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 Yixin Wang, Alp Kucukelbir, Christian Naesseth
12 papers
· 2017–2026
· JMLR, NeurIPS, ICML
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Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes
JMLR 2026
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
JMLR 2026
Hierarchical Causal Models
JMLR 2026
Optimization-based Causal Estimation from Heterogeneous Environments
JMLR 2024
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
NeurIPS 2023
Posterior Collapse and Latent Variable Non-identifiability
NeurIPS 2021
Markovian Score Climbing: Variational Inference with KL(p||q)
NeurIPS 2020
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records
MLHC 2019
Implicit Causal Models for Genome-wide Association Studies
ICLR 2018
Automatic Differentiation Variational Inference
JMLR 2017
Evaluating Bayesian Models with Posterior Dispersion Indices
ICML 2017
Robust Probabilistic Modeling with Bayesian Data Reweighting
ICML 2017
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