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

 

 


Last year's seminar