{"total":41,"rows":[{"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":"2202.07530","title":"Optimal Algorithms for Stochastic Multi-Level Compositional Optimization","created":"2022-02-15","cited_by_count":17,"area":null},{"id":"2212.13669","title":"Near-Optimal Algorithms for Group Distributionally Robust Optimization and Beyond","created":"2022-12-28","cited_by_count":17,"area":null},{"id":"2207.08540","title":"Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization","created":"2022-07-18","cited_by_count":16,"area":null},{"id":"2210.05740","title":"Stochastic Constrained DRO with a Complexity Independent of Sample Size","created":"2022-10-11","cited_by_count":16,"area":null},{"id":"2502.02797","title":"Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting","created":"2025-02-05","cited_by_count":16,"area":null},{"id":"2502.06733","title":"Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining","created":"2025-02-10","cited_by_count":16,"area":null},{"id":"2210.07588","title":"Distributed Distributionally Robust Optimization with Non-Convex Objectives","created":"2022-10-14","cited_by_count":14,"area":null},{"id":"2402.14270","title":"Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization","created":"2024-02-22","cited_by_count":12,"area":null},{"id":"2302.01248","title":"Robust Markov Decision Processes without Model Estimation","created":"2023-02-02","cited_by_count":11,"area":null},{"id":"2310.03234","title":"Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization","created":"2023-10-05","cited_by_count":10,"area":null},{"id":"2202.04296","title":"A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization","created":"2022-02-09","cited_by_count":8,"area":null},{"id":"2206.00439","title":"Algorithmic Foundations of Empirical X-risk Minimization","created":"2022-06-01","cited_by_count":8,"area":null},{"id":"2403.17592","title":"On the Benefits of Over-parameterization for Out-of-Distribution Generalization","created":"2024-03-26","cited_by_count":7,"area":null},{"id":"2306.07485","title":"Learning Unnormalized Statistical Models via Compositional Optimization","created":"2023-06-13","cited_by_count":6,"area":null},{"id":"2306.09222","title":"Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization","created":"2023-06-15","cited_by_count":6,"area":null},{"id":"2406.01959","title":"Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions","created":"2024-06-04","cited_by_count":6,"area":null},{"id":"2302.09267","title":"Stochastic Approximation Approaches to Group Distributionally Robust Optimization and Beyond","created":"2023-02-18","cited_by_count":4,"area":null},{"id":"2306.00026","title":"Efficient Stochastic Approximation of Minimax Excess Risk Optimization","created":"2023-05-31","cited_by_count":4,"area":null},{"id":"2505.20380","title":"GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2509.24894","title":"Improved Stochastic Optimization of LogSumExp","created":"2025-09-29","cited_by_count":4,"area":null},{"id":"2404.01200","title":"Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization","created":"2024-04-01","cited_by_count":3,"area":null},{"id":"2410.06369","title":"Communication-Efficient Federated Group Distributionally Robust Optimization","created":"2024-10-08","cited_by_count":3,"area":null},{"id":"2205.15624","title":"Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees","created":"2022-05-31","cited_by_count":2,"area":null},{"id":"2308.00311","title":"Doubly Robust Instance-Reweighted Adversarial Training","created":"2023-08-01","cited_by_count":2,"area":null},{"id":"2308.09604","title":"Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization","created":"2023-08-18","cited_by_count":2,"area":null},{"id":"2406.03787","title":"Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization","created":"2024-06-06","cited_by_count":2,"area":null},{"id":"2411.06697","title":"Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise","created":"2024-11-11","cited_by_count":2,"area":null},{"id":"2501.04527","title":"Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training","created":"2025-01-08","cited_by_count":2,"area":null},{"id":"2306.05292","title":"Safe Collaborative Filtering","created":"2023-06-08","cited_by_count":1,"area":null},{"id":"2310.18832","title":"Responsible AI (RAI) Games and Ensembles","created":"2023-10-28","cited_by_count":1,"area":null},{"id":"2404.03759","title":"Localized Distributional Robustness in Submodular Multi-Task Subset Selection","created":"2024-04-04","cited_by_count":1,"area":null},{"id":"2408.12209","title":"Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimization","created":"2024-08-22","cited_by_count":1,"area":null},{"id":"2511.11991","title":"ReCast: Reliability-aware Codebook Assisted Lightweight Time Series Forecasting","created":"2025-11-15","cited_by_count":1,"area":null},{"id":"2602.02877","title":"A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2602.16155","title":"Differentially Private Non-convex Distributionally Robust Optimization","created":"2026-02-18","cited_by_count":1,"area":null},{"id":"2210.06630","title":"Fairness via Adversarial Attribute Neighbourhood Robust Learning","created":"2022-10-12","cited_by_count":0,"area":null},{"id":"2411.01161","title":"Federated Learning with Relative Fairness","created":"2024-11-02","cited_by_count":0,"area":null},{"id":"2601.18115","title":"Robust Learning of a Group DRO Neuron","created":"2026-01-26","cited_by_count":0,"area":null},{"id":"2602.20403","title":"Risk-Averse Wasserstein Distributionally Robust Online Learning","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2610.01599","title":"Convergence Analysis of STORM Under Different Geometries","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":null}