Computationally tractable selection of experiments in regression models

Nov 15 (Tuesday) at Noon GHC-8102

Speaker: Yining Wang

Abstract: I will continue the topic that I introduced last semester on computationally efficient experiment selection in regression models, with additional results and analysis. I will analyze a sampling based method and a greedy method, both of which attain provable near-optimal statistical performance in polynomial time while enjoy different finite sample performance.