Maximum Multiscale Entropy and Neural Network Regularization

25 June 2020

Papers citing "Maximum Multiscale Entropy and Neural Network Regularization"

18 / 18 papers shown

Title
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Nets Amir-Reza Asadi Emmanuel Abbe BDL AI4CE 51 13 0 26 Jun 2019
Is Deep Learning a Renormalization Group Flow? E. Koch R. Koch Ling Cheng OOD AI4CE 16 6 0 12 Jun 2019
Approximate Inference Turns Deep Networks into Gaussian Processes Mohammad Emtiyaz Khan Alexander Immer Ehsan Abedi M. Korzepa UQCV BDL 53 124 0 05 Jun 2019
Thermodynamics and Feature Extraction by Machine Learning S. Funai D. Giataganas DRL AI4CE 26 34 0 18 Oct 2018
Chaining Mutual Information and Tightening Generalization Bounds Amir-Reza Asadi Emmanuel Abbe S. Verdú AI4CE 13 121 0 11 Jun 2018
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach Wenda Zhou Victor Veitch Morgane Austern Ryan P. Adams Peter Orbanz 53 212 0 16 Apr 2018
Scale-invariant Feature Extraction of Neural Network and Renormalization Group Flow S. Iso Shotaro Shiba Sumito Yokoo OOD AI4CE 45 70 0 22 Jan 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors Gintare Karolina Dziugaite Daniel M. Roy MLT 42 145 0 26 Dec 2017
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks Behnam Neyshabur Srinadh Bhojanapalli Nathan Srebro 43 604 0 29 Jul 2017
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky 43 442 0 22 May 2017
Mutual Information, Neural Networks and the Renormalization Group M. Koch-Janusz Zohar Ringel DRL AI4CE 53 176 0 20 Apr 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 59 808 0 31 Mar 2017
Identity Matters in Deep Learning Moritz Hardt Tengyu Ma OOD 39 398 0 14 Nov 2016
Why does deep and cheap learning work so well? Henry W. Lin Max Tegmark David Rolnick 49 606 0 29 Aug 2016
How much does your data exploration overfit? Controlling bias via information usage D. Russo James Zou 21 189 0 16 Nov 2015
An exact mapping between the Variational Renormalization Group and Deep Learning Pankaj Mehta D. Schwab AI4CE 27 309 0 14 Oct 2014
Rényi Divergence and Kullback-Leibler Divergence T. Erven P. Harremoes 33 1,326 0 12 Jun 2012
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 185 458 0 03 Dec 2007