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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)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)Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference., , , , , and . Astron. Comput., (2020)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)Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations., , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3349-3361. PMLR, (2020)Explicit Group Sparse Projection with Applications to Deep Learning and NMF., , , , , and . Trans. Mach. Learn. Res., (2022)Deep Gaussian mixture ensembles., , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 549-559. PMLR, (2023)