Seminars

Nov
05
2018

Theoretical Machine Learning Seminar

Scalable natural gradient training of neural networks
12:15pm|Princeton University, CS 302

Natural gradient descent holds the potential to speed up training of neural networks by correcting for the problem geometry and achieving desirable invariance properties. I’ll present Kronecker-Factored Approximate Curvature (K-FAC), a scalable...

Nov
05
2018

Computer Science/Discrete Mathematics Seminar I

Sunflowers and friends
11:15am|West Building Lecture Hall

The Erdos-Rado sunflower conjecture is one of the tantalizing open problems in combinatorics. In my talk, I will describe several attempts on how to get improved bounds for it. These will lead to surprising connections with several other...

Oct
30
2018

Computer Science/Discrete Mathematics Seminar II

On the NP-hardness of 2-to-2 Games
Dor Minzer
10:30am|Simonyi Hall 101

The Unique-Games Conjecture is a central open problem in the field of PCP’s (Probabilistically Checkable Proofs) and hardness of approximation, implying tight inapproximability results for wide class of optimization problems.

We will discuss PCPs...

Oct
29
2018

Computer Science/Discrete Mathematics Seminar I

X-Ramanujan graphs: ex uno plures
Ryan O\'Donnell
3:30pm|Simonyi Hall 101

Let X be the infinite graph partially pictured below, the "free product graph" C_4 * C_4 * C_4. Let FinQuo(X) be the set of all finite graphs G that covered by X (i.e., that 'locally resemble' X; i.e., that consist of C_4's joined 3-to-a-vertex). A...

Oct
29
2018

Computer Science/Discrete Mathematics Seminar I

2-universality of random graphs.
Gal Kronenberg
11:15am|Simonyi Hall 101

For a family of graphs F, a graph G is F-universal if G contains every graph in F as a (not necessarily induced) subgraph. A natural candidate to serve as universal graph G is the random graph G(n,p). In this case, we want to find an optimal p for...

Oct
23
2018

Computer Science/Discrete Mathematics Seminar II

Small-Set Expansion on the Grassmann Graph.
Dor Minzer
10:30am|Simonyi Hall 101

A graph G is called a small set expander if any small set of vertices contains only a small fraction of the edges adjacent to it. This talk is mainly concerned with the investigation of small set expansion on the Grassmann Graphs, a study that was...

Oct
22
2018

Theoretical Machine Learning Seminar

Learning in Non-convex Games with an Optimization Oracle.
Alon Gonen
12:15pm|Princeton University, CS 302

We consider adversarial online learning in a non-convex setting under the assumption that the learner has an access to an offline optimization oracle. In the most general unstructured setting of prediction with expert advice, Hazan and Koren (2016)...

Oct
22
2018

Computer Science/Discrete Mathematics Seminar I

Approximating the edit distance to within a constant factor in truly subquadratic time.
Mike Saks
11:15am|Simonyi Hall 101

Edit distance is a widely used measure of similarity of two strings based on the minimum number of character insertions, deletions, and substitutions required to transform one string into the other. The edit distance can be computed exactly using a...

Oct
16
2018

Computer Science/Discrete Mathematics Seminar II

Asymptotic spectra and their applications I and II
10:30am|Simonyi Hall 101

These two talks will introduce the asymptotic rank and asymptotic subrank of tensors and graphs - notions that are key to understanding basic questions in several fields including algebraic complexity theory, information theory and combinatorics.

M...