Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Text-Based Ideal Points

May 08, 2020
Keyon Vafa, Suresh Naidu, David M. Blei

* To appear in the Proceedings of the 2020 Conference of the Association for Computational Linguistics (ACL 2020) 

  Access Paper or Ask Questions

Towards Clarifying the Theory of the Deconfounder

Mar 10, 2020
Yixin Wang, David M. Blei


  Access Paper or Ask Questions

Poisson-Randomized Gamma Dynamical Systems

Oct 28, 2019
Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei, Hanna Wallach

* To appear in the Proceedings of the 32nd Advances in Neural Information Processing Systems (NeurIPS 2019) 

  Access Paper or Ask Questions

The Blessings of Multiple Causes: A Reply to Ogburn et al. (2019)

Oct 17, 2019
Yixin Wang, David M. Blei


  Access Paper or Ask Questions

Prescribed Generative Adversarial Networks

Oct 09, 2019
Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei, Michalis K. Titsias

* Code for this paper can be found at https://github.com/adjidieng/PresGANs 

  Access Paper or Ask Questions

Population Predictive Checks

Aug 08, 2019
Rajesh Ranganath, David M. Blei


  Access Paper or Ask Questions

The Dynamic Embedded Topic Model

Jul 12, 2019
Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei


  Access Paper or Ask Questions

Topic Modeling in Embedding Spaces

Jul 08, 2019
Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei

* Code can be found at https://github.com/adjidieng/ETM 

  Access Paper or Ask Questions

Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices

Jun 10, 2019
Wesley Tansey, Christopher Tosh, David M. Blei


  Access Paper or Ask Questions

Adapting Neural Networks for the Estimation of Treatment Effects

Jun 05, 2019
Claudia Shi, David M. Blei, Victor Veitch


  Access Paper or Ask Questions

Multiple Causes: A Causal Graphical View

May 30, 2019
Yixin Wang, David M. Blei

* 23 pages 

  Access Paper or Ask Questions

Using Text Embeddings for Causal Inference

May 29, 2019
Victor Veitch, Dhanya Sridhar, David M. Blei


  Access Paper or Ask Questions

Equal Opportunity and Affirmative Action via Counterfactual Predictions

May 29, 2019
Yixin Wang, Dhanya Sridhar, David M. Blei

* 18 pages 

  Access Paper or Ask Questions

Variational Bayes under Model Misspecification

May 26, 2019
Yixin Wang, David M. Blei

* 27 pages 

  Access Paper or Ask Questions

The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs)

Apr 03, 2019
Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak


  Access Paper or Ask Questions

Using Embeddings to Correct for Unobserved Confounding

Feb 11, 2019
Victor Veitch, Yixin Wang, David M. Blei


  Access Paper or Ask Questions

A Probabilistic Model of Cardiac Physiology and Electrocardiograms

Dec 01, 2018
Andrew C. Miller, Ziad Obermeyer, David M. Blei, John P. Cunningham, Sendhil Mullainathan

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:cs/0101200 

  Access Paper or Ask Questions

The Deconfounded Recommender: A Causal Inference Approach to Recommendation

Aug 20, 2018
Yixin Wang, Dawen Liang, Laurent Charlin, David M. Blei

* 14 pages, 3 figures 

  Access Paper or Ask Questions

Noisin: Unbiased Regularization for Recurrent Neural Networks

Jul 13, 2018
Adji B. Dieng, Rajesh Ranganath, Jaan Altosaar, David M. Blei

* In Proceedings of the International Conference on Machine Learning, 2018 

  Access Paper or Ask Questions

Avoiding Latent Variable Collapse With Generative Skip Models

Jul 12, 2018
Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei

* Presented at Workshop on Theoretical Foundations and Applications of Deep Generative Models, ICML, 2018 

  Access Paper or Ask Questions

SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements

Jul 02, 2018
Francisco J. R. Ruiz, Susan Athey, David M. Blei

* 27 pages, 4 figures, submitted to AOAS 

  Access Paper or Ask Questions

Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data

Jun 27, 2018
Victor Veitch, Morgane Austern, Wenda Zhou, David M. Blei, Peter Orbanz

* 23 pages, 1 figure 

  Access Paper or Ask Questions

Robust Probabilistic Modeling with Bayesian Data Reweighting

Jun 19, 2018
Yixin Wang, Alp Kucukelbir, David M. Blei

* In ICML 2017. Updated related work 

  Access Paper or Ask Questions

The Blessings of Multiple Causes

Jun 19, 2018
Yixin Wang, David M. Blei

* 59 pages 

  Access Paper or Ask Questions

Black Box FDR

Jun 08, 2018
Wesley Tansey, Yixin Wang, David M. Blei, Raul Rabadan

* To appear at ICML'18; code available at https://github.com/tansey/bb-fdr 

  Access Paper or Ask Questions

Augment and Reduce: Stochastic Inference for Large Categorical Distributions

Jun 07, 2018
Francisco J. R. Ruiz, Michalis K. Titsias, Adji B. Dieng, David M. Blei

* Francisco J. R. Ruiz, Michalis K. Titsias, Adji B. Dieng, and David M. Blei. Augment and Reduce: Stochastic Inference for Large Categorical Distributions. International Conference on Machine Learning. Stockholm (Sweden), July 2018 
* 11 pages, 2 figures 

  Access Paper or Ask Questions

Frequentist Consistency of Variational Bayes

May 24, 2018
Yixin Wang, David M. Blei

* 58 pages 

  Access Paper or Ask Questions

Variational Inference: A Review for Statisticians

May 09, 2018
David M. Blei, Alp Kucukelbir, Jon D. McAuliffe

* Journal of the American Statistical Association, Vol. 112 , Iss. 518, 2017 

  Access Paper or Ask Questions

Equation Embeddings

Mar 24, 2018
Kriste Krstovski, David M. Blei

* 12 pages, 2 figures 

  Access Paper or Ask Questions