Blei, David M.

Probabilistic topic models

Blei, D. M. (2012) · Communications of the ACM

Topic ModelingComputational and Text Analysis Methods

Cited by 5,516

Automatic differentiation variational inference

Kucukelbir, A., Tran, D., Ranganath, R., Gelman, A., & Blei, D. M. (2016) · arXiv

Gaussian Processes and Bayesian InferenceMarkov Chains and Monte Carlo Methods

Cited by 515

Context, learning, and extinction

Gershman, S. J., Blei, D. M., & Niv, Y. (2010) · Psychological Review

Memory and Neural MechanismsNeural and Behavioral Psychology Studies

Cited by 386

A Probabilistic Model for Using Social Networks in Personalized Item Recommendation

Chaney, A. J. B., Blei, D. M., & Eliassi-Rad, T. (2015) · Proceedings of the 9th ACM Conference on Recommender Systems

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 164

Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis

Perotte, A., Ranganath, R., Hirsch, J. S., Blei, D., & Elhadad, N. (2015) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareChronic Kidney Disease and Diabetes

Cited by 128

Rationales for Sequential Predictions

Vafa, K., Deng, Y., Blei, D., & Rush, A. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 14