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bregman divergence

81 papers

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Co-occurring keywords

exponential family (124) mirror descent (148) convex optimization (1321) clustering algorithm (206) convergence rate (607) k-means clustering (235) loss function (462) cross-entropy loss (151) density ratio estimation (48) proper scoring rule (24)

Papers

Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning JMLR 2025
Bias-variance decompositions: the exclusive privilege of Bregman divergences JMLR 2025
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models COLT 2024
Learning Bregman Divergences with Application to Robustness NIPS 2024
How to Evaluate Behavioral Models AAAI 2024
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024
Clustering above Exponential Families with Tempered Exponential Measures AISTATS 2023
Agnostically Learning Single-Index Models using Omnipredictors NIPS 2023
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model NIPS 2023
A Bregman Divergence View on the Difference-of-Convex Algorithm AISTATS 2023
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality AISTATS 2023
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems NIPS 2023
Beta Diffusion NIPS 2023
Bregman Deviations of Generic Exponential Families COLT 2023
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm. ICML 2023
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning ACL 2023
Adaptive Learning of Density Ratios in RKHS JMLR 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NIPS 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps ICML 2023
Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints AISTATS 2023
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence AISTATS 2022
Reconstructing Test Labels from Noisy Loss Functions AISTATS 2022
Bregman Power k-Means for Clustering Exponential Family Data ICML 2022
Faster Algorithms for Learning Convex Functions ICML 2022