Schedule
1)
(April 13) An introductory lecture
2)
(May 4) C. 4 - Chernoff and Hoeffding Bounds, Noe Eyal
3) (May 11) C. 7 - Markov Chains and Random Walks, Adi Rivkin
4) (May 18) C. 10 - Entropy, Randomness, and Information, Itay Bareli
5) (June 1) C. 11 - The Monte Carlo Method, Raz Sapir
6)
(June 15) C. 12 - Coupling
of Markov Chains, Amitai Hazan
7)
(June 22) C. 13 – Martingales, Itamar Berger
8) (June 29)
C.
14 - Sample Complexity, VC Dimension, and Rademacher Complexity, Ron Vulcan