Tight Bounds for Active LP Regression and Beyond

Tight Bounds for Active LP Regression and Beyond

Explore the intricacies of active lp regression and its broader implications in this hour-long lecture by David Woodruff from Carnegie Mellon University. Delve into optimization and algorithm design concepts as part of the Simons Institute's series on advanced mathematical topics. Gain insights into the latest research on tight bounds and their applications in various computational problems.