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MCMC methods for univariate exponential family models with intractable normalization constants., и . SSP, стр. 356-359. IEEE, (2014)Three Methods for Training on Bandit Feedback., , и . CoRR, (2019)Machine Learning for Matching Astronomy Catalogues., , , , и . IDEAL, том 3177 из Lecture Notes in Computer Science, стр. 702-707. Springer, (2004)Semiparametric Mean Field Variational Bayes: General Principles and Numerical Issues., и . J. Mach. Learn. Res., (2016)Graphical tools for conditional probabilistic exploration of multivariate spatial datasets., и . Comput. Environ. Urban Syst., 36 (5): 359-370 (2012)A Gentle Introduction to Recommendation as Counterfactual Policy Learning., , , и . UMAP, стр. 392-393. ACM, (2020)Causal Inference, is just Inference: A beautifully simple idea that not everyone accepts.. ICBINB@NeurIPS, том 163 из Proceedings of Machine Learning Research, стр. 75-79. PMLR, (2021)Learning from Bandit Feedback: An Overview of the State-of-the-art., , , , , и . CoRR, (2019)Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks., , , и . CoRR, (2019)On the Value of Bandit Feedback for Offline Recommender System Evaluation., , и . CoRR, (2019)