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PAC-Bayesian Theory Meets Bayesian Inference

27 May 2016

Papers citing "PAC-Bayesian Theory Meets Bayesian Inference"

50 / 119 papers shown

Title
Posterior concentration and fast convergence rates for generalized Bayesian learning L. Ho Binh T. Nguyen Vu C. Dinh D. M. Nguyen 68 5 0 19 Nov 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Yan Sun 81 15 0 16 Nov 2021
Diversity and Generalization in Neural Network Ensembles Luis A. Ortega Rafael Cabañas A. Masegosa FedML UQCV 86 45 0 26 Oct 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 193 206 0 21 Oct 2021
On out-of-distribution detection with Bayesian neural networks Francesco DÁngelo Christian Henning BDL UQCV 94 6 0 12 Oct 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis Qi Chen Changjian Shui M. Marchand 99 44 0 29 Sep 2021
Secure PAC Bayesian Regression via Real Shamir Secret Sharing Jaron Skovsted Gundersen Bulut Kuskonmaz R. Wisniewski 58 1 0 23 Sep 2021
`Basic' Generalization Error Bounds for Least Squares Regression with Well-specified Models Karthik Duraisamy 53 1 0 20 Sep 2021
Loss function based second-order Jensen inequality and its application to particle variational inference Futoshi Futami Tomoharu Iwata N. Ueda Issei Sato Masashi Sugiyama 62 4 0 09 Jun 2021
How Tight Can PAC-Bayes be in the Small Data Regime? Andrew Y. K. Foong W. Bruinsma David R. Burt Richard Turner 95 22 0 07 Jun 2021
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning Nan Ding Xi Chen Tomer Levinboim Sebastian Goodman Radu Soricut 77 33 0 28 May 2021
Information Complexity and Generalization Bounds P. Banerjee Guido Montúfar 86 14 0 04 May 2021
Stopping Criterion for Active Learning Based on Error Stability Hideaki Ishibashi H. Hino 66 12 0 05 Apr 2021
PAC-Bayesian theory for stochastic LTI systems Deividas Eringis J. Leth Zheng-Hua Tan Rafal Wisniewski Alireza Fakhrizadeh Esfahani Mihaly Petreczky 104 9 0 23 Mar 2021
Weak Adaptation Learning -- Addressing Cross-domain Data Insufficiency with Weak Annotator Shichao Xu Lixu Wang Yixuan Wang Qi Zhu 67 15 0 15 Feb 2021
Bayesian Neural Network Priors Revisited Vincent Fortuin Adrià Garriga-Alonso Sebastian W. Ober F. Wenzel Gunnar Rätsch Richard Turner Mark van der Wilk Laurence Aitchison BDL UQCV 133 141 0 12 Feb 2021
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior Tianyu Liu Jie Lu Zheng Yan Guangquan Zhang 56 14 0 07 Feb 2021
Generalization bounds for deep learning Guillermo Valle Pérez A. Louis BDL 82 45 0 07 Dec 2020
VIB is Half Bayes Alexander A. Alemi Warren Morningstar Ben Poole Ian S. Fischer Joshua V. Dillon BDL 127 2 0 17 Nov 2020
A Bayesian Perspective on Training Speed and Model Selection Clare Lyle Lisa Schut Binxin Ru Y. Gal Mark van der Wilk 102 24 0 27 Oct 2020
Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance Jeremias Knoblauch Lara Vomfell 72 7 0 26 Oct 2020
PAC $^m$ -Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime Warren Morningstar Alexander A. Alemi Joshua V. Dillon 130 16 0 19 Oct 2020
Deep kernel processes Laurence Aitchison Adam X. Yang Sebastian W. Ober BDL 96 42 0 04 Oct 2020
CASTLE: Regularization via Auxiliary Causal Graph Discovery Trent Kyono Yao Zhang M. Schaar OOD CML 81 69 0 28 Sep 2020
Tighter risk certificates for neural networks Maria Perez-Ortiz Omar Rivasplata John Shawe-Taylor Csaba Szepesvári UQCV 91 108 0 25 Jul 2020
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 123 80 0 23 Jun 2020
Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks Felix Biggs Benjamin Guedj FedML UQCV BDL 55 34 0 22 Jun 2020
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes Manuel Haussmann S. Gerwinn Andreas Look Barbara Rakitsch M. Kandemir 89 16 0 17 Jun 2020
PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons Xinjie Lan Xin Guo Kenneth Barner 47 3 0 16 Jun 2020
PAC-Bayes unleashed: generalisation bounds with unbounded losses Maxime Haddouche Benjamin Guedj Omar Rivasplata John Shawe-Taylor 100 56 0 12 Jun 2020
Speedy Performance Estimation for Neural Architecture Search Binxin Ru Clare Lyle Lisa Schut M. Fil Mark van der Wilk Y. Gal 102 37 0 08 Jun 2020
Stopping criterion for active learning based on deterministic generalization bounds Hideaki Ishibashi H. Hino 55 29 0 15 May 2020
Practical calibration of the temperature parameter in Gibbs posteriors Lucie Perrotta 50 3 0 22 Apr 2020
PAC-Bayes meta-learning with implicit task-specific posteriors Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 120 7 0 05 Mar 2020
On the generalization of bayesian deep nets for multi-class classification Yossi Adi Yaniv Nemcovsky Alex Schwing Tamir Hazan BDL UQCV 21 1 0 23 Feb 2020
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Jonas Rothfuss Vincent Fortuin Martin Josifoski Andreas Krause UQCV 93 127 0 13 Feb 2020
Learning under Model Misspecification: Applications to Variational and Ensemble methods A. Masegosa 29 1 0 18 Dec 2019
Improved PAC-Bayesian Bounds for Linear Regression V. Shalaeva Alireza Fakhrizadeh Esfahani Pascal Germain Mihaly Petreczky 61 16 0 06 Dec 2019
Bounding Regression Errors in Data-driven Power Grid Steady-state Models Yuxiao Liu Bolun Xu A. Botterud Ning Zhang C. Kang 29 0 0 30 Oct 2019
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales Sanjay Thakur H. V. Hoof Gunshi Gupta David Meger BDL 32 2 0 23 Oct 2019
PAC-Bayesian Bounds for Deep Gaussian Processes R. Foll Ingo Steinwart BDL 42 1 0 22 Sep 2019
Predictive Multiplicity in Classification Charles Marx Flavio du Pin Calmon Berk Ustun 136 147 0 14 Sep 2019
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation Konstantinos Pitas 73 8 0 06 Sep 2019
Efron-Stein PAC-Bayesian Inequalities Ilja Kuzborskij Csaba Szepesvári 86 22 0 04 Sep 2019
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes Jun Yang Shengyang Sun Daniel M. Roy 82 28 0 20 Aug 2019
Stochastic Neural Network with Kronecker Flow Chin-Wei Huang Ahmed Touati Pascal Vincent Gintare Karolina Dziugaite Alexandre Lacoste Aaron Courville BDL 67 8 0 10 Jun 2019
Bayesian Evidential Deep Learning with PAC Regularization Manuel Haussmann S. Gerwinn M. Kandemir UQCV EDL BDL 48 1 0 03 Jun 2019
PAC-Bayes under potentially heavy tails Matthew J. Holland 113 42 0 20 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 112 1,849 0 10 Apr 2019
A Generalization Bound for Online Variational Inference Badr-Eddine Chérief-Abdellatif Pierre Alquier Mohammad Emtiyaz Khan BDL 69 27 0 08 Apr 2019