Imagen de Portada

Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Enabe, Paulo Akira F.
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Hybrid Virtual Element Method and Deep Learning Approach for Solving One-Dimensional Euler-Bernoulli Beams
por: Enabe, Paulo Akira F., et al.
Publicado: (2025)

Unbounded Density Ratio Estimation and Its Application to Covariate Shift Adaptation
por: Liu, Ren-Rui, et al.
Publicado: (2026)

Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
por: Zhang, Yu-Jie, et al.
Publicado: (2023)

Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
por: Kato, Masahiro, et al.
Publicado: (2023)

Estimating Unbounded Density Ratios: Applications in Error Control under Covariate Shift
por: Xu, Shuntuo, et al.
Publicado: (2025)

Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
por: Joshi, Sunay, et al.
Publicado: (2025)

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

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

Profile-Then-Reason: Bounded Semantic Complexity for Tool-Augmented Language Agents
por: Enabe, Paulo Akira F.
Publicado: (2026)

Optimal Policy Adaptation under Covariate Shift
por: Liu, Xueqing, et al.
Publicado: (2025)

Equivalence of D and D' properties in Banach spaces
por: Enabe, Paulo Akira F.
Publicado: (2024)

Anytime-Constrained Reinforcement Learning
por: McMahan, Jeremy, et al.
Publicado: (2023)

Covariance Density Neural Networks
por: Roy, Om, et al.
Publicado: (2025)

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)

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

Distributionally Robust Coreset Selection under Covariate Shift
por: Tanaka, Tomonari, et al.
Publicado: (2025)

Training-Conditional Coverage Bounds under Covariate Shift
por: Pournaderi, Mehrdad, et al.
Publicado: (2024)

Anytime-valid, Bayes-assisted, Prediction-Powered Inference
por: Kilian, Valentin, et al.
Publicado: (2025)

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

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

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)

Safe Distributionally Robust Feature Selection under Covariate Shift
por: Hanada, Hiroyuki, et al.
Publicado: (2026)

Conformalized Signal Temporal Logic Inference under Covariate Shift
por: Wang, Yixuan, et al.
Publicado: (2026)

Computational Efficiency under Covariate Shift in Kernel Ridge Regression
por: Della Vecchia, Andrea, et al.
Publicado: (2025)

Distributionally Robust Safe Sample Elimination under Covariate Shift
por: Hanada, Hiroyuki, et al.
Publicado: (2024)

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift
por: Liu, Ren-Rui, et al.
Publicado: (2025)

Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift
por: Dong, Jinzong, et al.
Publicado: (2026)

Weight Clipping for Robust Conformal Inference under Unbounded Covariate Shifts
por: Wang, James, et al.
Publicado: (2026)

Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition
por: Liu, Yuanshi, et al.
Publicado: (2025)

Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
por: Fujikawa, Mitsuhiro, et al.
Publicado: (2024)

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

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

Anytime-Constrained Equilibria in Polynomial Time
por: McMahan, Jeremy
Publicado: (2024)

PAC-Bayesian Bounds on Constrained f-Entropic Risk Measures
por: Atbir, Hind, et al.
Publicado: (2025)

Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits
por: Guo, Yihong, et al.
Publicado: (2024)

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

Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds
por: Zhang, Xitong, et al.
Publicado: (2023)