Fall 2015

September 22, 2015 to September 23, 2015

Optimal Resource Allocation to Control Epidemic Outbreaks in Networked Populations

Speaker: Victor Preciado (University of Pennsylvania)

We study the problem of controlling epidemic outbreaks in networked populations by distributing protection resources throughout the nodes of the network. We assume that two types of protection resources are available: (i) Preventive...

September 29, 2015 to September 30, 2015

Some Limitations and Possibilities Toward Data-Driven Optimization

Speaker: Yaron Singer (Harvard University)

As we grow highly dependent on data for making predictions, we translate these predictions into models that help us make informed decisions.  But how do the guarantees we have on predictions translate to guarantees on decisions? In many...

October 6, 2015 to October 7, 2015

Applying Machine Learning in Online Revenue Management

Speaker: David Simchi-Levi (MIT)

In a dynamic pricing problem where the demand function is unknown a priori, price experimentation can be used for demand learning. In practice, however, online sellers are faced with a few business constraints, including the inability to...

October 20, 2015 to October 21, 2015

Teaching an Old Code a New Trick

Speaker: Rudi Urbanke (EPFL)

Our digital lives depend heavily on our ability to efficiently and reliably transmit information over long distances. It is therefore not surprising that much effort has been dedicated to devising clever schemes to accomplish this. I will go...

October 27, 2015 to October 28, 2015

Dynamics of Swarms and Opinions via Discrete Positive Systems

Speaker: Ulrich Krause (Universität Bremen)

In the talk a general model for swarm formation of birds (or other agents) will be presented. Swarm formation means that birds approach asymptotically the same velocity, whereby distances among them do converge. The main result offers...

November 3, 2015 to November 4, 2015

How to Learn Probability Without Learning

Speaker: Young-Han Kim (Univ. of California, San Diego)

As Laplace famously asked ``What is the probability that the sun will rise tomorrow?,'' inferring the probability underlying a given data sample is at the core of statistics. In this talk, I will present a general principle of assigning...

November 17, 2015 to November 18, 2015

Hiding the Source of a Rumor in Anonymous Messaging

Speaker: Sewoong Oh (University of Illinois)

Anonymous messaging platforms, such as Secret, Whisper and Yik Yak, have emerged as important social media for sharing one's thoughts without the fear of being judged by friends, family, or the public. Further, such anonymous platforms are...

November 18, 2015 to November 19, 2015

Train Faster, Generalize Better: Stability of Stochastic Gradient Descent

Speaker: Ben Recht (Univ. of California, Berkeley)

The most widely used optimization method in machine learning practice is the Stochastic Gradient Method (SGM).  This method has been used since the fifties to build statistical estimators, iteratively improving models by correcting errors...

November 24, 2015 to November 25, 2015

Coupling, Entropy and Costa's Corner-Point Conjecture

Speaker: Yury Polyanskiy (MIT)

In this talk I will describe a new method for bounding mutual information. It consists of two steps. First, we show that under regularity conditions two high-dimensional random variables that are close in terms of expected distance...

December 1, 2015 to December 2, 2015

Learning from Geometry

Speaker: Robert Calderbank (Duke University)

Deep neural networks have proved very successful in domains where large training sets are available, since their capacity can be increased by adding layers or by increasing the number of units in a layer. When the number of training samples...