bregman divergence

Clustering above Exponential Families with Tempered Exponential Measures AISTATS 2023 Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems NeurIPS 2023 Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning ACL 2023 Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model NeurIPS 2023 Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality AISTATS 2023 Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps ICML 2023 Neural Bregman Divergences for Distance Learning ICLR 2023 PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NeurIPS 2023 Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm. 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 Bregman Gradient Policy Optimization ICLR 2022 Bregman Power k-Means for Clustering Exponential Family Data ICML 2022 Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022 Faster Algorithms for Learning Convex Functions ICML 2022 Gradient Based Clustering ICML 2022 Interval-censored Hawkes processes JMLR 2022 LocoProp: Enhancing BackProp via Local Loss Optimization AISTATS 2022 Reconstructing Test Labels from Noisy Loss Functions AISTATS 2022 Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements NeurIPS 2021 Explicit Regularization of Stochastic Gradient Methods through Duality AISTATS 2021 Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation ICML 2021 Parameter-Free Multi-Armed Bandit Algorithms with Hybrid Data-Dependent Regret Bounds COLT 2021 Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families NeurIPS 2021 The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities COLT 2021