About: This seminar series invites experts from across the country to come to Columbia and present the latest cutting-edge research in the field of Machine Learning and Artificial Intelligence. Running the gamut between theory and empirics, the seminar provides a single, unified space to bring together the ML/AI community at Columbia. Topics of interest include, but are not limited to, Language Models, Optimization for Deep Learning, Reinforcement and Imitation Learning, Learning Theory, Interpretability and AI Alignment, AI for science, Probabilistic ML, and Bayesian methods.
Hosts: DSI Foundations of Data Science Center; Department of Statistics, Arts and Sciences; Columbia Engineering
Registration Note: Registration for all CUID holders is preferred. If you do not have an active CUID, registration is required and is due at 12:00 PM the day prior to the seminar. Unfortunately, we cannot guarantee entrance to Columbia's Morningside campus if you register following 12:00 PM the day prior to the seminar. Thank you for understanding!
This RSVP form is for Fall 2025 semester. A new RSVP form will be circulated in Spring 2026.