Imagen de Portada

Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Daunas, Francisco, Esnaola, Iñaki, Perlaza, Samir M., Poor, H. Vincent
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Information Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization
por: Daunas, Francisco, et al.
Publicado: (2024)

Empirical Risk Minimization with $f$-Divergence Regularization
por: Daunas, Francisco, et al.
Publicado: (2026)

A Dual Optimization View to Empirical Risk Minimization with f-Divergence Regularization
por: Daunas, Francisco, et al.
Publicado: (2025)

Empirical Risk Minimization with Relative Entropy Regularization
por: Perlaza, Samir M., et al.
Publicado: (2022)

Generalization Error of $f$-Divergence Stabilized Algorithms via Duality
por: Daunas, Francisco, et al.
Publicado: (2025)

Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms
por: Bermudez, Yaiza, et al.
Publicado: (2026)

Proofs for Folklore Theorems on the Radon-Nikodym Derivative
por: Bermudez, Yaiza, et al.
Publicado: (2025)

The Generalization Error of Supervised Machine Learning Algorithms
por: Perlaza, Samir M., et al.
Publicado: (2024)

Variations on the Expectation due to Changes in the Probability Measure
por: Perlaza, Samir M., et al.
Publicado: (2025)

Leveraging Noisy Observations in Zero-Sum Games
por: Athanasakos, Emmanouil M, et al.
Publicado: (2024)

Indexed Minimum Empirical Divergence-Based Algorithms for Linear Bandits
por: Bian, Jie, et al.
Publicado: (2024)

Simultaneous Information and Energy Transmission with Short Packets and Finite Constellations
por: Zuhra, Sadaf ul, et al.
Publicado: (2024)

An Elementary Approach to Scheduling in Generative Diffusion Models
por: Sun, Qiang, et al.
Publicado: (2026)

$f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses
por: Wu, Di, et al.
Publicado: (2026)

Robust Semi-supervised Learning via $f$-Divergence and $α$-Rényi Divergence
por: Aminian, Gholamali, et al.
Publicado: (2024)

A Memory-Based Reinforcement Learning Approach to Integrated Sensing and Communication
por: Nikbakht, Homa, et al.
Publicado: (2024)

$L^1$ Estimation: On the Optimality of Linear Estimators
por: Barnes, Leighton P., et al.
Publicado: (2023)

Submodularity of Mutual Information for Multivariate Gaussian Sources with Additive Noise
por: Crowley, George, et al.
Publicado: (2024)

Adversarial Water-Filling: Theory, Algorithms and Foundation Model
por: Tong, Xindi, et al.
Publicado: (2026)

Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods
por: Li, Gen, et al.
Publicado: (2023)

Mutual Information Estimation via $f$-Divergence and Data Derangements
por: Letizia, Nunzio A., et al.
Publicado: (2023)

Generalization and Robustness of the Tilted Empirical Risk
por: Aminian, Gholamali, et al.
Publicado: (2024)

Collaborative Inference over Wireless Channels with Feature Differential Privacy
por: Seif, Mohamed, et al.
Publicado: (2024)

Adversary-Aware Private Inference over Wireless Channels
por: Seif, Mohamed, et al.
Publicado: (2025)

Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures
por: Omanwar, Ananya, et al.
Publicado: (2025)

Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning
por: Barnes, L. P., et al.
Publicado: (2022)

Differentially Private Spectral Graph Clustering: Balancing Privacy, Accuracy, and Efficiency
por: Koskela, Antti, et al.
Publicado: (2025)

Best Arm Identification with Minimal Regret
por: Yang, Junwen, et al.
Publicado: (2024)

Empirical Bayes Estimation for Lasso-Type Regularizers: Analysis of Automatic Relevance Determination
por: Yoshida, Tsukasa, et al.
Publicado: (2025)

Neuromorphic Wireless Split Computing with Multi-Level Spikes
por: Wu, Dengyu, et al.
Publicado: (2024)

Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons
por: Wu, Dengyu, et al.
Publicado: (2025)

Relationship between Hölder Divergence and Functional Density Power Divergence: Intersection and Generalization
por: Kobayashi, Masahiro
Publicado: (2025)

The Representation Jensen-Shannon Divergence
por: Hoyos-Osorio, Jhoan K., et al.
Publicado: (2023)

Equivalence of optimal transport problems to regularization on the family of f-divergences
por: Nicaise, Maxime, et al.
Publicado: (2026)

Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions
por: Adibi, Arman, et al.
Publicado: (2024)

Digital versus Analog Transmissions for Federated Learning over Wireless Networks
por: Yao, Jiacheng, et al.
Publicado: (2024)

Adaptive Federated Learning Over the Air
por: Wang, Chenhao, et al.
Publicado: (2024)

Cauchy-Schwarz Divergence Information Bottleneck for Regression
por: Yu, Shujian, et al.
Publicado: (2024)

$L_2$-Regularized Empirical Risk Minimization Guarantees Small Smooth Calibration Error
por: Fujisawa, Masahiro, et al.
Publicado: (2025)

A Connection Between Learning to Reject and Bhattacharyya Divergences
por: Soen, Alexander
Publicado: (2025)