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Speaker
Cristopher Moore (Santa Fe Institute, USA)
Date & Time
28 June 2016, 16:00 to 17:00
Venue
Ramanujan Lecture Hall, ICTS, Bangalore
Resources

There is a deep analogy between statistical inference and statistical physics.  I will give a friendly introduction to both of these fields.  I will then discuss phase transitions in problems like community detection in networks, and clustering of sparse high-dimensional data, where if our data becomes too sparse or too noisy it becomes impossible to find the underlying pattern; moreover, I will discuss optimal algorithms that succeed as well as possible up to this point.  Along the way, I will visit ideas from computational complexity, random graphs, random matrices, and spin glass theory.

 

This lecture is part of Games, Epidemics and Behavior

 

Lecture 1: 28 June 2016,  4:00 PM (for general scientific audience)

Lecture 2: 29 June 2016,  4:00 PM

Lecture 3: 30 June 2016,  4:00 PM

Venue: Ramanujan Lecture Hall, ICTS, Bangalore