Mathematics of Information seminar.
CS286, 2009-10
A concern with logical and statistical quantities --- information --- is
central to science and engineering. The pertinent mathematics is being actively
developed in disciplines such as algorithms, complexity, communications, control,
quantum mechanics, economics, probability, combinatorics, algebra and harmonic
analysis. This seminar is devoted to synthesis of methods across disciplines.
Participants will give short lecture series on techniques and current questions
in specific areas.
Instructor: Schulman
Prerequisites: Coursework in some of the relevant fields at the first-year
graduate level.
Course sponsored by the CMI
The lectures this year will be given mostly by postdocs, faculty and visitors.
Fall 2009, CS286a
Credit: 3 units P/F
Times: Tuesdays 4:00-5:30 in Annenberg 213, with tea
First meeting: November 17
Speaker schedule:
Nov 17 Daniel Golovin – Online Algorithms
with No Regret Guarantees
Nov 24 Daniel Golovin – Online Algorithms with No Regret Guarantees
Dec 1 Risi Kondor – Non-commutative harmonic analysis in machine learning
Dec 8 Risi Kondor – Non-commutative harmonic analysis in machine learning