
Welcome!
I am a machine
learning researcher
mainly interested in online optimization,
bandit problems, and reinforcement learning theory. My general research
mission is
to bring theory and practice closer together by proving theoretical
performance guarantees of practical algorithms and making principled
learning algorithms more accessible to practicioners. In particular, I
am trying to find out whether there exist fundamental tradeoffs
between computational and informationtheoretic efficiency in machine
learning.
You might want to
check
out my CV to get
a better picture of what I've done professionally so
far.
News
 !!!HOT!!! This Fall, I will be joining the AI
group at the Universitat Pompeu Fabra (Barcelona) as a postdoc supported by the UPFellows grant. 2015.
05. 29.
 Two papers accepted! One at COLT 2015, another at the IEEE Transactions on Information Theory. Preprints here. 2015.
05. 03.
 I will be serving on the program committee for ALT 2015.
It's a very good conference at a beautiful location, so please consider
submitting your work—I'm looking forward to reviewing some good papers! 2015.
02. 07.
 I got invited to the DALI'15 workshop on Learning Theory,
organized by Nicolň
CesaBianchi and Ulrike
von Luxburg. 2015.
01. 14.
 I'm spending a few days at the University of Alberta
with my former advisors Csaba
and Andris before going to
NIPS. Also giving a talk about one of my NIPS papers! 2014. 12. 03.
 I gave a talk at the AI
group at the Universitat Pompeu Fabra, Barcelona. Fun times, thanks
for inviting me, Vicenç!
2014.
11. 14.
 Talk at the LSOLDM
2014 workshop! I saw some cameras around so there's probably gonna
be a video released soon. 2014.
09. 12.
 Three papers
accepted to NIPS 2014!
Head over to my publications
page to get a glimpse! 2014.
09. 09.
 New website
online! 2014.
06. 25.

