2021-2022 Seminars

Mar
29
2022

Computer Science/Discrete Mathematics Seminar II

The absorption method, and an application to an old Ramsey problem
10:30am|Simonyi Hall 101 and Remote Access

The absorption method is a very simple yet surprisingly powerful idea coming from extremal combinatorics which allows one to convert asymptotic results into exact ones. It has produced a remarkable number of success stories in recent years with...

Mar
28
2022

Computer Science/Discrete Mathematics Seminar I

Linear cover time is exponentially unlikely
Quentin Dubroff
11:15am|Simonyi 101 and Remote Access

Proving a 2009 conjecture of Itai Benjamini, we show:  For any C, there is a > 0 such that for any simple random walk on an n-vertex graph G, the probability that the first Cn steps of the walk hit every vertex of G is at most exp[-an].  A first...

Mar
22
2022

Computer Science/Discrete Mathematics Seminar II

Localization schemes: A framework for proving mixing bounds for Markov chains
10:30am|Simonyi Hall 101 and Remote Access

Two recent and seemingly-unrelated techniques for proving mixing bounds for Markov chains are:

(i) the framework of Spectral Independence, introduced by Anari, Liu and Oveis Gharan, and its numerous extensions, which have given rise to several...

Mar
21
2022

Computer Science/Discrete Mathematics Seminar I

Online Bipartite Matching and Adwords
Vijay V. Vazirani
11:15am|Simonyi 101 and Remote Access

Over the last three decades, the online bipartite matching (OBM) problem has emerged as a central problem in the area of Online Algorithms. Perhaps even more important is its role in the area of Matching-Based Market Design.  The resurgence of this...

Mar
15
2022

Computer Science/Discrete Mathematics Seminar II

Localization schemes: A framework for proving mixing bounds for Markov chains
10:30am|Simonyi Hall 101 and Remote Access

Two recent and seemingly-unrelated techniques for proving mixing bounds for Markov chains are:

(i) the framework of Spectral Independence, introduced by Anari, Liu and Oveis Gharan, and its numerous extensions, which have given rise to several...

Mar
14
2022

Computer Science/Discrete Mathematics Seminar I

Multi-group learning via Outcome Indistinguishability
Gal Yona
11:15am|Simonyi 101 and Remote Access

As machine learning is widely deployed, it is increasingly important to ensure that predictors will perform well not only on average (across the entire population), but also on specific socially salient subgroups. In this talk, I will present...

Mar
08
2022

Computer Science/Discrete Mathematics Seminar II

Hardness of Easy Problems and Fine-Grained Complexity
10:30am|Simonyi Hall 101 and Remote Access

In recent years, a new “fine-grained” theory of computational hardness has been developed, based on “fine-grained reductions” that focus on exact running times for problems. 

We follow the fashion of NP-hardness in a more delicate manner. We...

Mar
07
2022

Computer Science/Discrete Mathematics Seminar I

The Minimum Formula Size Problem is (ETH) Hard
Rahul Ilango
11:15am|Simonyi 101 and Remote Access

Understanding the complexity of the Minimum Circuit Size Problem (MCSP) is a longstanding mystery in theoretical computer science. Despite being a natural problem about circuits (given a Boolean function's truth table, determine the size of the...

Mar
01
2022

Computer Science/Discrete Mathematics Seminar II

Non-Black-Box Derandomization
10:30am|Simonyi Hall 101 and Remote Access

This is the third and final talk in the joint series with Lijie Chen. The talk will NOT rely on the technical contents from the two previous talks.

I will present a joint work with Lijie, in which we revise the hardness vs randomness framework so...

Feb
28
2022

Computer Science/Discrete Mathematics Seminar I

Refuting Smoothed k-SAT Formulas and a Proof of Feige's Conjecture
11:15am|Simonyi 101 and Remote Access

I'll present a new algorithm to refute, that is, efficiently find certificates of unsatisfiability, for smoothed instances of k-SAT and other CSPs. Smoothed instances are produced by starting with a worst-case instance and flipping each literal in...