Evergreen Seminar Series

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