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Learning Branching Heuristics for Propositional Model Counting., , , , , , , and . CoRR, (2020)Sandwiching the marginal likelihood using bidirectional Monte Carlo., , and . CoRR, (2015)Unsupervised learning of hierarchical representations with convolutional deep belief networks., , , and . Commun. ACM, 54 (10): 95-103 (2011)Discovering and Exploiting Additive Structure for Bayesian Optimization., , , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1311-1319. PMLR, (2017)On the Quantitative Analysis of Decoder-Based Generative Models., , , and . ICLR (Poster), OpenReview.net, (2017)Distributed Second-Order Optimization using Kronecker-Factored Approximations., , and . ICLR (Poster), OpenReview.net, (2017)Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions., , , , and . ICLR (Poster), OpenReview.net, (2019)Aggregated Momentum: Stability Through Passive Damping., , , and . ICLR (Poster), OpenReview.net, (2019)INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving., , , and . CoRR, (2020)Learning to Give Checkable Answers with Prover-Verifier Games., , , and . CoRR, (2021)