information Bottleneck Help Deep Learning? Kenji Kawaguchi Zhun Deng Xu Ji Jiaoyang Huang 38 52 0 30 May 2023
Global Convergence Rate of Deep Equilibrium Models with General Activations Lan V. Truong 37 2 0 11 Feb 2023
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation Jose Antonio Lara Benitez Takashi Furuya F. Faucher Anastasis Kratsios X. Tricoche Maarten V. de Hoop 30 14 0 27 Jan 2023
Generalization Bounds on Multi-Kernel Learning with Mixed Datasets Lan V. Truong 16 2 0 15 May 2022
Generalization Error Bounds on Deep Learning with Markov Datasets Lan V. Truong 11 8 0 23 Dec 2021
A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation Gang Wang Bingcong Li G. Giannakis 21 28 0 10 Sep 2019
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 111 577 0 27 Feb 2015