
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

