Itay Evron - Continual learning in linear regression and classification
59:17
Nir Rosenfeld - Classification Under Strategic Self-Selection
1:03:01
Dan Vilenchik - Towards Reverse Algorithmic Engineering of Neural Networks
1:18:17
Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
59:02
Idan Attias - Information Complexity of Stochastic Convex Optimization:
55:37
Liad Erez - The real price of bandit information in multiclass classification (En)
42:07
Continual Learning and Catastrophic Forgetting
59:09
Idan Mehalel - Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension
1:05:47