2012-2013 Seminars

Apr
15
2013

Computer Science/Discrete Mathematics Seminar I

Analytical Approach to Parallel Repetition
Irit Dinur
11:15am|S-101

We propose an “analytical” framework for studying parallel repetitions of one-round two-prover games. We define a new relaxation of the value of a game, val+, and prove that it is both multiplicative and a good approximation for the true value of...

Apr
09
2013

Computer Science/Discrete Mathematics Seminar II

"What is Geometric Entropy, and Does it Really Increase?"
Jozsef Beck
10:30am|S-101

We all know Shannon's entropy of a discrete probability distribution. Physicists define entropy in thermodynamics and in statistical mechanics (there are several competing schools), and want to prove the Second Law, but they didn't succeed yet (very...

Apr
02
2013

Computer Science/Discrete Mathematics Seminar II

An Arithmetic Analogue of Fox's Improved Triangle Removal Lemma
10:30am|S-101

We give an arithmetic version of the recent proof of the improved triangle removal lemma by Fox [Fox11], for the group F_2^n. A triangle in F_2^n is a tuple (x,y,z) such that x+y+z = 0. The triangle removal lemma for F_2^n states that for every \eps...

Apr
01
2013

Computer Science/Discrete Mathematics Seminar I

Device Independence: A New Paradigm for Randomness Manipulation?
Thomas Vidick
11:15am|S-101

A trusted source of independent and uniform random bits is a basic resource in many computational tasks, such as cryptography, game theoretic protocols, algorithms and physical simulations. Implementing such a source presents an immediate challenge...

Mar
25
2013

Computer Science/Discrete Mathematics Seminar I

New Locally Decodable Codes from Lifting
Madhu Sudan
11:15am|S-101

Locally decodable codes (LDCs) are error-correcting codes that allow for highly-efficient recovery of "pieces" of information even after arbitrary corruption of a codeword. Locally testable codes (LTCs) are those that allow for highly-efficient...

Mar
19
2013

Computer Science/Discrete Mathematics Seminar II

Sensitivity Versus Block Sensitivity, II
10:30am|S-101

There are two important measures of the complexity of a boolean function: the sensitivity and block sensitivity. Whether or not they are polynomial related remains a major open question. In this talk I will survey some known results on this...

Mar
18
2013

Computer Science/Discrete Mathematics Seminar I

Constant Rate PCPs for Circuit-SAT with Sublinear Query Complexity
11:15am|S-101

The PCP theorem (Arora et. al., J. ACM 45(1,3)) says that every NP-proof can be encoded to another proof, namely, a probabilistically checkable proof (PCP), which can be tested by a verifier that queries only a small part of the PCP. A natural...

Mar
12
2013

Computer Science/Discrete Mathematics Seminar II

Sensitivity Versus Block Sensitivity, I
10:30am|S-101

There are two important measures of the complexity of a boolean function: the sensitivity and block sensitivity. Whether or not they are polynomial related remains a major open question. In this talk I will survey some known results on this...