Image de couverture de livre

PAC-Bayes-Chernoff bounds for unbounded losses

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Casado, Ioar, Ortega, Luis A., Pérez, Aritz, Masegosa, Andrés R.
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime
par: Masegosa, Andrés R., et autres
Publié: (2023)

Error Bounds for a Diffusion Model-Based Drift Estimator
par: Casado-Telletxea, Ioar, et autres
Publié: (2026)

More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity
par: Rodríguez-Gálvez, Borja, et autres
Publié: (2023)

SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation
par: Alberola-Boloix, Enric, et autres
Publié: (2026)

Flow-Transformed Implicit Processes for Function-Space Variational Inference
par: Ortega, Luis A., et autres
Publié: (2026)

User-friendly introduction to PAC-Bayes bounds
par: Alquier, Pierre
Publié: (2021)

Misclassification excess risk bounds for PAC-Bayesian classification via convexified loss
par: Mai, The Tien
Publié: (2024)

Deep Exploration with PAC-Bayes
par: Tasdighi, Bahareh, et autres
Publié: (2024)

Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds
par: Alquier, Pierre, et autres
Publié: (2024)

A unified recipe for deriving (time-uniform) PAC-Bayes bounds
par: Chugg, Ben, et autres
Publié: (2023)

PAC-Bayes Analysis for Recalibration in Classification
par: Fujisawa, Masahiro, et autres
Publié: (2024)

Learning via Surrogate PAC-Bayes
par: Picard-Weibel, Antoine, et autres
Publié: (2024)

Better-than-KL PAC-Bayes Bounds
par: Kuzborskij, Ilja, et autres
Publié: (2024)

Empirical PAC-Bayes Bounds for Markov Chains
par: Karagulyan, Vahe, et autres
Publié: (2025)

How good is PAC-Bayes at explaining generalisation?
par: Picard-Weibel, Antoine, et autres
Publié: (2025)

Refined PAC-Bayes Bounds for Offline Bandits
par: Gouverneur, Amaury, et autres
Publié: (2025)

Risk-based Calibration for Generative Classifiers
par: Pérez, Aritz, et autres
Publié: (2024)

Decentralized Federated Learning of Probabilistic Generative Classifiers
par: Pérez, Aritz, et autres
Publié: (2025)

Efficient Large-Scale Learning of Minimax Risk Classifiers
par: Bondugula, Kartheek, et autres
Publié: (2025)

PAC-Bayes Meets Online Contextual Optimization
par: Xie, Zhuojun, et autres
Publié: (2025)

PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders
par: Guo, Ruixin, et autres
Publié: (2025)

Generalisation under gradient descent via deterministic PAC-Bayes
par: Clerico, Eugenio, et autres
Publié: (2022)

Some theoretical improvements on the tightness of PAC-Bayes risk certificates for neural networks
par: García-Pérez, Diego, et autres
Publié: (2025)

Online-to-PAC generalization bounds under graph-mixing dependencies
par: Abélès, Baptiste, et autres
Publié: (2024)

Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
par: Riou, Charles, et autres
Publié: (2023)

Learnable Chernoff Baselines for Inference-Time Alignment
par: Madhow, Sunil, et autres
Publié: (2026)

PAC-Bayes Bounds for Gibbs Posteriors via Singular Learning Theory
par: Wang, Chenyang, et autres
Publié: (2026)

Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis
par: Zhou, Sijia, et autres
Publié: (2025)

Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
par: Choi, Yoonhyuk, et autres
Publié: (2025)

PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs
par: Eringis, Deividas, et autres
Publié: (2023)

Misclassification bounds for PAC-Bayesian sparse deep learning
par: Mai, The Tien
Publié: (2024)

Generalization bounds for mixing processes via delayed online-to-PAC conversions
par: Abeles, Baptiste, et autres
Publié: (2024)

Deep Actor-Critics with Tight Risk Certificates
par: Tasdighi, Bahareh, et autres
Publié: (2025)

Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
par: Viallard, Paul, et autres
Publié: (2024)

Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
par: Adams, Reuben, et autres
Publié: (2022)

A Framework for Bounding Deterministic Risk with PAC-Bayes: Applications to Majority Votes
par: Leblanc, Benjamin, et autres
Publié: (2025)

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

Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems
par: Echevarrieta, Judith, et autres
Publié: (2023)

Minimax Generalized Cross-Entropy
par: Bondugula, Kartheek, et autres
Publié: (2026)

A Review on Single-Problem Multi-Attempt Heuristic Optimization
par: Echevarrieta, Judith, et autres
Publié: (2025)