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Making individually fair predictions with causal pathways.

, , , and . Data Min. Knowl. Discov., 37 (4): 1327-1373 (2023)

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On maximizing a monotone k-submodular function subject to a matroid constraint.. Discret. Optim., (2017)Algorithmic Bayesian Persuasion with Combinatorial Actions., and . AAAI, page 5016-5024. AAAI Press, (2022)Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions., and . NeurIPS, (2022)Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster L-/L♮-Convex Function Minimization., and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29760-29776. PMLR, (2023)No-Regret M♮-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting., and . CoRR, (2024)Practical Frank-Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games., , and . AAAI, page 2200-2209. AAAI Press, (2020)Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function., , , and . NAACL-HLT, page 1737-1746. Association for Computational Linguistics, (2018)Lazy and Fast Greedy MAP Inference for Determinantal Point Process., , , , and . NeurIPS, (2022)Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications.. AISTATS, volume 130 of Proceedings of Machine Learning Research, page 28-36. PMLR, (2021)Learning Individually Fair Classifier with Causal-Effect Constraint., , and . CoRR, (2020)