Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability

12 February 2021

Anirudha Majumdar

Papers citing "Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability"

22 / 22 papers shown

Title
Meta-learning for Positive-unlabeled Classification Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 23 1 0 06 Jun 2024
Tighter Generalisation Bounds via Interpolation Paul Viallard Maxime Haddouche Umut Simsekli Benjamin Guedj 11 3 0 07 Feb 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
Federated Learning with Nonvacuous Generalisation Bounds Pierre Jobic Maxime Haddouche Benjamin Guedj FedML 22 3 0 17 Oct 2023
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent Xiaoge Deng Li Shen Shengwei Li Tao Sun Dongsheng Li Dacheng Tao 20 3 0 18 Aug 2023
Learning via Wasserstein-Based High Probability Generalisation Bounds Paul Viallard Maxime Haddouche Umut Simsekli Benjamin Guedj 30 12 0 07 Jun 2023
Exponential Smoothing for Off-Policy Learning Imad Aouali Victor-Emmanuel Brunel D. Rohde Anna Korba OffRL 20 11 0 25 May 2023
Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation Maxime Haddouche Benjamin Guedj 25 0 0 14 Apr 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 35 8 0 23 Feb 2023
PAC-Bayesian Soft Actor-Critic Learning Bahareh Tasdighi Abdullah Akgul Manuel Haussmann Kenny Kazimirzak Brink M. Kandemir 24 3 0 30 Jan 2023
A Statistical Model for Predicting Generalization in Few-Shot Classification Yassir Bendou Vincent Gripon Bastien Pasdeloup Lukas Mauch Stefan Uhlich Fabien Cardinaux G. B. Hacene Javier Alonso García 13 2 0 13 Dec 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 35 7 0 14 Nov 2022
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness Fredrik Hellström G. Durisi 14 13 0 12 Oct 2022
On the Importance of Gradient Norm in PAC-Bayesian Bounds Itai Gat Yossi Adi A. Schwing Tamir Hazan BDL 24 6 0 12 Oct 2022
Hypernetwork approach to Bayesian MAML Piotr Borycki Piotr Kubacki Marcin Przewiȩźlikowski Tomasz Ku'smierczyk Jacek Tabor P. Spurek BDL 9 2 0 06 Oct 2022
Meta-Learning Priors for Safe Bayesian Optimization Jonas Rothfuss Christopher Koenig Alisa Rupenyan Andreas Krause 33 29 0 03 Oct 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning Lisha Chen Songtao Lu Tianyi Chen MLT 25 14 0 27 Jun 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning Momin Abbas Quan-Wu Xiao Lisha Chen Pin-Yu Chen Tianyi Chen 21 78 0 08 Jun 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? Lisha Chen Tianyi BDL 14 16 0 06 Mar 2022
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 24 6 0 06 Jul 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,681 0 09 Mar 2017
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 139 453 0 03 Dec 2007