David M. Blei
Identifiers
- name variant David M. Blei 0.60 · backfill
Papers (70)
- Robust Representation Learning through Explicit Environment Modeling stat.ML · 2026 · author #2
- Neural Generalized Mixed-Effects Models stat.ML · 2026 · author #3
- The Illusion of Learning from Observational Data: An Empirical Bayes Perspective stat.ME · 2026 · author #4
- Topic Modeling in Embedding Spaces cs.IR · 2019 · author #3
- Multiple Causes: A Causal Graphical View stat.ML · 2019 · author #2
- Equal Opportunity and Affirmative Action via Counterfactual Predictions stat.ML · 2019 · author #3
- Using Embeddings to Correct for Unobserved Confounding in Networks stat.ML · 2019 · author #3
- A Probabilistic Model of Cardiac Physiology and Electrocardiograms stat.ML · 2018 · author #3
- The Deconfounded Recommender: A Causal Inference Approach to Recommendation cs.IR · 2018 · author #4
- Avoiding Latent Variable Collapse With Generative Skip Models stat.ML · 2018 · author #4
- Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data stat.ML · 2018 · author #4
- Black Box FDR stat.ML · 2018 · author #3
- The Blessings of Multiple Causes stat.ML · 2018 · author #2
- Noisin: Unbiased Regularization for Recurrent Neural Networks stat.ML · 2018 · author #4
- Equation Embeddings stat.ML · 2018 · author #2
- Augment and Reduce: Stochastic Inference for Large Categorical Distributions stat.ML · 2018 · author #4
- SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements stat.ML · 2017 · author #3
- Implicit Causal Models for Genome-wide Association Studies stat.ML · 2017 · author #2
- Variational Sequential Monte Carlo stat.ML · 2017 · author #4
- Proximity Variational Inference stat.ML · 2017 · author #3
- Stochastic Gradient Descent as Approximate Bayesian Inference stat.ML · 2017 · author #3
- Hierarchical Implicit Models and Likelihood-Free Variational Inference stat.ML · 2017 · author #3
- Deep Probabilistic Programming stat.ML · 2017 · author #6
- Variational Inference via $\chi$-Upper Bound Minimization stat.ML · 2016 · author #5
- Edward: A library for probabilistic modeling, inference, and criticism stat.CO · 2016 · author #6
- Operator Variational Inference stat.ML · 2016 · author #4
- Recurrent switching linear dynamical systems stat.ML · 2016 · author #4
- The Generalized Reparameterization Gradient stat.ML · 2016 · author #3
- Discussion of "Fast Approximate Inference for Arbitrarily Large Semiparametric Regression Models via Message Passing" stat.CO · 2016 · author #2
- Exponential Family Embeddings stat.ML · 2016 · author #4
- Robust Probabilistic Modeling with Bayesian Data Reweighting stat.ML · 2016 · author #3
- Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations stat.ML · 2016 · author #3
- Posterior Dispersion Indices stat.ML · 2016 · author #2
- Overdispersed Black-Box Variational Inference stat.ML · 2016 · author #3
- Automatic Differentiation Variational Inference stat.ML · 2016 · author #5
- A Variational Analysis of Stochastic Gradient Algorithms stat.ML · 2016 · author #3
- Variational Inference: A Review for Statisticians stat.CO · 2016 · author #1
- The Variational Gaussian Process stat.ML · 2015 · author #3
- Hierarchical Variational Models stat.ML · 2015 · author #3
- Modeling User Exposure in Recommendation stat.ML · 2015 · author #4
- A General Method for Robust Bayesian Modeling stat.ML · 2015 · author #2
- Dynamic Poisson Factorization cs.LG · 2015 · author #4
- The Population Posterior and Bayesian Inference on Streams stat.ML · 2015 · author #3
- Objective Variables for Probabilistic Revenue Maximization in Second-Price Auctions with Reserve stat.ML · 2015 · author #3
- Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts stat.ML · 2015 · author #3
- Automatic Variational Inference in Stan stat.ML · 2015 · author #4
- Copula variational inference stat.ML · 2015 · author #2
- Deep Exponential Families stat.ML · 2014 · author #4
- Population Empirical Bayes stat.ML · 2014 · author #2
- Structured Stochastic Variational Inference cs.LG · 2014 · author #2
- Black Box Variational Inference stat.ML · 2013 · author #3
- Scalable Recommendation with Poisson Factorization cs.IR · 2013 · author #3
- Nested Hierarchical Dirichlet Processes stat.ML · 2012 · author #3
- The Issue-Adjusted Ideal Point Model stat.ML · 2012 · author #2
- Variational Inference in Nonconjugate Models stat.ML · 2012 · author #2
- A Bayesian Boosting Model stat.ML · 2012 · author #2
- Stochastic Variational Inference stat.ML · 2012 · author #2
- A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process stat.ML · 2012 · author #2
- Distance Dependent Infinite Latent Feature Models stat.ML · 2011 · author #3
- A Tutorial on Bayesian Nonparametric Models stat.ML · 2011 · author #2
- Stochastic Search with an Observable State Variable math.OC · 2010 · author #3
- Supervised Topic Models stat.ML · 2010 · author #1
- Syntactic Topic Models cs.CL · 2010 · author #2
- Distance Dependent Chinese Restaurant Processes stat.ML · 2009 · author #1
- Dirichlet Process Mixtures of Generalized Linear Models stat.ML · 2009 · author #2
- Hierarchical relational models for document networks stat.AP · 2009 · author #2
- Visualizing Topics with Multi-Word Expressions stat.ML · 2009 · author #1
- Correction: A correlated topic model of Science stat.AP · 2007 · author #1
- The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies stat.ML · 2007 · author #1
- A correlated topic model of Science stat.AP · 2007 · author #1
Mentions
- 1404.4114 #2 · backfill · confidence 0.70 David M. Blei
- 1401.0118 #3 · backfill · confidence 0.70 David M. Blei
- 1311.1704 #3 · backfill · confidence 0.70 David M. Blei
- 1210.6738 #3 · backfill · confidence 0.70 David M. Blei
- 1209.6004 #2 · backfill · confidence 0.70 David M. Blei
- 1209.4360 #2 · backfill · confidence 0.70 David M. Blei
- 1209.1996 #2 · backfill · confidence 0.70 David M. Blei
- 1206.7051 #2 · backfill · confidence 0.70 David M. Blei
- 1201.1657 #2 · backfill · confidence 0.70 David M. Blei
- 1110.5454 #3 · backfill · confidence 0.70 David M. Blei
- 1106.2697 #2 · backfill · confidence 0.70 David M. Blei
- 1006.4338 #3 · backfill · confidence 0.70 David M. Blei
- 1003.0783 #1 · backfill · confidence 0.70 David M. Blei
- 1002.4665 #2 · backfill · confidence 0.70 David M. Blei
- 0910.1022 #1 · backfill · confidence 0.70 David M. Blei
- 0909.5194 #2 · backfill · confidence 0.70 David M. Blei
- 0909.4331 #2 · backfill · confidence 0.70 David M. Blei
- 0907.1013 #1 · backfill · confidence 0.70 David M. Blei
- 0712.1486 #1 · backfill · confidence 0.70 David M. Blei
- 0710.0845 #1 · backfill · confidence 0.70 David M. Blei
- 0708.3601 #1 · backfill · confidence 0.70 David M. Blei
Frequent Coauthors
- Rajesh Ranganath 14 shared papers
- Dustin Tran 11 shared papers
- Alp Kucukelbir 7 shared papers
- Yixin Wang 7 shared papers
- Adji B. Dieng 6 shared papers
- Francisco J. R. Ruiz 6 shared papers
- Chong Wang 5 shared papers
- John Paisley 4 shared papers
- Laurent Charlin 4 shared papers
- Matthew D. Hoffman 4 shared papers
- Dawen Liang 3 shared papers
- Jaan Altosaar 3 shared papers
- James McInerney 3 shared papers
- John D. Lafferty 3 shared papers
- Michalis K. Titsias 3 shared papers
- Stephan Mandt 3 shared papers
- Aaron Schein 2 shared papers
- Andrew C. Miller 2 shared papers
- Andrew Gelman 2 shared papers
- Hanna Wallach 2 shared papers