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The Sum-Product Theorem: A Foundation for Learning Tractable Models.

, and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1909-1918. JMLR.org, (2016)

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Recursive Decomposition for Nonconvex Optimization., and . CoRR, (2016)Deep Learning as a Mixed Convex-Combinatorial Optimization Problem., and . CoRR, (2017)Recursive Decomposition for Nonconvex Optimization - IJCAI-15 Distinguished Paper., and . IJCAI, page 253-259. AAAI Press, (2015)On the role of planning in model-based deep reinforcement learning., , , , , , , , , and . CoRR, (2020)Multi-step Planning for Automated Hyperparameter Optimization with OptFormer., , , , and . CoRR, (2022)Modular Meta-Learning with Shrinkage., , , , , , and . CoRR, (2019)Model-Value Inconsistency as a Signal for Epistemic Uncertainty., , , , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 6474-6498. PMLR, (2022)The Sum-Product Theorem and its Applications.. University of Washington, USA, (2017)Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning., , , , and . CoRR, (2023)Submodular Field Grammars: Representation, Inference, and Application to Image Parsing., and . NeurIPS, page 4312-4322. (2018)