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David M. Blei

  1. Deep Probabilistic Programming
    2017/01/13 by Dustin Tran, Matthew D. Hoffman, Tran, Dustin +9 · 4 voices · 8 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #cs.AI #cs.LG #cs.PL #stat.CO #stat.ML
  2. Probabilistic topic models
    2012/03/23 by David M. Blei · 158 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Web Data Mining and Analysis
  3. Variational Inference: A Review for Statisticians
    2017/02/27 by David M. Blei, Alp Kucukelbir, Jon D. McAuliffe · 208 citations
    Computer Science · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis
  4. Stochastic Variational Inference
    2012/06/29 by Matt Hoffman, Hoffman, Matt, David M. Blei +5 · 54 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference
  5. Black Box Variational Inference
    2013/12/31 by Rajesh Ranganath, Ranganath, Rajesh, Sean Gerrish +3 · 37 citations
    Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Statistical Methods and Inference #Machine Learning and Algorithms
  6. Edward: A library for probabilistic modeling, inference, and criticism
    2016/10/31 by Dustin Tran, Tran, Dustin, Alp Kucukelbir +10 · 1 voice · 22 citations
    Computer Science · Mathematics · #Data Analysis with R #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #cs.AI #cs.PL #stat.AP #stat.CO #stat.ML
  7. Automatic Differentiation Variational Inference
    2016/03/02 by Alp Kucukelbir, Dustin Tran, Kucukelbir, Alp +7 · 24 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms #Machine Learning and Data Classification
  8. Variational Bayesian Inference with Stochastic Search
    2012/06/27 by John Paisley, David M. Blei, Paisley, John +3 · 23 citations
    Computer Science · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms
  9. Evaluating the Moral Beliefs Encoded in LLMs
    2023/07/26 by Nino Scherrer, Scherrer, Nino, Claudia Shi +5 · 37 citations
    Computer Science · Decision Sciences · #Topic Modeling #Natural Language Processing Techniques #Data Quality and Management
  10. Stochastic Gradient Descent as Approximate Bayesian Inference
    2017/04/13 by Stephan Mandt, Matthew D. Hoffman, David M. Blei · 1 voice · 12 citations
    Mathematics · Computer Science · #stat.ML #cs.LG
  11. Variational Sequential Monte Carlo
    2017/05/31 by Christian A. Naesseth, Scott W. Linderman, Naesseth, Christian A. +5 · 11 citations
    Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models #Markov Chains and Monte Carlo Methods
  12. Deep Survival Analysis
    2016/08/06 by Rajesh Ranganath, Ranganath, Rajesh, Adler Perotte +5 · 11 citations
    Computer Science · Health Professions · Medicine · #Artificial Intelligence (cs.AI) #Colorectal Cancer Screening and Detection #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning in Healthcare #Medical Coding and Health Information #Methodology (stat.ME)
  13. Modeling User Exposure in Recommendation
    2015/10/23 by Dawen Liang, Laurent Charlin, Liang, Dawen +5 · 6 citations
    Computer Science · Social Sciences · #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Recommender Systems and Techniques
  14. Automatic Variational Inference in Stan
    2015/06/10 by Alp Kucukelbir, Rajesh Ranganath, Kucukelbir, Alp +5 · 8 citations
    Computer Science · #Bayesian Methods and Mixture Models #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML)
  15. The Blessings of Multiple Causes
    2019/10/02 by Zhaoran Wang, David M. Blei · 1 voice · 7 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Statistical Methods and Inference
  16. The Variational Gaussian Process
    2015/11/20 by Dustin Tran, Tran, Dustin, Rajesh Ranganath +3 · 6 citations
    Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks
  17. Exponential Family Embeddings
    2016/08/02 by Maja Rudolph, Francisco J. R. Ruiz, Rudolph, Maja R. +5 · 6 citations
    Social Sciences · #FOS: Computer and information sciences #Family Dynamics and Relationships #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Hierarchical Implicit Models and Likelihood-Free Variational Inference
    2017/02/28 by Dustin Tran, Rajesh Ranganath, Tran, Dustin +3 · 8 citations
    Computer Science · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  19. Recurrent switching linear dynamical systems
    2016/10/26 by Scott W. Linderman, Linderman, Scott W., Andrew C. Miller +9 · 4 citations
    Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Time Series Analysis and Forecasting
  20. Variational Bayes under Model Misspecification
    2019/05/26 by Zhaoran Wang, David M. Blei, Wang, Yixin +1 · 4 citations
    Mathematics · Computer Science · #Statistical Methods and Bayesian Inference #Bayesian Methods and Mixture Models #Statistical Methods and Inference
  21. Stable Differentiable Causal Discovery
    2023/11/17 by Achille Nazaret, Nazaret, Achille, Justin Hong +5 · 7 citations
    Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
  22. Data Augmentations for Improved (Large) Language Model Generalization
    2023/10/19 by Amir Feder, Yoav Wald, Feder, Amir +7 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Natural Language Processing Techniques #Topic Modeling
  23. Avoiding Latent Variable Collapse With Generative Skip Models
    2018/07/12 by Adji Bousso Dieng, Yoon Kim, Dieng, Adji B. +5 · 8 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Music and Audio Processing
  24. Bayesian Poisson Tensor Factorization for Inferring Multilateral\n Relations from Sparse Dyadic Event Counts
    2015/06/10 by Aaron Schein, John Paisley, Schein, Aaron +5 · 5 citations
    Mathematics · Social Sciences · #Applications (stat.AP) #Artificial Intelligence (cs.AI) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Tensor decomposition and applications
  25. Overdispersed Black-Box Variational Inference
    2016/03/03 by Francisco J. R. Ruiz, Ruiz, Francisco J. R., Michalis K. Titsias +3 · 4 citations
    Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference
  26. Hierarchical Causal Models
    2024/01/10 by Eli N. Weinstein, David M. Blei, Weinstein, Eli N. +1 · 2 voices · 3 citations
    Computer Science · #Bayesian Modeling and Causal Inference
  27. Conformal Sensitivity Analysis for Individual Treatment Effects
    2021/12/07 by Mingzhang Yin, Claudia Shi, Yin, Mingzhang +5 · 3 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference #Statistical Methods in Clinical Trials
  28. Amortized Variational Inference: When and Why?
    2023/07/20 by Charles C. Margossian, Margossian, Charles C., David M. Blei +1 · 4 citations
    Arts and Humanities · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Philosophy and History of Science
  29. Using Embeddings to Correct for Unobserved Confounding in Networks
    2019/02/11 by Victor Veitch, Zhaoran Wang, Veitch, Victor +3 · 3 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  30. Equation Embeddings
    2018/03/24 by Kriste Krstovski, David M. Blei, Krstovski, Kriste +1 · 2 citations
    Computer Science · Decision Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematics, Computing, and Information Processing #Scientific Computing and Data Management #Topic Modeling
  31. Variational Inference with Gaussian Score Matching
    2023/07/15 by Chirag Modi, Charles C. Margossian, Modi, Chirag +9 · 4 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
  32. EigenVI: score-based variational inference with orthogonal function expansions
    2024/10/31 by Diana Cai, Chirag Modi, Cai, Diana +10 · 2 voices · 5 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis
  33. Hypothesis Testing the Circuit Hypothesis in LLMs
    2024/10/16 by Claudia Shi, Nicolas Beltran-Velez, Shi, Claudia +13 · 1 voice · 4 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.LG #stat.ML
  34. Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
    2016/06/06 by Aaron Schein, Schein, Aaron, Mingyuan Zhou +5 · 3 citations
    Mathematics · Computer Science · #Tensor decomposition and applications #Domain Adaptation and Few-Shot Learning #Topic Modeling
  35. CAREER: A Foundation Model for Labor Sequence Data
    2022/02/16 by Keyon Vafa, Vafa, Keyon, Tianyu Du +8 · 2 citations
    Social Sciences · Economics, Econometrics and Finance · #Digital Economy and Work Transformation #Labor market dynamics and wage inequality
  36. Density Uncertainty Layers for Reliable Uncertainty Estimation
    2023/06/21 by Yookoon Park, David M. Blei, Park, Yookoon +1 · 2 voices
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Fault Detection and Control Systems #cs.LG #stat.ML
  37. A General Method for Robust Bayesian Modeling
    2015/10/17 by Chong Wang, David M. Blei, Wang, Chong +1 · 1 citation
    Computer Science · Mathematics · #Advanced Statistical Methods and Models #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference
  38. Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms
    2016/10/18 by Christian A. Naesseth, Francisco J. R. Ruiz, Naesseth, Christian A. +5 · 1 citation
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
  39. Structured Embedding Models for Grouped Data
    2017/09/28 by Maja Rudolph, Francisco Ruíz, Rudolph, Maja +5 · 1 citation
    Physics and Astronomy · Social Sciences · #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Media Influence and Politics #Opinion Dynamics and Social Influence
  40. Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference
    2021/05/31 by Antonio Khalil Moretti, Moretti, Antonio Khalil, Liyi Zhang +11 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Genetic diversity and population structure #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  41. Deep Exponential Families
    2014/11/10 by Rajesh Ranganath, Ranganath, Rajesh, Linpeng Tang +5 · 1 voice
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
  42. On the Assumptions of Synthetic Control Methods
    2021/12/10 by Claudia Shi, Dhanya Sridhar, Shi, Claudia +5 · 1 citation
    Mathematics · #Advanced Causal Inference Techniques
  43. Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport
    2022/02/03 by Liyi Zhang, Zhang, Liyi, David M. Blei +3 · 1 citation
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #Methodology (stat.ME) #Radiomics and Machine Learning in Medical Imaging
  44. Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse
    2022/07/19 by Sachit Menon, Menon, Sachit, David M. Blei +3 · 1 citation
    Computer Science · Social Sciences · #Computational and Text Analysis Methods #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  45. Distance Dependent Chinese Restaurant Processes
    2009/10/06 by David M. Blei, Peter I. Frazier, Blei, David M. +1 · 1 citation
    Computer Science · #Bayesian Methods and Mixture Models #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Time Series Analysis and Forecasting
  46. Estimating Social Influence from Observational Data
    2022/03/24 by Dhanya Sridhar, Caterina De Bacco, Sridhar, Dhanya +3 · 1 citation
    Mathematics · Psychology · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mental Health Research Topics #Social and Information Networks (cs.SI)
  47. Invariant Representation Learning for Treatment Effect Estimation
    2020/11/24 by Claudia Shi, Victor Veitch, Shi, Claudia +3 · 2 citations
    Mathematics · Computer Science · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Bayesian Modeling and Causal Inference
  48. Simulation-Based Empirical Bayes
    2026/07/23 by Xinwei Shen, Diana Cai, Cheng Zhang +1
    #stat.ML #cs.LG