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Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
Neural Information Processing Systems (NeurIPS), 2021
12 February 2021
Alec Farid
Anirudha Majumdar
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Papers citing
"Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability"
24 / 24 papers shown
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Data-Driven Performance Guarantees for Classical and Learned Optimizers
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Bartolomeo Stellato
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Tighter Generalisation Bounds via Interpolation
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Maxime Haddouche
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07 Feb 2024
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
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Amin Behjati
Christoph H. Lampert
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395
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06 Feb 2024
Federated Learning with Nonvacuous Generalisation Bounds
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Benjamin Guedj
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300
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17 Oct 2023
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Xiaoge Deng
Li Shen
Shengwei Li
Tao Sun
Dongsheng Li
Dacheng Tao
499
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18 Aug 2023
Learning via Wasserstein-Based High Probability Generalisation Bounds
Neural Information Processing Systems (NeurIPS), 2023
Paul Viallard
Maxime Haddouche
Umut Simsekli
Benjamin Guedj
428
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07 Jun 2023
Exponential Smoothing for Off-Policy Learning
International Conference on Machine Learning (ICML), 2023
Imad Aouali
Victor-Emmanuel Brunel
D. Rohde
Anna Korba
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378
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25 May 2023
Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation
Maxime Haddouche
Benjamin Guedj
310
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14 Apr 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
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Pierre Alquier
Badr-Eddine Chérief-Abdellatif
311
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0
23 Feb 2023
PAC-Bayesian Soft Actor-Critic Learning
Symposium on Advances in Approximate Bayesian Inference (AABI), 2023
Bahareh Tasdighi
Abdullah Akgul
Manuel Haussmann
Kenny Kazimirzak Brink
M. Kandemir
435
4
0
30 Jan 2023
A Statistical Model for Predicting Generalization in Few-Shot Classification
European Signal Processing Conference (EUSIPCO), 2022
Yassir Bendou
Vincent Gripon
Bastien Pasdeloup
Lukas Mauch
Stefan Uhlich
Fabien Cardinaux
G. B. Hacene
Javier Alonso García
279
2
0
13 Dec 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
Journal of machine learning research (JMLR), 2022
Jonas Rothfuss
Martin Josifoski
Vincent Fortuin
Andreas Krause
501
11
0
14 Nov 2022
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness
Neural Information Processing Systems (NeurIPS), 2022
Fredrik Hellström
G. Durisi
261
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12 Oct 2022
On the Importance of Gradient Norm in PAC-Bayesian Bounds
Neural Information Processing Systems (NeurIPS), 2022
Itai Gat
Yossi Adi
Alex Schwing
Tamir Hazan
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327
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0
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Hypernetwork approach to Bayesian MAML
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Piotr Kubacki
Marcin Przewiȩźlikowski
Tomasz Kuśmierczyk
Jacek Tabor
Przemysław Spurek
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215
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0
06 Oct 2022
Meta-Learning Priors for Safe Bayesian Optimization
Conference on Robot Learning (CoRL), 2022
Jonas Rothfuss
Christopher Koenig
Alisa Rupenyan
Andreas Krause
414
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03 Oct 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning
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Songtao Lu
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Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
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Momin Abbas
Quan-Wu Xiao
Lisha Chen
Pin-Yu Chen
Tianyi Chen
595
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08 Jun 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Lisha Chen
Tianyi
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216
21
0
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Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
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Deyu Meng
Zongben Xu
382
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06 Jul 2021
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