Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior:
From Theory to Practice

Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice

14 November 2022

Martin Josifoski

Vincent Fortuin

Papers citing "Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice"

17 / 17 papers shown

Title
Sparse Gaussian Neural Processes Tommy Rochussen Vincent Fortuin BDL UQCV 56 0 0 02 Apr 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models Raeid Saqur Anastasis Kratsios Florian Krach Yannick Limmer Jacob-Junqi Tian John Willes Blanka Horvath Frank Rudzicz MoE 43 0 0 24 Feb 2025
Learning via Surrogate PAC-Bayes Antoine Picard-Weibel Roman Moscoviz Benjamin Guedj 23 0 0 14 Oct 2024
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms Hossein Zakerinia Amin Behjati Christoph H. Lampert FedML 22 4 0 06 Feb 2024
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning Arjun Bhardwaj Jonas Rothfuss Bhavya Sukhija Yarden As Marco Hutter Stelian Coros Andreas Krause 16 5 0 13 Nov 2023
Improving Neural Additive Models with Bayesian Principles Kouroche Bouchiat Alexander Immer Hugo Yèche Gunnar Rätsch Vincent Fortuin BDL MedIm 26 6 0 26 May 2023
Lifelong Bandit Optimization: No Prior and No Regret Felix Schur Parnian Kassraie Jonas Rothfuss Andreas Krause 35 3 0 27 Oct 2022
Meta-Learning Priors for Safe Bayesian Optimization Jonas Rothfuss Christopher Koenig Alisa Rupenyan Andreas Krause 28 29 0 03 Oct 2022
Meta Representation Learning with Contextual Linear Bandits Leonardo Cella Karim Lounici Massimiliano Pontil 26 5 0 30 May 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making Parnian Kassraie Jonas Rothfuss Andreas Krause OffRL 28 6 0 01 Feb 2022
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis Qi Chen Changjian Shui M. Marchand 35 43 0 29 Sep 2021
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 191 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017
Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier Benjamin Guedj 79 72 0 23 Oct 2016
PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers Pierre Alquier 156 58 0 11 Dec 2007
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 135 453 0 03 Dec 2007