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FairWASP: Fast and Optimal Fair Wasserstein Pre-processing., , , , , and . CoRR, (2023)Diagnostics for conditional density models and Bayesian inference algorithms., , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1830-1840. AUAI Press, (2021)Efficient Event Series Data Modeling via First-Order Constrained Optimization., , , , , and . ICAIF, page 463-471. ACM, (2023)Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference., , , , , and . Astron. Comput., (2020)Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings., and . CoRR, (2022)Online Learning for Mixture of Multivariate Hawkes Processes., , , , , , and . ICAIF, page 506-513. ACM, (2022)Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2323-2334. PMLR, (2020)Likelihood-Free Frequentist Inference: Confidence Sets with Correct Conditional Coverage, , , , and . (2021)cite arxiv:2107.03920Comment: 59 pages, 14 figures, code available at https://github.com/Mr8ND/ACORE-LFI.Fair Wasserstein Coresets., , , , and . CoRR, (2023)Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe., , , , , and . CoRR, (2022)