Co-occurring keywords · papers mentioning both
Papers
Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms
ACL 2025
Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval
JMLR 2025
Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel–Young Loss Perspective and Gap-Dependent Regret Analysis
AISTATS 2025
Learning with Fitzpatrick Losses
NeurIPS 2024
Online Structured Prediction with Fenchel–Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss
COLT 2024
Unified Binary and Multiclass Margin-Based Classification
JMLR 2024
Learning Energy Networks with Generalized Fenchel-Young Losses
NeurIPS 2022
Sparse Continuous Distributions and Fenchel-Young Losses
JMLR 2022
Learning with Fenchel-Young losses
JMLR 2020
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms
AISTATS 2019