Minimum Excess Risk in Bayesian Learning

29 December 2020

Papers citing "Minimum Excess Risk in Bayesian Learning"

11 / 11 papers shown

Title
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 28 15 0 04 Oct 2023
A view on model misspecification in uncertainty quantification Yuko Kato David Tax Marco Loog 23 3 0 30 Oct 2022
Information-Theoretic Analysis of Minimax Excess Risk Hassan Hafez-Kolahi Behrad Moniri S. Kasaei 17 4 0 15 Feb 2022
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 25 68 0 31 Dec 2021
Dynamic Inference Aolin Xu 23 0 0 29 Nov 2021
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models M. Nokleby Ahmad Beirami 57 1 0 08 Nov 2021
Bayesian Active Meta-Learning for Black-Box Optimization I. Nikoloska Osvaldo Simeone 29 4 0 19 Oct 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 202 81 0 16 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 148 453 0 03 Dec 2007