PAC-Bayesian Theory Meets Bayesian Inference

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PAC-Bayesian Theory Meets Bayesian Inference

27 May 2016

Francis R. Bach

Alexandre Lacoste

Simon Lacoste-Julien

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Papers citing "PAC-Bayesian Theory Meets Bayesian Inference"

19 / 119 papers shown

Title
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 109 106 0 03 Apr 2019
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification L. Duan 58 9 0 21 Mar 2019
PAC-Bayes Analysis of Sentence Representation Kento Nozawa Issei Sato 45 3 0 12 Feb 2019
Testing Conditional Independence in Supervised Learning Algorithms David S. Watson Marvin N. Wright CML 98 53 0 28 Jan 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 179 223 0 16 Jan 2019
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks using PAC-Bayesian Analysis Yusuke Tsuzuku Issei Sato Masashi Sugiyama 84 77 0 15 Jan 2019
A General Approach to Domain Adaptation with Applications in Astronomy R. Vilalta K. D. Gupta Dainis Boumber Mikhail M. Meskhi OOD 34 10 0 20 Dec 2018
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior Gaël Letarte Emilie Morvant Pascal Germain BDL 65 2 0 30 Oct 2018
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds David Reeb Andreas Doerr S. Gerwinn Barbara Rakitsch GP 84 35 0 29 Oct 2018
Learning Invariances using the Marginal Likelihood Mark van der Wilk Matthias Bauer S. T. John J. Hensman 97 86 0 16 Aug 2018
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation Behnoosh Parsa K. Rajasekaran Franziska Meier A. Banerjee 32 5 0 11 Jul 2018
Deep learning generalizes because the parameter-function map is biased towards simple functions Guillermo Valle Pérez Chico Q. Camargo A. Louis MLT AI4CE 122 232 0 22 May 2018
Dimension-free Information Concentration via Exp-Concavity Ya-Ping Hsieh Volkan Cevher 23 1 0 26 Feb 2018
Gaussian Process Classification with Privileged Information by Soft-to-Hard Labeling Transfer Ryosuke Kamesawa Issei Sato Masashi Sugiyama 24 0 0 12 Feb 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 89 145 0 26 Dec 2017
Variational Inference for Gaussian Process Models with Linear Complexity Ching-An Cheng Byron Boots BDL 74 75 0 28 Nov 2017
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory Ron Amit Ron Meir BDL MLT 73 176 0 03 Nov 2017
A Bayesian Perspective on Generalization and Stochastic Gradient Descent Samuel L. Smith Quoc V. Le BDL 126 253 0 17 Oct 2017
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints Wenlong Mou Liwei Wang Xiyu Zhai Kai Zheng MLT 64 159 0 19 Jul 2017