Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes

1 May 2016

Papers citing "Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes"

14 / 14 papers shown

Title
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee Se-Young Yun Kwang-Sung Jun 26 4 0 19 Jul 2024
Empirical Bayes inference in sparse high-dimensional generalized linear models Yiqi Tang Ryan Martin 19 3 0 14 Mar 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 33 8 0 23 Feb 2023
Mixed moving average field guided learning for spatio-temporal data I. Curato O. Furat Lorenzo Proietti Bennet Stroeh AI4TS 21 2 0 02 Jan 2023
Fast Rate Generalization Error Bounds: Variations on a Theme Xuetong Wu J. Manton U. Aickelin Jingge Zhu 14 7 0 06 May 2022
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning Wei Huang Chunrui Liu Yilan Chen Tianyu Liu R. Xu BDL MLT 19 2 0 04 Feb 2022
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 34 196 0 21 Oct 2021
Calibrating generalized predictive distributions Pei-Shien Wu Ryan Martin 24 8 0 04 Jul 2021
Minimum Excess Risk in Bayesian Learning Aolin Xu Maxim Raginsky 13 37 0 29 Dec 2020
Safe Testing Peter Grünwald R. D. Heide Wouter M. Koolen 8 208 0 18 Jun 2019
PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi Peter Grünwald Benjamin Guedj 6 45 0 31 May 2019
Minimum Description Length Principle in Supervised Learning with Application to Lasso Masanori Kawakita J. Takeuchi 16 5 0 11 Jul 2016
Learning without Concentration for General Loss Functions S. Mendelson 55 65 0 13 Oct 2014
Learning without Concentration S. Mendelson 80 333 0 01 Jan 2014