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Pre-training helps Bayesian optimization too., , , , , , , , and . CoRR, (2022)Input Warping for Bayesian Optimization of Non-Stationary Functions., , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1674-1682. JMLR.org, (2014)Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One., , , , , and . CoRR, (2019)Exploring and Benchmarking the Planning Capabilities of Large Language Models., , , , , , , , and . CoRR, (2024)Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions., , , and . CoRR, (2015)Estimating the Hessian by Back-propagating Curvature., , and . ICML, icml.cc / Omnipress, (2012)On Autoencoders and Score Matching for Energy Based Models., , , , and . ICML, page 1201-1208. Omnipress, (2011)Meta-Learning for Semi-Supervised Few-Shot Classification., , , , , , , and . ICLR (Poster), OpenReview.net, (2018)Inductive Principles for Restricted Boltzmann Machine Learning., , , and . AISTATS, volume 9 of JMLR Proceedings, page 509-516. JMLR.org, (2010)Learning unbiased features., , and . CoRR, (2014)