I study the automation of the learning mechanism and its efficient algorithmic implementation. This study centers in the field of machine learning and touches upon mathematical optimization, game theory, statistics and computational complexity.
For more details see my bio.

Office hours: Tuesdays, 15:30-16:30 CS 409

Graduate text: link to more info and downloadable softcopy in pdf format (+ paperback option).

Tutorial given at the Simons Institute, Berkeley: 

Simulated annealing is equivalent to interior point methods (with entropic barrier)!
for a more precise statement click the picture...

Is optimization computationally equivalent to online learning?
See here for a recent answer.