P.R. Kumar
Professor at Texas A&M University
Monday December 4, 2023
310 Sutardja Dai Hall
Toward a Practical Theory of Deep Learning: Feature Learning in Deep Neural Networks and Backpropagation-free Algorithms that Learn Features
Mikhail Belkin
Professor of Data Science, Halıcıoğlu Data Science Institute, Computer Science and Engineering at UC San Diego
Wednesday November 29, 2023
310 Sutardja Dai Hall
Stability and Learning in Strategic Games
Eva Tardos
Jacob Gould Schurman Professor of Computer Science at Cornell University
Friday November 3, 2023
Calvin Auditorium
Shapley-Scarf Housing Markets: Respecting Improvement, Integer Programming, and Kidney Exchange
Péter Biró
Research Professor at the Simons Laufers Mathematical Sciences Institute
Wednesday November 1, 2023
310 Sutardja Dai Hall
Hierarchical Causal Models
David Blei
Professor of Statistics and Computer Science at Columbia University
Friday September 29, 2023
310 Sutardja Dai Hall
Can we Govern Algorithms with Science
J. Nathan Matias
Cornell University
Tuesday, April 25, 2023
Location TBD
Stability of Black-Box Algorithms
Rina Foygel Barber
University of Chicago
Friday, April 7, 2023
310 Sutardja Dai Hall
First Contact
Sebastien Bubeck
Microsoft Research
Friday March 17, 2023
310 Sutardja Dai Hall
Predicting Labor Market Transitions and Wages with Transformer Models: Transfer Learning, Bias, and Stability
Susan Athey
Stanford University
Friday, March 3, 2023
Simons Institute (Calvin Lab Auditorium)
Robust and Equitable Uncertainty Estimation
Aaron Roth
University of Pennsylvania
Friday February 24, 2023
310 Sutardja Dai Hall