Icebreaker: Element-wise efficient information acquisition with a Bayesian deep latent Gaussian modelJan 1, 2019·Wenbo Gong,S Tschiatschek,S Nowozin,RE Turner,JM Hernandez-Lobato,Et Al.· 0 min read PDF Cite Source DocumentTypeConference paperPublicationNeurIPS 2019Last updated on Jan 1, 2019Generative Model Approximate Inference Bayesian Inference Active Learning AuthorsWenbo GongSenior ResearcherSenior Researcher at Microsoft Research Cambridge working on learning dynamics and optimization for foundation models, with prior work on causality and approximate inference. ← Bayesian EDDI: Sequential Variable Selection with Bayesian Partial VAE Jan 1, 2019Meta-learning for stochastic gradient MCMC Jan 1, 2019 →
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