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Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint.

, , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 145-153. PMLR, (2021)

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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)Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio., and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2042-2051. PMLR, (2019)Greedy and IHT Algorithms for Non-convex Optimization with Monotone Costs of Non-zeros.. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 206-215. PMLR, (2019)Making individually fair predictions with causal pathways., , , and . Data Min. Knowl. Discov., 37 (4): 1327-1373 (2023)Submodular Function Maximization Over Graphs via Zero-Suppressed Binary Decision Diagrams., , and . AAAI, page 1422-1430. AAAI Press, (2018)Differentiable Equilibrium Computation with Decision Diagrams for Stackelberg Models of Combinatorial Congestion Games., and . NeurIPS, page 9416-9428. (2021)