D
David M. Blei
Researcher at Columbia University
Publications - 399
Citations - 122384
David M. Blei is an academic researcher from Columbia University. The author has contributed to research in topics: Inference & Topic model. The author has an hindex of 98, co-authored 378 publications receiving 111547 citations. Previous affiliations of David M. Blei include Columbia University Medical Center & Hewlett-Packard.
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A Bayesian Model of Dose-Response for Cancer Drug Studies
TL;DR: Bayesian tensor filtering (BTF) as mentioned in this paper is a hierarchical Bayesian model for dose-response modeling in multi-sample, multi-treatment cancer drug studies, which uses low-dimensional embeddings to share statistical strength between similar drugs and similar cell lines.
Proceedings Article
Hierarchical Inducing Point Gaussian Process for Inter-domian Observations
Book ChapterDOI
Mixed Membership Classification for Documents with Hierarchically Structured Labels
Edoardo M. Airoldi,David M. Blei,Elena A. Erosheva,Stephen E. Fienberg,Frank Wood,Adler J. Perotte +5 more
TL;DR: 15.15.2015 as discussed by the authors ) is an example of such an approach. But it is not suitable for all scenarios. And it may not work well for some situations: as discussed by the authors
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Profile Predictive Inference.
Alp Kucukelbir,David M. Blei +1 more
TL;DR: The profile predictive, a predictive density that incorporates the population distribution of data into Bayesian inference, is developed and a practical method for reducing the effect of model mismatch is extended into variational inference and a stochastic optimization algorithm is proposed, called bump-vi.
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The Discrete Infinite Logistic Normal Distribution
TL;DR: A stochastic variational inference algorithm for DILN is developed and compared with similar algorithms for HDP and latent Dirichlet allocation on a collection of 350; 000 articles from Nature.