Tal Gordon - Hessian vs. Gauss-Newton Matrix: An Analytic Study
59:17
Nir Rosenfeld - Classification Under Strategic Self-Selection
58:16
Ido Greenberg - Real-World AI: Risk and Robustness in Reinforcement Learning and Kalman Filtering
59:02
Idan Attias - Information Complexity of Stochastic Convex Optimization:
56:46
Guy Kornowski - The Elusive Role of High Dimensions in Modern Optimization and Generalization (En)
1:23:07
Dexter Kozen (Cornell University) Talk - Irif's Distinguished Talk Series
54:41
Tomer Michaeli - The implicit bias of SGD: A Dynamical stability analysis (Heb)
14:17
The Gauss Newton Method - explained with a simple example
59:22