{"total":19,"rows":[{"id":"2203.15046","title":"AUC Maximization in the Era of Big Data and AI: A Survey","created":"2022-03-28","cited_by_count":100,"area":null},{"id":"2112.05604","title":"Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity","created":"2021-12-10","cited_by_count":49,"area":null},{"id":"2104.08736","title":"Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence","created":"2021-04-18","cited_by_count":35,"area":null},{"id":"2102.04635","title":"Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity","created":"2021-02-09","cited_by_count":21,"area":null},{"id":"2110.04814","title":"Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization","created":"2021-10-10","cited_by_count":12,"area":null},{"id":"2206.00439","title":"Algorithmic Foundations of Empirical X-risk Minimization","created":"2022-06-01","cited_by_count":8,"area":null},{"id":"2210.05995","title":"SGDA with shuffling: faster convergence for nonconvex-P{\\L} minimax optimization","created":"2022-10-12","cited_by_count":8,"area":null},{"id":"2301.02060","title":"A first-order augmented Lagrangian method for constrained minimax optimization","created":"2023-01-05","cited_by_count":8,"area":null},{"id":"2210.09382","title":"Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems","created":"2022-10-17","cited_by_count":7,"area":null},{"id":"2111.02400","title":"Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities","created":"2021-11-01","cited_by_count":6,"area":null},{"id":"2212.02387","title":"An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization","created":"2022-12-05","cited_by_count":6,"area":null},{"id":"2309.10725","title":"Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI","created":"2023-09-19","cited_by_count":6,"area":null},{"id":"2307.15868","title":"Faster Stochastic Algorithms for Minimax Optimization under Polyak--{\\L}ojasiewicz Conditions","created":"2023-07-29","cited_by_count":5,"area":null},{"id":"2309.10399","title":"Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results","created":"2023-09-19","cited_by_count":2,"area":null},{"id":"2401.16991","title":"Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels","created":"2024-01-30","cited_by_count":1,"area":null},{"id":"2403.17530","title":"Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification","created":"2024-03-26","cited_by_count":1,"area":null},{"id":"2305.15776","title":"AUC Optimization from Multiple Unlabeled Datasets","created":"2023-05-25","cited_by_count":0,"area":null},{"id":"2512.22909","title":"A first-order method for nonconvex-strongly-concave constrained minimax optimization","created":"2025-12-28","cited_by_count":0,"area":null},{"id":"2601.01649","title":"Communication-Efficient Federated AUC Maximization with Cyclic Client Participation","created":"2026-01-04","cited_by_count":0,"area":null}],"next_cursor":null}