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Learning to learn by gradient descent by gradient descent., , , , , , and . NIPS, page 3981-3989. (2016)Unbounded Bayesian Optimization via Regularization., , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1168-1176. JMLR.org, (2016)Inductive Principles for Restricted Boltzmann Machine Learning., , , and . AISTATS, volume 9 of JMLR Proceedings, page 509-516. JMLR.org, (2010)Dueling Network Architectures for Deep Reinforcement Learning., , , , , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1995-2003. JMLR.org, (2016)Sample Efficient Actor-Critic with Experience Replay., , , , , , and . ICLR (Poster), OpenReview.net, (2017)"Name That Song!" A Probabilistic Approach to Querying on Music and Text., and . NIPS, page 1505-1512. MIT Press, (2002)Bayesian Policy Learning with Trans-Dimensional MCMC., , , and . NIPS, page 665-672. Curran Associates, Inc., (2007)Toward Practical N2 Monte Carlo: the Marginal Particle Filter., , and . UAI, page 308-315. AUAI Press, (2005)An Entropy Search Portfolio for Bayesian Optimization., , , , and . CoRR, (2014)Regret Bounds for Deterministic Gaussian Process Bandits, , and . CoRR, (2012)