LIDS Seminar Series

The LIDS seminar series serves as a focal point in the intellectual life of the lab.

September 10, 2018

Streaming Analytics for the Smart Grid

Le Xie (Texas A&M University)

How to conduct real-time analytics of streaming measurement data in the power grid? This talk offers a dynamic systems approach to utilizing data of different time scale for improved monitoring of the grid cyber and physical security. The first...

September 17, 2018

Regret of Queueing Bandits

Sanjay Shakkottai (University of Texas, Austin)

We consider a variant of the multiarmed bandit (MAB) problem where jobs or tasks queue for service, and service rates of different servers (agents) may be unknown. Such (queueing+learning) problems are motivated by a vast range of service systems,...

September 24, 2018

The Power of Multiple Samples in Generative Adversarial Networks

Sewoong Oh (University of Illinois, Urbana-Champaign)

We bring the tools from Blackwell’s seminal result on comparing two stochastic experiments from 1953, to shine a new light on a modern application of great interest: Generative Adversarial Networks (GAN). Binary hypothesis testing is at the center...

October 15, 2018

Augmented Lagrangians and Decomposition in Convex and Nonconvex Programming

Terry Rockafellar (University of Washington)

Multiplier methods based on augmented Lagrangians are attractive in convex and nonconvex programming for their stabilizing and even convexifying properties. They have widely been seen, however, as incompatible with taking advantage of a block-...

October 22, 2018

Distributed Statistical Estimation of High-Dimensional Distributions and Parameters under Communication Constraints

Ayfer Ozgur (Stanford University)

Modern data sets are often distributed across multiple machines and processors, and bandwidth and energy limitations in networks and within multiprocessor systems often impose significant bottlenecks on the performance of algorithms. Motivated by...

October 29, 2018

Computing with Assemblies

Christos Papadimitriou (Columbia University)

Computation in the brain has been modeled productively at many scales, ranging from molecules to dendrites, neurons, and synapses, all the way to the whole brain models useful in cognitive science. I will discuss recent work on an intermediate layer...

November 13, 2018

Functional Representation of Random variables and Applications

Abbas El Gamal (Stanford University)

The functional representation lemma says that given random variables X and Y, there exists a random variable Z, independent of X, and a function g(x,z) such that Y=g(X,Z). This lemma has had several applications in information theory aimed at...

November 19, 2018

Modeling Electricity Markets with Complementarity: Why It's Important (and Fun)

Benjamin Hobbs (Johns Hopkins University)

Electric power: done wrong, it drags the economy and environment down; done right, it could help to create a more efficient, brighter, and cleaner future. Better policy, planning, and operations models--both simple analytical, and complex...

November 26, 2018

Transportation Systems Resilience: Capacity-Aware Control and Value of Information

Saurabh Amin (MIT)

Resilience of a transportation system is its ability to operate under adverse events like incidents and storms. Availability of real-time traffic data provides new opportunities for predicting travelers’ routing behavior and implementing network...

December 10, 2018

Symmetry, Bifurcation, and Multi-Agent Decision-Making

Naomi Leonard (Princeton University)

Prof. Leonard will present nonlinear dynamics for distributed decision-making that derive from principles of symmetry and bifurcation. Inspired by studies of animal groups, including house-hunting honeybees and schooling fish, the nonlinear dynamics...

February 19, 2019

Safeguarding Privacy in Dynamic Decision-Making Problems

Kuang Xu (Stanford University)

The increasing ubiquity of large-scale infrastructures for surveillance and data analysis has made understanding the impact of privacy a pressing priority in many domains. We propose a framework for studying a fundamental cost vs. privacy tradeoff...

February 26, 2019

Coded Computing: A Transformative Framework for Resilient, Secure, and Private Distributed Learning

Salman Avestimehr (University of Southern California)

This talk introduces "Coded Computing”, a new framework that brings concepts and tools from information theory and coding into distributed computing to mitigate several performance bottlenecks that arise in large-scale machine learning, such as...

March 12, 2019

LIDS Seminar Series - Julien Hendrickx

Julien Hendrickx (UCLouvain)

March 19, 2019

LIDS Seminar Series - Marija Ilic

Marija Ilic (MIT)

April 9, 2019

LIDS Seminar Series - Gah-Yi Ban

Gah-Yi Ban (London Business School)

April 23, 2019

LIDS Seminar Series - Yoram Singer

Yoram Singer (Google)

April 30, 2019

LIDS Seminar Series - Youssef Marzouk

Youssef Marzouk (MIT)

May 14, 2019

LIDS Seminar Series - Mihaela van der Schaar

Mihaela van der Schaar (University of California, Los Angeles)