Statistical Machine Learning Symposium
The Statistical Machine Learning Symposium, organized by the Department of Statistics with support from the Data Science Institute (DSI), is a two-day workshop that will be held April 7-8, 2023 at Columbia University, School of Social Work, 1255 Amsterdam Ave, Room 311-312. It will consist of lectures from invited speakers in academia and industry, as well […]
New York, NY United States
Workshop on Statistical ML
2-day event with 12 invited speakers + Posters
New York, NY United States
Statistical Machine Learning Bootcamp
Lecturers: Alex Andoni, Arian Maleki, Jarek Blasiok, Espen Bernton, Bodhi Sen
New York, NY United States
Tutorials on Sampling and Variational Inference
Speakers: Max Raginsky, Tamara Broderick, Dave Blei
Satyen Kale (Google Research, NY)
Title: Logistic Regression: The Importance of Being Improper
New York, NY 10027 United States
Jason Lee (Princeton University)
Title: Beyond Linearization in Neural Networks
New York, NY 10027 United States
Sanjoy Dasgupta (University of California, San Diego)
Title: A data representation from neuroscience
New York, NY 10027 United States
Dean Foster (Amazon Research)
Title: Falsifiability, calibration and a bit of Reinforcement Learning
New York, NY 10027 United States
Peter Bartlett (University of California, Berkeley)
Title: Benign Overfitting
New York, NY 10027 United States