PAC-Bayesian Generalization Bounds for Adversarial Generative Models

17 February 2023

Papers citing "PAC-Bayesian Generalization Bounds for Adversarial Generative Models"

19 / 19 papers shown

Title
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 95 0 0 08 Nov 2023
Online PAC-Bayes Learning Maxime Haddouche Benjamin Guedj 78 21 0 31 May 2022
On Margins and Derandomisation in PAC-Bayes Felix Biggs Benjamin Guedj 51 20 0 08 Jul 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 229 271 0 18 Apr 2021
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 46 62 0 09 Oct 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 138 222 0 16 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 532 10,540 0 12 Dec 2018
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 86 321 0 13 Nov 2018
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks Behnam Neyshabur Srinadh Bhojanapalli Nathan Srebro 80 28 0 29 Jul 2017
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance Jonathan Niles-Weed Francis R. Bach 183 421 0 01 Jul 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning Akash Srivastava Lazar Valkov Chris Russell Michael U. Gutmann Charles Sutton SyDa GAN 60 678 0 22 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 187 9,533 0 31 Mar 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 474 9,044 0 10 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 72 1,314 0 02 Jun 2016
PAC-Bayesian Theory Meets Bayesian Inference Pascal Germain Francis R. Bach Alexandre Lacoste Simon Lacoste-Julien 68 183 0 27 May 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 838 27,303 0 02 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 243 14,005 0 19 Nov 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 433 16,944 0 20 Dec 2013
Testing the Manifold Hypothesis Charles Fefferman S. Mitter Hariharan Narayanan 142 532 0 01 Oct 2013