---
title: "David M. Blei — all works, page 2 — Elamur Research"
description: "All 377 works of David M. Blei in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# David M. Blei — all works

377 works · page 2 of 4 · 101–200 · [← David M. Blei](https://md.research.elamur.ai/free/en/authors/david-m-blei/)

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101. **[Variational Sequential Monte Carlo ↗](https://openalex.org/W2964334616) International Conference on Artificial Intelligence and Statistics · no summary yet**Christian A. Naesseth et al.*2018 · 53 citations*
102. **[A Variational Analysis of Stochastic Gradient Algorithms ↗](https://arxiv.org/abs/1602.02666) arXiv (Cornell University) · no summary yet**Stephan Mandt, Matthew D. Hoffman, David M. Blei*2016 · 53 citations*
103. **[Truncation-free Online Variational Inference for Bayesian Nonparametric Models ↗](https://openalex.org/W2123348968) neural information processing systems · no summary yet**Chong Wang, David M. Blei*2012 · 48 citations*
104. **[The Dynamic Embedded Topic Model ↗](https://arxiv.org/abs/1907.05545) arXiv (Cornell University) · no summary yet**Adji Bousso Dieng, Francisco J. R. Ruiz, David M. Blei*2019 · 47 citations*
105. **[Structured Stochastic Variational Inference ↗](https://arxiv.org/abs/1404.4114) arXiv (Cornell University) · no summary yet**Matthew D. Hoffman, David M. Blei*2014 · 47 citations*
106. **[Adjusting for indirectly measured confounding using large-scale propensity score ↗](https://doi.org/10.1016/j.jbi.2022.104204) Journal of Biomedical Informatics · no summary yet**Linying Zhang et al.*2022 · 46 citations*
107. **[Recurrent switching linear dynamical systems ↗](https://arxiv.org/abs/1610.08466) arXiv (Cornell University) · no summary yet**Scott W. Linderman et al.*2016 · 46 citations*
108. **[Nonparametric variational inference ↗](https://arxiv.org/abs/1206.4665) arXiv (Cornell University) · no summary yet**Samuel J. Gershman, Matt Hoffman, David M. Blei*2012 · 46 citations*
109. **[Multilingual Topic Models for Unaligned Text ↗](https://arxiv.org/abs/1205.2657) arXiv (Cornell University) · no summary yet**Jordan Lee Boyd-Graber, David M. Blei*2012 · 46 citations*
110. **[Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ↗](https://arxiv.org/abs/1606.01855) arXiv (Cornell University) · no summary yet**Aaron Schein et al.*2016 · 45 citations*
111. **[Markov Topic Models ↗](https://openalex.org/W153090119) no summary yet**Chong Wang et al.*2009 · 44 citations*
112. **[Prescribed Generative Adversarial Networks ↗](https://arxiv.org/abs/1910.04302) arXiv (Cornell University) · no summary yet**Adji Bousso Dieng et al.*2019 · 40 citations*
113. **[Hierarchical Variational Models ↗](https://arxiv.org/abs/1511.02386) arXiv (Cornell University) · no summary yet**Rajesh Ranganath, Dustin Tran, David M. Blei*2015 · 40 citations*
114. **[A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process ↗](https://arxiv.org/abs/1201.1657) arXiv (Cornell University) · no summary yet**Wang, Chong, David M. Blei*2012 · 40 citations*
115. **[The Deconfounded Recommender: A Causal Inference Approach to Recommendation ↗](https://arxiv.org/abs/1808.06581) arXiv (Cornell University) · no summary yet**Zhaoran Wang et al.*2018 · 39 citations*
116. **[Copula variational inference ↗](https://arxiv.org/abs/1506.03159) arXiv (Cornell University) · no summary yet**Dustin Tran, David M. Blei, Edoardo M. Airoldi*2015 · 38 citations*
117. **[Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span ↗](https://doi.org/10.1186/1471-2105-7-250) BMC Bioinformatics · no summary yet**David M. Blei et al.*2006 · 37 citations*
118. **[Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data ↗](https://doi.org/10.1371/journal.pone.0094914) PLoS ONE · no summary yet**Jeremy R. Manning et al.*2014 · 36 citations*
119. **[Learning with Scope, with Application to Information Extraction and Classification ↗](https://doi.org/10.1184/r1/6555404) arXiv (Cornell University) · no summary yet**David M. Blei, James Andrew Bagnell, Andrew Kachites McCallum*2012 · 36 citations*
120. **[The Inverse Regression Topic Model ↗](https://openalex.org/W2120926292) no summary yet**Maxim Rabinovich, David M. Blei*2014 · 35 citations*
121. **[Truncation-free stochastic variational inference for Bayesian nonparametric models ↗](https://openalex.org/W2564953340) no summary yet**Chong Wang, David M. Blei*2012 · 34 citations*
122. **[A topographic latent source model for fMRI data ↗](https://doi.org/10.1016/j.neuroimage.2011.04.042) NeuroImage · no summary yet**Samuel J. Gershman et al.*2011 · 34 citations*
123. **[Multilingual topic models for unaligned text ↗](https://openalex.org/W7098271916) no summary yet**Olden Street, David M. Blei*2009 · 34 citations*
124. **[The Generalized Reparameterization Gradient ↗](https://arxiv.org/abs/1610.02287) arXiv (Cornell University) · no summary yet**Francisco J. R. Ruiz, Michalis K. Titsias, David M. Blei*2016 · 33 citations*
125. **[Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable ↗](https://openalex.org/W2153034112) no summary yet**Lauren A. Hannah, Warren B. Powell, David M. Blei*2010 · 33 citations*
126. **[Hierarchical maximum entropy density estimation ↗](https://doi.org/10.1145/1273496.1273528) International Conference on Machine Learning · no summary yet**Miroslav Dudı́k, David M. Blei, Robert E. Schapire*2007 · 32 citations*
127. **[Stick-Breaking Beta Processes and the Poisson Process ↗](https://openalex.org/W2204613168) no summary yet**John William Paisley, David M. Blei, Michael I. Jordan*2012 · 30 citations*
128. **[A probabilistic approach to discovering dynamic full-brain functional connectivity patterns ↗](https://doi.org/10.1016/j.neuroimage.2018.01.071) NeuroImage · no summary yet**Jeremy R. Manning et al.*2017 · 29 citations*
129. **[Rationales for Sequential Predictions ↗](https://aclanthology.org/2021.emnlp-main.807/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Keyon Vafa et al.*2021 · 28 citations*
130. **[Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net ↗](https://openalex.org/W2148172612) International Conference on Artificial Intelligence and Statistics · no summary yet**Alexander Lorbert et al.*2010 · 28 citations*
131. **[Posterior Collapse and Latent Variable Non-identifiability ↗](https://arxiv.org/abs/2301.00537) arXiv (Cornell University) · no summary yet**Zhaoran Wang, David M. Blei, John P. Cunningham*2023 · 27 citations*
132. **[The Variational Gaussian Process ↗](https://arxiv.org/abs/1511.06499) arXiv (Cornell University) · no summary yet**Dustin Tran, Rajesh Ranganath, David M. Blei*2015 · 27 citations*
133. **[Variational Inference for Stick-Breaking Beta Process Priors ↗](https://openalex.org/W2219920167) International Conference on Machine Learning · no summary yet**Lawrence Carin, David M. Blei, John William Paisley*2011 · 27 citations*
134. **[Introduction to Mixed Membership Models and Methods ↗](https://doi.org/10.1201/b17520-8) Chapman & Hall/CRC eBooks · no summary yet**Edoardo M. Airoldi et al.*2014 · 26 citations*
135. **[Practical and Asymptotically Exact Conditional Sampling in Diffusion Models ↗](https://doi.org/10.52202/075280-1363) neural information processing systems · no summary yet**Luhuan Wu et al.*2023 · 25 citations*
136. **[The population posterior and Bayesian modeling on streams ↗](https://openalex.org/W2189421284) neural information processing systems · no summary yet**James O. McInerney, Rajesh Ranganath, David M. Blei*2015 · 25 citations*
137. **[Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis ↗](https://doi.org/10.1007/978-3-540-73133-7_5) Springer eBooks · no summary yet**Edoardo M. Airoldi et al.*2008 · 25 citations*
138. **[Using Embeddings to Correct for Unobserved Confounding in Networks ↗](https://arxiv.org/abs/1902.04114) arXiv (Cornell University) · no summary yet**Victor Veitch, Zhaoran Wang, David M. Blei*2019 · 24 citations*
139. **[Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms ↗](https://arxiv.org/abs/1610.05683) arXiv (Cornell University) · no summary yet**Christian A. Naesseth et al.*2016 · 24 citations*
140. **[Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure ↗](https://doi.org/10.1073/pnas.1412301112) Proceedings of the National Academy of Sciences · no summary yet**David Mimno, David M. Blei, Barbara E. Engelhardt*2015 · 23 citations*
141. **[Distance Dependent Infinite Latent Feature Models ↗](https://doi.org/10.1109/tpami.2014.2321387) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Samuel J. Gershman, Peter I. Frazier, David M. Blei*2014 · 23 citations*
142. **[Bayesian Nonnegative Matrix Factorization with Stochastic Variational Inference ↗](https://doi.org/10.1201/b17520-20) Chapman & Hall/CRC eBooks · no summary yet**John William Paisley, David M. Blei, Michael I. Jordan*2014 · 23 citations*
143. **[The Holdout Randomization Test for Feature Selection in Black Box Models ↗](https://doi.org/10.1080/10618600.2021.1923520) Journal of Computational and Graphical Statistics · no summary yet**Wesley Tansey et al.*2021 · 22 citations*
144. **[Counterfactual inference for consumer choice across many product categories ↗](https://doi.org/10.1007/s11129-021-09241-2) Quantitative Marketing and Economics · no summary yet**Robert Donnelly et al.*2019 · 22 citations*
145. **[The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling ↗](https://openalex.org/W2185743839) no summary yet**John William Paisley, Chong Wang, David M. Blei*2011 · 22 citations*
146. **[Dose–response modeling in high-throughput cancer drug screenings: an end-to-end approach ↗](https://doi.org/10.1093/biostatistics/kxaa047) Biostatistics · no summary yet**Wesley Tansey et al.*2018 · 21 citations*
147. **[Dynamic Bernoulli Embeddings for Language Evolution ↗](https://arxiv.org/abs/1703.08052) arXiv (Cornell University) · no summary yet**Maja Rudolph, David M. Blei*2017 · 21 citations*
148. **[Variational Tempering ↗](https://arxiv.org/abs/1411.1810) arXiv (Cornell University) · no summary yet**Stephan Mandt et al.*2014 · 21 citations*
149. **[A Bayesian Analysis of Dynamics in Free Recall ↗](https://openalex.org/W2114352343) no summary yet**Richard Socher et al.*2009 · 21 citations*
150. **[Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation ↗](https://openalex.org/W2148111240) no summary yet**Indraneel Mukherjee, David M. Blei*2008 · 20 citations*
151. **[Implicit Causal Models for Genome-wide Association Studies ↗](https://arxiv.org/abs/1710.10742) arXiv (Cornell University) · no summary yet**Dustin Tran, David M. Blei*2017 · 19 citations*
152. **[The survival filter: joint survival analysis with a latent time series ↗](https://openalex.org/W2402632249) no summary yet**Rajesh Ranganath et al.*2015 · 19 citations*
153. **[Joint representation and visualization of derailed cell states with Decipher ↗](https://doi.org/10.1186/s13059-025-03682-8) Genome biology · no summary yet**Achille Nazaret et al.*2025 · 18 citations*
154. **[Markovian Score Climbing: Variational Inference with KL(p||q) ↗](https://arxiv.org/abs/2003.10374) arXiv (Cornell University) · no summary yet**Christian A. Naesseth, Fredrik Lindsten, David M. Blei*2020 · 18 citations*
155. **[Holdout predictive checks for Bayesian model criticism ↗](https://doi.org/10.1093/jrsssb/qkad105) Journal of the Royal Statistical Society Series B (Statistical Methodology) · no summary yet**Gemma E. Moran, David M. Blei, Rajesh Ranganath*2019 · 18 citations*
156. **[Noisin: Unbiased Regularization for Recurrent Neural Networks ↗](https://arxiv.org/abs/1805.01500) arXiv (Cornell University) · no summary yet**Adji Bousso Dieng et al.*2018 · 18 citations*
157. **[Estimating the Hallucination Rate of Generative AI ↗](https://doi.org/10.52202/079017-0982) neural information processing systems · no summary yet**Andrew Jesson et al.*2024 · 17 citations*
158. **[Conformal Sensitivity Analysis for Individual Treatment Effects ↗](https://doi.org/10.1080/01621459.2022.2102503) Journal of the American Statistical Association · no summary yet**Mingzhang Yin et al.*2022 · 17 citations*
159. **[Decomposing spatiotemporal brain patterns into topographic latent sources ↗](https://doi.org/10.1016/j.neuroimage.2014.04.055) NeuroImage · no summary yet**Samuel J. Gershman et al.*2014 · 17 citations*
160. **[Efficient Online Inference for Bayesian Nonparametric Relational Models ↗](https://openalex.org/W2164773304) no summary yet**Dae Il Kim et al.*2013 · 17 citations*
161. **[Reconstructing the universe with variational self-boosted sampling ↗](https://doi.org/10.1088/1475-7516/2023/03/059) Journal of Cosmology and Astroparticle Physics · no summary yet**Chirag Modi, Yin Li, David M. Blei*2023 · 16 citations*
162. **[Invariant Representation Learning for Treatment Effect Estimation ↗](https://arxiv.org/abs/2011.12379) arXiv (Cornell University) · no summary yet**Claudia Shi, Victor Veitch, David M. Blei*2020 · 16 citations*
163. **[Objective Variables for Probabilistic Revenue Maximization in Second-Price Auctions with Reserve ↗](https://doi.org/10.1145/2872427.2883051) International World Wide Web Conference (WWW) · no summary yet**Maja Rudolph, Joseph G. Ellis, David M. Blei*2016 · 15 citations*
164. **[Overdispersed Black-Box Variational Inference ↗](https://arxiv.org/abs/1603.01140) arXiv (Cornell University) · no summary yet**Francisco J. R. Ruiz, Michalis K. Titsias, David M. Blei*2016 · 15 citations*
165. **[MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification ↗](https://openalex.org/W7099239060) no summary yet**Jun Zhu et al.*2009 · 15 citations*
166. **[Hierarchical Mixed Membership Stochastic Blockmodels for Multiple Networks and Experimental Interventions ↗](https://doi.org/10.1201/b17520-29) no summary yet**Edoardo M. Airoldi et al.*2014 · 14 citations*
167. **[Modeling Overlapping Communities with Node Popularities ↗](https://openalex.org/W2118085414) no summary yet**Prem Gopalan, Chong Wang, David M. Blei*2013 · 14 citations*
168. **[Nonparametric Identifiability of Causal Representations from Unknown Interventions ↗](https://doi.org/10.52202/075280-2110) neural information processing systems · no summary yet**Julius von Kügelgen et al.*2023 · 13 citations*
169. **[Heterogeneous Supervised Topic Models ↗](https://aclanthology.org/2022.tacl-1.42/) Transactions of the Association for Computational Linguistics · no summary yet**Dhanya Sridhar, Hal Daumé III, David Blei*2022 · 13 citations*
170. **[Towards Clarifying the Theory of the Deconfounder ↗](https://arxiv.org/abs/2003.04948) arXiv (Cornell University) · no summary yet**Zhaoran Wang, David M. Blei*2020 · 13 citations*
171. **[Detecting and Characterizing Events ↗](https://aclanthology.org/D16-1122/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Allison Chaney et al.*2016 · 13 citations*
172. **[Real-time Topic Models for Crisis Counseling ↗](https://openalex.org/W2186654215) no summary yet**Karthik Dinakar et al.*2014 · 13 citations*
173. **[Context Selection for Embedding Models ↗](https://openalex.org/W2751875615) Cambridge University Engineering Department Publications Database · no summary yet**Liping Liu et al.*2017 · 12 citations*
174. **[Variational Inference via χ Upper Bound Minimization ↗](https://arxiv.org/abs/1611.00328) arXiv (Cornell University) · no summary yet**Adji Bousso Dieng et al.*2016 · 12 citations*
175. **[Poisson-Randomized Gamma Dynamical Systems ↗](https://arxiv.org/abs/1910.12991) arXiv (Cornell University) · no summary yet**Aaron Schein et al.*2019 · 11 citations*
176. **[Equation Embeddings ↗](https://arxiv.org/abs/1803.09123) arXiv (Cornell University) · no summary yet**Kriste Krstovski, David M. Blei*2018 · 11 citations*
177. **[Correlated Random Measures ↗](https://doi.org/10.1080/01621459.2016.1260468) Journal of the American Statistical Association · no summary yet**Rajesh Ranganath, David M. Blei*2016 · 11 citations*
178. **[TagLDA: Bringing a document structure knowledge into topic models ↗](https://openalex.org/W2898986748) no summary yet**Xiaojin Zhu, David M. Blei, John Lafferty*2006 · 11 citations*
179. **[Hypothesis Testing the Circuit Hypothesis in LLMs ↗](https://doi.org/10.52202/079017-2997) neural information processing systems · no summary yet**Claudia Shi et al.*2024 · 10 citations*
180. **[The Blessings of Multiple Causes: Rejoinder ↗](https://doi.org/10.1080/01621459.2019.1690841) Journal of the American Statistical Association · no summary yet**Zhaoran Wang, David M. Blei*2019 · 10 citations*
181. **[Equal Opportunity and Affirmative Action via Counterfactual Predictions ↗](https://arxiv.org/abs/1905.10870) arXiv (Cornell University) · no summary yet**Zhaoran Wang, Dhanya Sridhar, David M. Blei*2019 · 10 citations*
182. **[Hierarchical topographic factor analysis ↗](https://doi.org/10.1109/prni.2014.6858530) International Workshop on Pattern Recognition in NeuroImaging · no summary yet**Jeremy R. Manning et al.*2014 · 10 citations*
183. **[Jordan Boyd-Graber, David Mimno, and David Newman. Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements. Handbook of Mixed Membership Models and Their Applications, 2014. ↗](https://openalex.org/W2338001230) no summary yet**Boca Raton et al.*2014 · 10 citations*
184. **[Causal fairness assessment of treatment allocation with electronic health records ↗](https://doi.org/10.1016/j.jbi.2024.104656) Journal of Biomedical Informatics · no summary yet**Linying Zhang et al.*2022 · 9 citations*
185. **[The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records ↗](https://arxiv.org/abs/1904.02098) arXiv (Cornell University) · no summary yet**Linying Zhang et al.*2019 · 9 citations*
186. **[Interpreting Mixed Membership Models: Implications of Erosheva’s Representation Theorem ↗](https://doi.org/10.1201/b17520-5) no summary yet**Edoardo M. Airoldi et al.*2014 · 9 citations*
187. **[Smoothed Gradients for Stochastic Variational Inference ↗](https://arxiv.org/abs/1406.3650) arXiv (Cornell University) · no summary yet**Stephan Mandt, David M. Blei*2014 · 9 citations*
188. **[Mixed membership analysis of high-throughput interaction studies: Relational data ↗](https://arxiv.org/abs/0706.0294) arXiv (Cornell University) · no summary yet**Edoardo M. Airoldi et al.*2007 · 9 citations*
189. **[Data Augmentations for Improved (Large) Language Model Generalization ↗](https://doi.org/10.52202/075280-3096) neural information processing systems · no summary yet**Amir Feder et al.*2023 · 8 citations*
190. **[Multiple Causes: A Causal Graphical View ↗](https://arxiv.org/abs/1905.12793) arXiv (Cornell University) · no summary yet**Zhaoran Wang, David M. Blei*2019 · 8 citations*
191. **[Connections between the Lines: Augmenting Social Networks with Text ↗](https://openalex.org/W7100543051) no summary yet**Jonathan Chang, David M. Blei*2009 · 8 citations*
192. **[Bayesian Spectral Matching: Turning Young MC into MC Hammer via MCMC Sampling ↗](http://hdl.handle.net/2027/spo.bbp2372.2009.037) no summary yet**Matthew D. Hoffman, Perry R. Cook, David M. Blei*2009 · 8 citations*
193. **[An Invariant Learning Characterization of Controlled Text Generation ↗](https://aclanthology.org/2023.acl-long.179/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Carolina Zheng et al.*2023 · 7 citations*
194. **[Starfysh reveals heterogeneous spatial dynamics in the breast tumor microenvironment ↗](https://doi.org/10.1101/2022.11.21.517420) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Siyu He et al.*2022 · 7 citations*
195. **[Optimization-based Causal Estimation from Heterogenous Environments ↗](https://arxiv.org/abs/2109.11990) arXiv (Cornell University) · no summary yet**Mingzhang Yin, Zhaoran Wang, David M. Blei*2021 · 7 citations*
196. **[General linear-time inference for Gaussian Processes on one dimension. ↗](http://dblp.uni-trier.de/db/journals/corr/corr2003.html#abs-2003-05554) arXiv (Cornell University) · no summary yet**Jackson Loper et al.*2020 · 7 citations*
197. **[Structured Embedding Models for Grouped Data ↗](https://arxiv.org/abs/1709.10367) arXiv (Cornell University) · no summary yet**Maja Rudolph et al.*2017 · 7 citations*
198. **[Uncovering, understanding, and predicting links ↗](https://openalex.org/W2259123132) no summary yet**David M. Blei, Jonathan Chang*2011 · 7 citations*
199. **[Amortized Variational Inference: When and Why? ↗](https://arxiv.org/abs/2307.11018) arXiv (Cornell University) · no summary yet**Charles C. Margossian, David M. Blei*2023 · 6 citations*
200. **[The Posterior Predictive Null ↗](https://doi.org/10.1214/22-ba1313) Bayesian Analysis · no summary yet**Gemma E. Moran, John P. Cunningham, David M. Blei*2022 · 6 citations*

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