{"total":18,"rows":[{"id":"2307.13565","title":"Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities","created":"2023-07-25","cited_by_count":130,"area":null},{"id":"2112.03609","title":"Decision-Focused Learning: Through the Lens of Learning to Rank","created":"2021-12-07","cited_by_count":62,"area":null},{"id":"2304.06833","title":"Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective","created":"2023-04-13","cited_by_count":20,"area":null},{"id":"2301.12047","title":"Backpropagation of Unrolled Solvers with Folded Optimization","created":"2023-01-28","cited_by_count":13,"area":null},{"id":"2406.17475","title":"Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems","created":"2024-06-25","cited_by_count":3,"area":null},{"id":"2305.14396","title":"FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software","created":"2023-05-23","cited_by_count":2,"area":null},{"id":"2402.07772","title":"End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty","created":"2024-02-12","cited_by_count":2,"area":null},{"id":"2511.06568","title":"Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity","created":"2025-11-09","cited_by_count":2,"area":null},{"id":"2312.17394","title":"Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization","created":"2023-12-28","cited_by_count":1,"area":null},{"id":"2402.05252","title":"Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages","created":"2024-02-07","cited_by_count":1,"area":null},{"id":"2406.00779","title":"Differentiation of Multi-objective Data-driven Decision Pipeline","created":"2024-06-02","cited_by_count":1,"area":null},{"id":"2501.01874","title":"DFF: Decision-Focused Fine-tuning for Smarter Predict-then-Optimize with Limited Data","created":"2025-01-03","cited_by_count":1,"area":null},{"id":"2607.29441","title":"End-to-End Fairness Optimization with Fair Decision-Focused Learning","created":"2026-07-31","cited_by_count":1,"area":null},{"id":"2305.00319","title":"Learning to Re-rank with Constrained Meta-Optimal Transport","created":"2023-04-29","cited_by_count":0,"area":null},{"id":"2310.07047","title":"A predict-and-optimize approach to profit-driven churn prevention","created":"2023-10-10","cited_by_count":0,"area":null},{"id":"2410.17415","title":"End-to-End Optimization and Learning of Fair Court Schedules","created":"2024-10-22","cited_by_count":0,"area":null},{"id":"2509.18067","title":"Learning to Rank with Top-$K$ Fairness","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2511.08035","title":"From Sequential to Recursive: Enhancing Decision-Focused Learning with Bidirectional Feedback","created":"2025-11-11","cited_by_count":0,"area":null}],"next_cursor":null}