---
title: "David M. Blei — all works, page 3 — 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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# David M. Blei — all works

377 works · page 3 of 4 · 201–300 · [← David M. Blei](https://md.research.elamur.ai/free/en/authors/david-m-blei/)

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201. **[CAREER: A Foundation Model for Labor Sequence Data ↗](https://arxiv.org/abs/2202.08370) RePEc: Research Papers in Economics · no summary yet**Keyon Vafa et al.*2022 · 6 citations*
202. **[Learning with Reflective Likelihoods ↗](https://openalex.org/W2909379646) no summary yet**Adji Bousso Dieng et al.*2018 · 6 citations*
203. **[Model Criticism for Bayesian Causal Inference ↗](https://arxiv.org/abs/1610.09037) arXiv (Cornell University) · no summary yet**Dustin Tran et al.*2016 · 6 citations*
204. **[Reweighted Data for Robust Probabilistic Models ↗](https://arxiv.org/abs/1606.03860) arXiv (Cornell University) · no summary yet**Zhaoran Wang, Alp Kucukelbir, David M. Blei*2016 · 6 citations*
205. **[Handbook of mixed membership models and their applications ↗](https://openalex.org/W7000640045) CERN Document Server (European Organization for Nuclear Research) · no summary yet**Edoardo M. Airoldi et al.*2014 · 6 citations*
206. **[Applications of latent variable models in modeling influence and decision making ↗](https://openalex.org/W56307640) no summary yet**David M. Blei, Sean Gerrish*2013 · 6 citations*
207. **[Discussion on the paper by Handcock, Raftery and Tantrum ↗](https://openalex.org/W2154736758) University of Groningen research database (University of Groningen / Centre for Information Technology) · no summary yet**TAB Snijders et al.*2007 · 6 citations*
208. **[Computational Analysis and Visualized Comparison of Style in American Poetry ↗](https://openalex.org/W2288793237) no summary yet**David M. Kaplan, David M. Blei*2006 · 6 citations*
209. **[Estimating Social Influence from Observational Data ↗](https://arxiv.org/abs/2204.01633) arXiv (Cornell University) · no summary yet**Dhanya Sridhar, Caterina De Bacco, David M. Blei*2022 · 5 citations*
210. **[Identifiable Variational Autoencoders via Sparse Decoding. ↗](https://arxiv.org/abs/2110.10804) arXiv (Cornell University) · no summary yet**Gemma E. Moran et al.*2021 · 5 citations*
211. **[Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections ↗](https://doi.org/10.1145/3442381.3449800) no summary yet**Aaron Schein et al.*2021 · 5 citations*
212. **[A Digital Field Experiment Reveals Large Effects of Friend-to-Friend Texting on Voter Turnout ↗](https://doi.org/10.2139/ssrn.3696179) SSRN Electronic Journal · no summary yet**Aaron Schein et al.*2020 · 5 citations*
213. **[Augment and Reduce: Stochastic Inference for Large Categorical Distributions ↗](https://arxiv.org/abs/1802.04220) arXiv (Cornell University) · no summary yet**Francisco J. R. Ruiz et al.*2018 · 5 citations*
214. **[Zero-Inflated Exponential Family Embeddings ↗](https://openalex.org/W2741977875) International Conference on Machine Learning · no summary yet**Liping Liu, David M. Blei*2017 · 5 citations*
215. **[A Tale of Two (Types of) Memberships: Comparing Mixed and Partial Membership with a Continuous Data Example ↗](https://doi.org/10.1201/b17520-4) no summary yet**Edoardo M. Airoldi et al.*2014 · 5 citations*
216. **[A Nested HDP for Hierarchical Topic Models ↗](https://arxiv.org/abs/1301.3570) arXiv (Cornell University) · no summary yet**John William Paisley et al.*2013 · 5 citations*
217. **[Linguistic extensions of topic models ↗](https://openalex.org/W24083617) ProQuest LLC eBooks · no summary yet**David M. Blei, Jordan Lee Boyd-Graber*2010 · 5 citations*
218. **[Estimating wage disparities using foundation models ↗](https://doi.org/10.1073/pnas.2427298122) Proceedings of the National Academy of Sciences · no summary yet**Keyon Vafa, Susan Carleton Athey, David M. Blei*2025 · 4 citations*
219. **[A Bayesian model of underreporting for sexual assault on college campuses ↗](https://doi.org/10.1214/24-aoas1928) The Annals of Applied Statistics · no summary yet**Casey Bradshaw, David M. Blei*2024 · 4 citations*
220. **[Batch and match: black-box variational inference with a score-based divergence ↗](https://arxiv.org/abs/2402.14758) arXiv (Cornell University) · no summary yet**Diana Cai et al.*2024 · 4 citations*
221. **[Hierarchical Causal Models ↗](https://arxiv.org/abs/2401.05330) arXiv (Cornell University) · no summary yet**Eli N. Weinstein, David M. Blei*2024 · 4 citations*
222. **[Stable Differentiable Causal Discovery ↗](https://arxiv.org/abs/2311.10263) arXiv (Cornell University) · no summary yet**Achille Nazaret et al.*2023 · 4 citations*
223. **[Mapping interstellar dust with Gaussian processes ↗](https://doi.org/10.1214/22-aoas1608) The Annals of Applied Statistics · no summary yet**Andrew C. Miller et al.*2022 · 4 citations*
224. **[Probabilistic Conformal Prediction Using Conditional Random Samples ↗](https://arxiv.org/abs/2206.06584) arXiv (Cornell University) · no summary yet**Zhendong Wang et al.*2022 · 4 citations*
225. **[A Bayesian model of dose-response for cancer drug studies ↗](https://doi.org/10.1214/21-aoas1485) The Annals of Applied Statistics · no summary yet**Wesley Tansey, Christopher Tosh, David M. Blei*2019 · 4 citations*
226. **[Variational Bayes under Model Misspecification ↗](https://arxiv.org/abs/1905.10859) arXiv (Cornell University) · no summary yet**Zhaoran Wang, David M. Blei*2019 · 4 citations*
227. **[Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data ↗](https://arxiv.org/abs/1806.10701) arXiv (Cornell University) · no summary yet**Victor Veitch et al.*2018 · 4 citations*
228. **[The Population Posterior and Bayesian Inference on Streams ↗](https://arxiv.org/abs/1507.05253) arXiv (Cornell University) · no summary yet**McInerney, James, Rajesh Ranganath, David M. Blei*2015 · 4 citations*
229. **[Population empirical Bayes ↗](https://openalex.org/W2963986141) Uncertainty in Artificial Intelligence · no summary yet**Alp Kucukelbir, David M. Blei*2015 · 4 citations*
230. **[The Issue-Adjusted Ideal Point Model ↗](https://arxiv.org/abs/1209.6004) arXiv (Cornell University) · no summary yet**Sean Gerrish, David M. Blei*2012 · 4 citations*
231. **[Introduction to probabilistic topic models ↗](https://openalex.org/W7101091910) no summary yet**David M. Blei*2011 · 4 citations*
232. **[Distance Dependent Infinite Latent Feature Models ↗](https://arxiv.org/abs/1110.5454) arXiv (Cornell University) · no summary yet**Samuel J. Gershman, Peter I. Frazier, David M. Blei*2011 · 4 citations*
233. **[The Stick-Breaking Construction of the Beta Process as a Poisson Process ↗](https://arxiv.org/abs/1109.0343) arXiv (Cornell University) · no summary yet**John William Paisley, David M. Blei, Michael I. Jordan*2011 · 4 citations*
234. **[Variational Inference with Gaussian Score Matching ↗](https://doi.org/10.52202/075280-1304) neural information processing systems · no summary yet**Chirag Modi et al.*2023 · 3 citations*
235. **[Density Uncertainty Layers for Reliable Uncertainty Estimation ↗](https://arxiv.org/abs/2306.12497) arXiv (Cornell University) · no summary yet**Yookoon Park, David M. Blei*2023 · 3 citations*
236. **[A general linear-time inference method for Gaussian Processes on one dimension ↗](https://openalex.org/W3206818852) Journal of Machine Learning Research · no summary yet**Jackson Loper et al.*2021 · 3 citations*
237. **[Double Empirical Bayes Testing ↗](https://doi.org/10.1111/insr.12430) International Statistical Review · no summary yet**Wesley Tansey et al.*2020 · 3 citations*
238. **[Technical perspective: Expressive probabilistic models and scalable method of moments ↗](https://doi.org/10.1145/3186260) Communications of the ACM · no summary yet**David M. Blei*2018 · 3 citations*
239. **[Evaluating Bayesian Models with Posterior Dispersion Indices ↗](https://openalex.org/W2740945067) International Conference on Machine Learning · no summary yet**Alp Kucukelbir, Zhaoran Wang, David M. Blei*2017 · 3 citations*
240. **[A Filtering Approach to Stochastic Variational Inference ↗](https://openalex.org/W2124450745) no summary yet**Neil Houlsby, David M. Blei*2015 · 3 citations*
241. **[A Bayesian Boosting Model ↗](https://arxiv.org/abs/1209.1996) arXiv (Cornell University) · no summary yet**Alexander Lorbert et al.*2012 · 3 citations*
242. **[Dirichlet Process Mixtures of Generalized Linear Models ↗](https://arxiv.org/abs/0909.5194) arXiv (Cornell University) · no summary yet**Lauren A. Hannah, David M. Blei, Warren B. Powell*2009 · 3 citations*
243. **[Multi-Domain Empirical Bayes for Linearly-Mixed Causal Representations ↗](https://arxiv.org/abs/2603.18404) arXiv (Cornell University) · no summary yet**Bohan Wu, Julius von Kügelgen, David M. Blei*2026 · 2 citations*
244. **[Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees ↗](https://doi.org/10.52202/079017-3756) neural information processing systems · no summary yet**Nicolas Beltran-Velez et al.*2024 · 2 citations*
245. **[Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees ↗](https://arxiv.org/abs/2406.07658) arXiv (Cornell University) · no summary yet**Nicolas Beltran-Velez et al.*2024 · 2 citations*
246. **[Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport ↗](https://arxiv.org/abs/2202.01841) UvA-DARE (University of Amsterdam) · no summary yet**Liyi Zhang, David M. Blei, Christian A. Naesseth*2022 · 2 citations*
247. **[On the Assumptions of Synthetic Control Methods ↗](https://arxiv.org/abs/2112.05671) RePEc: Research Papers in Economics · no summary yet**Claudia Shi et al.*2021 · 2 citations*
248. **[Scalable Topic Modeling: Online Learning, Diagnostics, and Recommendation ↗](https://openalex.org/W2623647148) no summary yet**David M. Blei*2017 · 2 citations*
249. **[Variational inference with copula augmentation. ↗](https://openalex.org/W2296242069) no summary yet**Dustin Tran, David M. Blei, Edoardo M. Airoldi*2015 · 2 citations*
250. **[Vouros. Non-parametric estimation of topic hierarchies from texts with hierarchical dirichlet processes ↗](https://openalex.org/W7095732870) no summary yet**Elias Zavitsanos et al.*2011 · 2 citations*
251. **[Hierarchical Bayesian Models for Applications in Information retrieval ↗](https://openalex.org/W7095674263) no summary yet**J. M. Bernardo et al.*2003 · 2 citations*
252. **[Neural Generalized Mixed-Effects Models ↗](https://arxiv.org/abs/2604.10976) arXiv (Cornell University) · no summary yet**Yuli Slavutsky, Sebastian Salazar, David M. Blei*2026 · 1 citation*
253. **[Robust Representation Learning through Explicit Environment Modeling ↗](https://arxiv.org/abs/2604.26128) arXiv (Cornell University) · no summary yet**Yuli Slavutsky, David M. Blei*2026 · 1 citation*
254. **[Bayesian Empirical Bayes: Simultaneous Inference from Probabilistic Symmetries ↗](https://arxiv.org/abs/2512.16239) arXiv (Cornell University) · no summary yet**Wu, Bohan, Weinstein, Eli N., David M. Blei*2025 · 1 citation*
255. **[Quantifying Uncertainty in the Presence of Distribution Shifts ↗](https://arxiv.org/abs/2506.18283) arXiv (Cornell University) · no summary yet**Yuli Slavutsky, David M. Blei*2025 · 1 citation*
256. **[EigenVI: score-based variational inference with orthogonal function expansions ↗](https://doi.org/10.52202/079017-4218) neural information processing systems · no summary yet**Diana Cai et al.*2024 · 1 citation*
257. **[Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective ↗](https://arxiv.org/abs/2412.06033) arXiv (Cornell University) · no summary yet**Andrew Jesson, Nicolas Beltran-Velez, David M. Blei*2024 · 1 citation*
258. **[Estimating the Causal Effects of T Cell Receptors ↗](https://arxiv.org/abs/2410.14127) arXiv (Cornell University) · no summary yet**Eli N. Weinstein, Elizabeth Wood, David M. Blei*2024 · 1 citation*
259. **[Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation ↗](https://arxiv.org/abs/2404.09113) arXiv (Cornell University) · no summary yet**Bo-Han Wu, David M. Blei*2024 · 1 citation*
260. **[azizilab/starfysh: STARFYSH ↗](https://doi.org/10.5281/zenodo.7342797) Zenodo (CERN European Organization for Nuclear Research) · no summary yet**Siyu He et al.*2022 · 1 citation*
261. **[Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse ↗](https://arxiv.org/abs/2207.09535) arXiv (Cornell University) · no summary yet**Sachit Menon, David M. Blei, Carl Vondrick*2022 · 1 citation*
262. **[Variational Inference for Infinitely Deep Neural Networks ↗](https://arxiv.org/abs/2209.10091) arXiv (Cornell University) · no summary yet**Achille Nazaret, David M. Blei*2022 · 1 citation*
263. **[A Proxy Variable View of Shared Confounding ↗](https://openalex.org/W3167228372) International Conference on Machine Learning · no summary yet**Zhaoran Wang, David M. Blei*2021 · 1 citation*
264. **[Hierarchical Inducing Point Gaussian Process for Inter-domian Observations ↗](https://openalex.org/W3157084499) International Conference on Artificial Intelligence and Statistics · no summary yet**Luhuan Wu et al.*2021 · 1 citation*
265. **[The Blessings of Multiple Causes: A Reply to Ogburn et al. (2019) ↗](https://arxiv.org/abs/1910.07320) arXiv (Cornell University) · no summary yet**Zhaoran Wang, David M. Blei*2019 · 1 citation*
266. **[Noise-Based Regularizers for Recurrent Neural Networks ↗](https://openalex.org/W2786043755) no summary yet**Adji Bousso Dieng et al.*2018 · 1 citation*
267. **[The Markov link method: a nonparametric approach to combine observations from multiple experiments ↗](https://doi.org/10.1101/457283) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Jackson Loper et al.*2018 · 1 citation*
268. **[Black Box FDR ↗](https://openalex.org/W2963501645) International Conference on Machine Learning · no summary yet**Wesley Tansey et al.*2018 · 1 citation*
269. **[Proximity Variational Inference ↗](https://arxiv.org/abs/1705.08931) arXiv (Cornell University) · no summary yet**Jaan Altosaar, Rajesh Ranganath, David M. Blei*2017 · 1 citation*
270. **[Comment ↗](https://doi.org/10.1080/01621459.2016.1270044) Journal of the American Statistical Association · no summary yet**Dustin Tran, David M. Blei*2016 · 1 citation*
271. **[Non-Parametric Bayesian Analysis of Heterogeneous Data ↗](https://doi.org/10.21236/ada582116) no summary yet**David M. Blei*2013 · 1 citation*
272. **[Scalable recommendation with Poisson factorization,” arXiv:1311.1704 ↗](https://openalex.org/W7100401531) no summary yet**Prem Gopalan, Jake M. Hofman, David M. Blei*2013 · 1 citation*
273. **[A Bayesian Nonparametric Approach to Image Super-resolution ↗](https://arxiv.org/abs/1209.5019) arXiv (Cornell University) · no summary yet**Gungor Polatkan et al.*2012 · 1 citation*
274. **[Dynamic and Supervised Topic Models for Literature-Based Discovery ↗](https://doi.org/10.21236/ada554210) no summary yet**David M. Blei*2011 · 1 citation*
275. **[A focus on graphical model design and applications to document and image analysis ) ↗](https://openalex.org/W2185591340) no summary yet**David M. Blei, Lawrence Carin, David Dunson*2010 · 1 citation*
276. **[Panel Discussion ↗](https://doi.org/10.1007/978-3-540-73133-7_17) Springer eBooks · no summary yet**David M. Blei*2008 · 1 citation*
277. **[Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/zheng-2026-model-directions-not-words-mechanistic/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, et al.*2026*
278. **[Exponential Family Synthetic Controls ↗](https://arxiv.org/abs/2609.23970) arXiv (Cornell University) · no summary yet**Héctor Rodríguez-Déniz, David M. Blei*2026*
279. **[Worst-case low-rank approximations ↗](https://arxiv.org/abs/2603.11304) arXiv (Cornell University) · no summary yet**A. Fries et al.*2026*
280. **[Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-Preferences ↗](https://arxiv.org/abs/2602.21585) arXiv (Cornell University) · no summary yet**Sweta Karlekar et al.*2026*
281. **[Simulation-Based Empirical Bayes ↗](https://arxiv.org/abs/2607.21843) arXiv (Cornell University) · no summary yet**Xinwei Shen et al.*2026*
282. **[Environment-Robust Representation Learning with Empirical Bayes ↗](https://arxiv.org/abs/2606.05365) arXiv (Cornell University) · no summary yet**Yuli Slavutsky et al.*2026*
283. **[Geometric Causal Models ↗](https://arxiv.org/abs/2607.05153) arXiv (Cornell University) · no summary yet**Eli N. Weinstein, David M. Blei*2026*
284. **[The Illusion of Learning from Observational Data: An Empirical Bayes Perspective ↗](https://arxiv.org/abs/2604.08853) arXiv (Cornell University) · no summary yet**Bohan Wu et al.*2026*
285. **[Fisher meets Feynman: score-based variational inference with a product of experts ↗](https://doi.org/10.52202/085713-1811) neural information processing systems · no summary yet**Diana Cai et al.*2025*
286. **[The Sequential Nature of Science: Quantifying Learning from a Sequence of Studies ↗](https://arxiv.org/abs/2511.14996) arXiv (Cornell University) · no summary yet**Mikhaeil, Jonas M., Green, Donald P., David M. Blei*2025*
287. **[Additional file 1 of Joint representation and visualization of derailed cell states with Decipher ↗](https://doi.org/10.6084/m9.figshare.30351984) Figshare · no summary yet**Achille Nazaret et al.*2025*
288. **[Extremely Greedy Equivalence Search ↗](https://arxiv.org/abs/2502.19551) arXiv (Cornell University) · no summary yet**Achille Nazaret, David M. Blei*2025*
289. **[Input Adaptive Bayesian Model Averaging ↗](https://arxiv.org/abs/2510.22054) arXiv (Cornell University) · no summary yet**Yuli Slavutsky, Sebastian Salazar, David M. Blei*2025*
290. **[Bayesian Invariance Modeling of Multi-Environment Data ↗](https://arxiv.org/abs/2506.22675) arXiv (Cornell University) · no summary yet**Luhuan Wu et al.*2025*
291. **[Variational Learning of Disentangled Representations ↗](https://arxiv.org/abs/2506.17182) arXiv (Cornell University) · no summary yet**Slavutsky, Yuli et al.*2025*
292. **[Posterior Mean Matching: Generative Modeling through Online Bayesian Inference ↗](https://arxiv.org/abs/2412.13286) arXiv (Cornell University) · no summary yet**Sebastian Salazar et al.*2024*
293. **[Multi-environment Topic Models ↗](https://arxiv.org/abs/2410.24126) arXiv (Cornell University) · no summary yet**Dominic Sobhani, Amir Feder, David M. Blei*2024*
294. **[Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes ↗](https://arxiv.org/abs/2412.10683) arXiv (Cornell University) · no summary yet**Bo-Han Wu et al.*2024*
295. **[On the Misspecification of Linear Assumptions in Synthetic Control ↗](https://arxiv.org/abs/2302.12777) RePEc: Research Papers in Economics · no summary yet**Achille Nazaret, Claudia Shi, David M. Blei*2023*
296. **[Revisiting Topic-Guided Language Models ↗](https://arxiv.org/abs/2312.02331) arXiv (Cornell University) · no summary yet**Carolina Zheng, Keyon Vafa, David M. Blei*2023*
297. **[The Effect of Friend-to-Friend Text Messaging on Turnout in the 2020 U.S. Midterm Elections ↗](https://doi.org/10.17605/osf.io/gq827) OSF Preprints (OSF Preprints) · no summary yet**Schein, Aaron, David M. Blei, Green, Don*2021*
298. **[Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference ↗](https://arxiv.org/abs/2106.00075) arXiv (Cornell University) · no summary yet**Antonio Khalil Moretti et al.*2021*
299. **[Unsupervised Representation Learning via Neural Activation Coding ↗](https://arxiv.org/abs/2112.04014) arXiv (Cornell University) · no summary yet**Yookoon Park et al.*2021*
300. **[Hierarchical Inducing Point Gaussian Process for Inter-domain Observations ↗](https://arxiv.org/abs/2103.00393) arXiv (Cornell University) · no summary yet**Luhuan Wu et al.*2021*

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