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Robust PAC $^m$ : Training Ensemble Models Under Misspecification and Outliers

3 March 2022

Matteo Zecchin

Sangwoo Park

Osvaldo Simeone

Marios Kountouris

David Gesbert

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Papers citing "Robust PAC$^m$: Training Ensemble Models Under Misspecification and Outliers"

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Title
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 214 2 0 03 Jan 2025
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 71 15 0 01 Jul 2022
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning Sharu Theresa Jose Sangwook Park Osvaldo Simeone PER UD UQCV 66 17 0 01 Jun 2021
PAC $^m$ -Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime Warren Morningstar Alexander A. Alemi Joshua V. Dillon 119 16 0 19 Oct 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors Michael W. Dusenberry Ghassen Jerfel Yeming Wen Yi-An Ma Jasper Snoek Katherine A. Heller Balaji Lakshminarayanan Dustin Tran UQCV BDL 62 215 0 14 May 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 455 10,591 0 17 Feb 2020
Frequentist Consistency of Generalized Variational Inference Jeremias Knoblauch 36 11 0 10 Dec 2019
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 161 74 0 29 Sep 2019
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences Ehsan Amid Manfred K. Warmuth Rohan Anil Tomer Koren NoLa 42 131 0 08 Jun 2019
A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization Tyler Sypherd Mario Díaz J. Cava Gautam Dasarathy Peter Kairouz Lalitha Sankar 57 29 0 05 Jun 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 77 106 0 03 Apr 2019
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 288 503 0 11 Jun 2018
A more globally accurate dimensionality reduction method using triplets Ehsan Amid Manfred K. Warmuth 31 16 0 01 Mar 2018
Principles of Bayesian Inference using General Divergence Criteria Jack Jewson Jim Q. Smith Chris Holmes 56 88 0 26 Feb 2018
Practical Bayesian optimization in the presence of outliers Ruben Martinez-Cantin K. Tee M. McCourt 46 54 0 12 Dec 2017
Variational Inference based on Robust Divergences Futoshi Futami Issei Sato Masashi Sugiyama BDL OOD 80 67 0 18 Oct 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,855 0 14 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 359 4,718 0 15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,840 0 05 Dec 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 161 290 0 22 Feb 2016
Rényi Divergence Variational Inference Yingzhen Li Richard Turner BDL 94 263 0 06 Feb 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 287 4,807 0 04 Jan 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 300 5,532 0 23 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 276 1,245 0 01 Sep 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 130 946 0 18 Feb 2015
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 86 268 0 11 Dec 2014

Robust PACm^mm: Training Ensemble Models Under Misspecification and Outliers

Papers citing "Robust PAC$^m$: Training Ensemble Models Under Misspecification and Outliers"

Robust PAC $^m$ : Training Ensemble Models Under Misspecification and Outliers