Itay Evron - Continual learning in linear regression and classification
1:18:17
Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
1:01:09
Anatoly Khina - Geometry-oriented Measures of Dependence
1:03:01
Dan Vilenchik - Towards Reverse Algorithmic Engineering of Neural Networks
58:16
Ido Greenberg - Real-World AI: Risk and Robustness in Reinforcement Learning and Kalman Filtering
55:37
Liad Erez - The real price of bandit information in multiclass classification (En)
50:05
6. Monte Carlo Simulation
42:07
Continual Learning and Catastrophic Forgetting
54:41