We'll continue with concentration inequalities https://drive.google.com/file/d/1_raS_p223vmfTVBEY7T_9oyO9ctBfYLA/view?usp=sharing

We'll cover the Shapley value and recent application to data analysis https://drive.google.com/file/d/1rRQv3KoJmmboJl4Or0doX2KsLg_edQKU/view?usp=sharing  To deep dive review the following paper - https://drive.google.com/file/d/1DfoFOzO5LQ5Jzppv7lRNLzaS0tM1ky9L/view?usp=sharing For the curious, slide picture was taken in humus Yossef https://www.tripadvisor.co.il/Restaurant_Review-g7314119-d8589712-Reviews-Yossef_Hummus_Joint-Pardes_Hanna_Karkur_Haifa_District.html  

As we discussed the use of concentration inequalities in our last meeting on re-enforcement learning, we will run a refresh on this subject and discuss Markov inequality this week - https://drive.google.com/file/d/1nvvLIXALNb__l0wNFifWmdVN15Fze5WC/view?usp=sharing

The simplest Monte Carlo evaluation of a policy value https://drive.google.com/file/d/1bVcrAV9WsQt2oyZAoaW2kOUzv5isLGvV/view?usp=sharing

Following our meeting yesterday, promised book reference on convex optimization https://web.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf