Kernel and Rich Regimes in Deep Learning
Nati Srebro
TTIC
October 17, 2019
Provably Efficient Reinforcement Learning with Linear Function Approximation
Chi Jin
Member, School of Mathematics
October 17, 2019
Spotlight talks Pt2
Sebastian Goldt, Akshay Rangamani, Omar Shehab, Or Sharir
October 17, 2019
Energy-based Approaches to Representation Learning
Yann LeCun
NYU and Facebook AI
October 16, 2019
On Large Deviation Principles for Large Neural Networks
Joan Bruna
New York University
October 16, 2019
Neural Models for Speech and Language: Successes, Challenges, and the Relationship to Computational Models of the Brain
Michael Collins
Columbia University
October 16, 2019
On the Connection between Neural Networks and Kernels: a Modern Perspective
Simon Du
Member, School of Mathematics
October 16, 2019
From Classical Statistics to Modern ML: the Lessons of Deep Learning
Mikhail Belkin
Ohio State University
October 16, 2019
Spotlight talks
Various
October 16, 2019
Towards a theoretical foundation of neural networks
Jason Lee
Princeton University; Member, School of Mathematics
October 16, 2019