Zoë Hitzig
Junior Fellow at the Harvard Society of Fellows and a Research Scientist at OpenAI
Thursday January 30, 2025
310 Sutardja Dai Hall
Getting Lost in ML Safety Vibes
Virginia Smith
Leonardo Associate Professor of Machine Learning at Carnegie Mellon University
Monday November 18, 2024
310 Sutardja Dai Hall
Convergence of Game Dynamics and the Meaning of a Game
Christos Papadimitriou
Donovan Family Professor of Computer Science at Columbia University
Monday October 7, 2024
310 Sutardja Dai Hall
Hidden Convexity of Deep Neural Networks: Exact and Transparent Lasso Formulations via Geometric Algebra
Mert Pilanci
Assistant Professor of Electrical Engineering at Stanford
Thursday September 5, 2024
310 Sutardja Dai Hall
Challenges with Covariate Shift: From Prediction to Causal Inference
Martin Wainwright
Professor of Electrical Engineering and Computer Sciences at MIT
Friday April 12, 2024
310 Sutardja Dai Hall
The Return of the Kernel Method: Augmentation-Based Self-Supervised Representation Learning & RKHS Regression
Pradeep Ravikumar
Professor of Computer Science at Carnegie Mellon University
Friday April 5, 2024
310 Sutardja Dai Hall
Multidimensional Screening with Rich Consumer Data (with Mira Frick and Yuhta Ishii)
Ryota Iijima
Associate Professor of Economics at Yale
Tuesday, March 12, 2024
310 Sutardja Dai Hall
Controlling the Structure of Inference and Learning in Neural Networks
Yisong Yue
Professor of Computing and Mathematical Sciences at CalTech
Friday, February 23, 2024
310 Sutardja Dai Hall
Exploration vs. Exploitation from Adaptive Control to Reinforcement Learning
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