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On the Complexity of Constrained Determinantal Point Processes.

, , , , and . APPROX-RANDOM, volume 81 of LIPIcs, page 36:1-36:22. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)

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The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective., , , and . CoRR, (2020)On the Power of Randomization in Fair Classification and Representation., and . FAccT, page 1542-1551. ACM, (2022)Finding Dense Subgraphs in G(n, 1/2)., , and . WAOA, volume 5893 of Lecture Notes in Computer Science, page 98-103. Springer, (2009)Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks., , , and . NeurIPS, page 27462-27474. (2021)On the Problem of Underranking in Group-Fair Ranking., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3777-3787. PMLR, (2021)Learning and Generalization in Overparameterized Normalizing Flows., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 9430-9504. PMLR, (2022)Sampling-based dimension reduction for subspace approximation., and . STOC, page 641-650. ACM, (2007)Robust k-means++., , and . UAI, volume 124 of Proceedings of Machine Learning Research, page 799-808. AUAI Press, (2020)Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations., , and . NeurIPS, (2023)How Far Can Fairness Constraints Help Recover From Biased Data?, and . ICML, OpenReview.net, (2024)