David M. Blei
47 papers · 2003–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 19 separate collaboration groups - the largest holds only 26% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which David M. Blei?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Chong Wang, Sean Gerrish, Jordan L. Boyd-graber
10 papers
· 2008–2017
· NeurIPS, JMLR, AISTATS
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Stochastic Gradient Descent as Approximate Bayesian Inference
JMLR 2017
Stochastic Variational Inference
JMLR 2013
How They Vote: Issue-Adjusted Models of Legislative Behavior
NeurIPS 2012
Scalable Inference of Overlapping Communities
NeurIPS 2012
Truncation-free Online Variational Inference for Bayesian Nonparametric Models
NeurIPS 2012
Online Variational Inference for the Hierarchical Dirichlet Process
AISTATS 2011
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
NeurIPS 2009
Reading Tea Leaves: How Humans Interpret Topic Models
NeurIPS 2009
Variational Inference for the Nested Chinese Restaurant Process
NeurIPS 2009
Syntactic Topic Models
NeurIPS 2008
13 papers whose co-authors appear nowhere else under this name
Nonparametric Identifiability of Causal Representations from Unknown Interventions
NeurIPS 2023
Avoiding Latent Variable Collapse with Generative Skip Models
AISTATS 2019
Zero-Inflated Exponential Family Embeddings
ICML 2017
Dirichlet Process Mixtures of Generalized Linear Models
JMLR 2011
Distance Dependent Chinese Restaurant Processes
JMLR 2011
Spatial distance dependent Chinese restaurant processes for image segmentation
NeurIPS 2011
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
NeurIPS 2010
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
NeurIPS 2010
Online Learning for Latent Dirichlet Allocation
NeurIPS 2010
Variational Inference for Adaptor Grammars
NAACL 2010
A Bayesian Analysis of Dynamics in Free Recall
NeurIPS 2009
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
NeurIPS 2008
Supervised Topic Models
NeurIPS 2007