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Probabilistic Data Analysis with Probabilistic Programming.

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Scalable Structure Learning, Inference, and Analysis with Probabilistic Programs. MIT, USA, (2022)A Probabilistic Programming Approach To Probabilistic Data Analysis., и . NIPS, стр. 2011-2019. (2016)Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series., и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 755-764. PMLR, (2018)Estimators of Entropy and Information via Inference in Probabilistic Models., , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 5604-5621. PMLR, (2022)Scalable Spatiotemporal Prediction with Bayesian Neural Fields., , , , , , и . CoRR, (2024)Sequential Monte Carlo Learning for Time Series Structure Discovery., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 29473-29489. PMLR, (2023)Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes., и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 632-641. PMLR, (2017)Probabilistic Data Analysis with Probabilistic Programming., и . CoRR, (2016)The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 1036-1046. PMLR, (2020)A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 1640-1649. PMLR, (2019)