Imagen de Portada

Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Riou, Charles, Alquier, Pierre, Chérief-Abdellatif, Badr-Eddine
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence
por: Chérief-Abdellatif, Badr-Eddine, et al.
Publicado: (2019)

Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
por: Wu, Yi-Shan, et al.
Publicado: (2024)

User-friendly introduction to PAC-Bayes bounds
por: Alquier, Pierre
Publicado: (2021)

Empirical PAC-Bayes Bounds for Markov Chains
por: Karagulyan, Vahe, et al.
Publicado: (2025)

Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds
por: Alquier, Pierre, et al.
Publicado: (2024)

Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference
por: Singh, Jasraj, et al.
Publicado: (2025)

Predictively Oriented Posteriors
por: McLatchie, Yann, et al.
Publicado: (2025)

Parametric MMD Estimation with Missing Values: Robustness to Missingness and Data Model Misspecification
por: Chérief-Abdellatif, Badr-Eddine, et al.
Publicado: (2025)

Asymptotics of Nonparametric Estimation under general non-monotone MAR missingness: A Bayesian Approach
por: Chérief-Abdellatif, Badr-Eddine, et al.
Publicado: (2026)

Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
por: Leblanc, Benjamin, et al.
Publicado: (2024)

PAC-Bayes Analysis for Recalibration in Classification
por: Fujisawa, Masahiro, et al.
Publicado: (2024)

Learning via Surrogate PAC-Bayes
por: Picard-Weibel, Antoine, et al.
Publicado: (2024)

Deep Exploration with PAC-Bayes
por: Tasdighi, Bahareh, et al.
Publicado: (2024)

Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis
por: Zhou, Sijia, et al.
Publicado: (2025)

Better-than-KL PAC-Bayes Bounds
por: Kuzborskij, Ilja, et al.
Publicado: (2024)

How good is PAC-Bayes at explaining generalisation?
por: Picard-Weibel, Antoine, et al.
Publicado: (2025)

PAC-Bayes-Chernoff bounds for unbounded losses
por: Casado, Ioar, et al.
Publicado: (2024)

Refined PAC-Bayes Bounds for Offline Bandits
por: Gouverneur, Amaury, et al.
Publicado: (2025)

Bernstein Flows for Flexible Posteriors in Variational Bayes
por: Dürr, Oliver, et al.
Publicado: (2022)

PAC-Bayes Bounds for Gibbs Posteriors via Singular Learning Theory
por: Wang, Chenyang, et al.
Publicado: (2026)

More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
por: Zakerinia, Hossein, et al.
Publicado: (2024)

On the Asymptotics of Importance Weighted Variational Inference
por: Cherief-Abdellatif, Badr-Eddine, et al.
Publicado: (2025)

PAC-Bayes Meets Online Contextual Optimization
por: Xie, Zhuojun, et al.
Publicado: (2025)

Variance-Aware Estimation of Kernel Mean Embedding
por: Wolfer, Geoffrey, et al.
Publicado: (2022)

PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders
por: Guo, Ruixin, et al.
Publicado: (2025)

Generalisation under gradient descent via deterministic PAC-Bayes
por: Clerico, Eugenio, et al.
Publicado: (2022)

Quasi-Bayes meets Vines
por: Huk, David, et al.
Publicado: (2024)

Fast Rates for Bandit PAC Multiclass Classification
por: Erez, Liad, et al.
Publicado: (2024)

Modified Meta-Thompson Sampling for Linear Bandits and Its Bayes Regret Analysis
por: Li, Hao, et al.
Publicado: (2024)

PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs
por: Eringis, Deividas, et al.
Publicado: (2023)

Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
por: Choi, Yoonhyuk, et al.
Publicado: (2025)

Convergence of Statistical Estimators via Mutual Information Bounds
por: Khribch, El Mahdi, et al.
Publicado: (2024)

Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors
por: Khribch, EL Mahdi, et al.
Publicado: (2026)

Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
por: Zakerinia, Hossein, et al.
Publicado: (2025)

Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
por: Sakhi, Otmane, et al.
Publicado: (2024)

Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
por: Adams, Reuben, et al.
Publicado: (2022)

A Framework for Bounding Deterministic Risk with PAC-Bayes: Applications to Majority Votes
por: Leblanc, Benjamin, et al.
Publicado: (2025)

Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
por: Viallard, Paul, et al.
Publicado: (2024)

Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift
por: Enabe, Paulo Akira F.
Publicado: (2026)

BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation
por: Yuan, Bo, et al.
Publicado: (2026)