Machine Learning
Professor David Blei, with co-authors Matthew Hoffman and Francis Bach, is recognized with a Test of Time Award at NeurIPS, the world’s top machine learning conference, for scaling his topic modeling algorithm to billions of documents.
Researchers from the department presented machine learning and artificial intelligence research at the thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2022).
David Blei and Chong Wang were named winners of the Test of Time Award for Research at the 27th SIGKDD Conference on Knowledge Discovery and Data Mining. The duo was recognized for their 2011 paper, "Collaborative topic modeling for recommending scientific articles."
About
The group does research on foundational aspects of machine learning — including causal inference, probabilistic modeling, and sequential decision making — as well as on applications in computational biology, computer vision, natural language and spoken language processing, and robotics.
It is part of a broader machine learning community at Columbia that spans multiple departments, schools, and institutes. Activities include seminars on statistical machine learning, several student-led reading groups and social hours, and participation in local events such as the New York Academy of Sciences Machine Learning Symposium.
Causal Artificial Intelligence Lab 
Machine Learning @ Columbia 
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