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

« February 2017 »
SunMonTueWedThuFriSat
   1234
567891011
12131415161718
19202122232425
262728    

Upcoming Events

Recent Events

Blix theme adapted by David Gilbert, powered by PmWiki