Learning Club

The recording of Ronen's talk: https://us02web.zoom.us/rec/share/lFyTCaXdH469BOuce3TgfdZQZ1pJlsy-Ei165FQPuiue6nGPHjpLgbOCF1hdvWEu.iDjrEpLTDMdUpiXJ Thanks to Ronen for the presentation and everyone who attended,   Hey everyone, After the holiday, on Sunday 4.4.2021 at 12:00, we will host Ronen Basri from Weizman Institute. Ronen will present his work on the connection between deep neural networks and kernel methods. Zoom: https://us02web.zoom.us/j/88008797212pwd=TkFnME5OM3VqV2FjSlRGRTNLSVB1QT09 Meeting ID: 880 0879 7212 Passcode: ... Read more

Time: Sunday Apr 11th, 2021 12:00 PM — 13:00 PM. The recording of Roi's talk: https://us02web.zoom.us/rec/play/7uL_4UkcH6PhgKWsSEn_lc3QOLqEuQOu7ax08fgnj93YgVhkfMM9_9f_2VbfaoqJFif7tpFffh4V6mt-.-MC-XWpEjtb97tvZ?continueMode=true On Sunday 11.4.2021 at 12:00, we will host Roi Livni from Tel-Aviv University. Roi will present his work on: "Regularization, what is it good for?". Zoom: https://us02web.zoom.us/j/83325342820?pwd=cUcxR2lJMzloL0pwNHJUWG0wNTQvUT09 Meeting ID: 833 2534 2820 Passcode: 449581 Title: Regularization, what is it good ... Read more

Learning Club BIU - Aviv Tamar Title: Learning to Plan and Planning to Learn Abstract: Two main paradigms for solving sequential decision making problems are planning - searching through possible future outcomes to achieve a goal, and reinforcement learning (RL) - learning reactive policies through trial and error. This talk focuses on algorithmic interfaces between ... Read more

 Learning Club - Asaf Noy Title: A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks Abstract: Deep neural networks' remarkable ability to correctly fit training data when optimized by gradient-based algorithms is yet to be fully understood. Recent theoretical results explain the convergence for ReLU networks that are wider than those used in practice by ... Read more