David M. Blei
44 papers · 2003–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (29) π Interdisciplinary Bridge π Renaissance Researcher (8) π£ Hot Topic Early Bird
π
Conference Polyglot
(8)
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(29)
π
Conference Loyalist
(24)
π
Keyword Trendsetter Combo
(4)
π
Keyword Champion
(10)
π¬
Deep Specialist
(18)
π±
Topic Pioneer
ποΈ
Keyword Collector
(100)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Trend Setter
β
The Questioner
π
Century Club
(44)
π₯
Unstoppable
(7)
Conferences
NIPS (24)
JMLR (9)
AISTATS (3)
ICML (3)
UAI (2)
ICLR (1)
MLHC (1)
NAACL (1)
Top co-authors
Keywords
variational inference
(16)
bayesian nonparametrics
(8)
topic modeling
(7)
bayesian inference
(7)
latent dirichlet allocation
(6)
topic model
(6)
hierarchical dirichlet process
(4)
probabilistic model
(4)
large language model
(4)
latent variable
(4)
probabilistic modeling
(3)
causal inference
(3)
online learning
(3)
dirichlet process
(3)
stochastic optimization
(3)
gibbs sampling
(3)
stochastic blockmodel
(3)
stochastic gradient descent
(2)
hierarchical model
(2)
unsupervised learning
(2)
Papers
EigenVI: score-based variational inference with orthogonal function expansions
NIPS 2024
Amortized Variational Inference: When and Why?
UAI 2024
Optimization-based Causal Estimation from Heterogeneous Environments
JMLR 2024
Hypothesis Testing the Circuit Hypothesis in LLMs
NIPS 2024
Evaluating the Moral Beliefs Encoded in LLMs
NIPS 2023
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
NIPS 2023
Data Augmentations for Improved (Large) Language Model Generalization
NIPS 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions
NIPS 2023
Variational Inference with Gaussian Score Matching
NIPS 2023
Posterior Collapse and Latent Variable Non-identifiability
NIPS 2021
Invariant representation learning for treatment effect estimation
UAI 2021
Markovian Score Climbing: Variational Inference with KL(p||q)
NIPS 2020
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data
AISTATS 2019
Avoiding Latent Variable Collapse with Generative Skip Models
AISTATS 2019
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records
MLHC 2019
Implicit Causal Models for Genome-wide Association Studies
ICLR 2018
Stochastic Gradient Descent as Approximate Bayesian Inference
JMLR 2017
Evaluating Bayesian Models with Posterior Dispersion Indices
ICML 2017
Zero-Inflated Exponential Family Embeddings
ICML 2017
Robust Probabilistic Modeling with Bayesian Data Reweighting
ICML 2017
Automatic Differentiation Variational Inference
JMLR 2017
Stochastic Variational Inference
JMLR 2013
Truncation-free Online Variational Inference for Bayesian Nonparametric Models
NIPS 2012
How They Vote: Issue-Adjusted Models of Legislative Behavior
NIPS 2012
Scalable Inference of Overlapping Communities
NIPS 2012
Spatial distance dependent Chinese restaurant processes for image segmentation
NIPS 2011
Distance Dependent Chinese Restaurant Processes
JMLR 2011
Dirichlet Process Mixtures of Generalized Linear Models
JMLR 2011
Online Variational Inference for the Hierarchical Dirichlet Process
AISTATS 2011
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
NIPS 2010
Online Learning for Latent Dirichlet Allocation
NIPS 2010
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
NIPS 2010
Variational Inference for Adaptor Grammars
NAACL 2010
A Bayesian Analysis of Dynamics in Free Recall
NIPS 2009
Variational Inference for the Nested Chinese Restaurant Process
NIPS 2009
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
NIPS 2009
Reading Tea Leaves: How Humans Interpret Topic Models
NIPS 2009
Mixed Membership Stochastic Blockmodels
JMLR 2008
Syntactic Topic Models
NIPS 2008
Mixed Membership Stochastic Blockmodels
NIPS 2008
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
NIPS 2008
Supervised Topic Models
NIPS 2007
Latent Dirichlet Allocation
JMLR 2003
Matching Words and Pictures
JMLR 2003