59:22

Itay Evron - Continual learning in linear regression and classification

1:03:01

Dan Vilenchik - Towards Reverse Algorithmic Engineering of Neural Networks

1:00:22

Dario Azzimonti - Preference learning with Gaussian processes

1:05:47

Kobbi Nissim - PEP talk

1:01:09

Anatoly Khina - Geometry-oriented Measures of Dependence

58:10

Dan Rosenbaum - Functa: data as neural fields

58:16

Ido Greenberg - Real-World AI: Risk and Robustness in Reinforcement Learning and Kalman Filtering

59:09

Idan Mehalel - Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension