Zeyuan Allen-Zhu (Microsoft Research)Oct 9, 2017. Title and AbstractOptimal Experimental Design via A New Regret Minimization Framework The experimental design problem concerns the selection of k points from a potentially very large design pool of p-dimensional vectors, so as to maximize the statistical efficiency regressed on the selected k design points. We achieve In contrast, to the best of our knowledge, previously (1) no polynomial-time algorithm exists for achieving any Joint work with Yuanzhi Li, Aarti Singh, and Yining Wang. BioZeyuan Allen-Zhu is a researcher at MSR Redmond. Previously he received an Sc.D. from MIT and spent two years as a postdoc at Princeton and IAS. He works on the mathematical foundations of optimization and machine learning, and applies them to subjects across data mining, theoretical computer science, and statistics. |