Computation and Statistics

Investigators: Alexander (Sasha) Rakhlin

In this project we study statistical guarantees for learning from examples together with the computational demands of the algorithms. This research is at the intersection of Optimization, Statistics, and Information Theory.


Recent papers on the subject:

M. Raginsky and A. Rakhlin. Information Complexity of Black-Box Convex Optimization: A New Look via Feedback Information Theory. Allerton Conference on Communication, Control, and Computing, 2009

« April 2017 »
SunMonTueWedThuFriSat
      1
2345678
9101112131415
16171819202122
23242526272829
30      

Upcoming Events

Recent Events

Blix theme adapted by David Gilbert, powered by PmWiki