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March 2018

The Power of Multiple Samples in Generative Adversarial Networks

March 13 @ 3:00 pm - 4:00 pm

Sewoong Oh ( University of Illinois, Urbana-Champaign )


Abstract 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 of training GANs, where a trained neural network (called a critic) determines whether a given sample is from the real data or the generated (fake) data. By jointly training the generator and the critic, the hope is that eventually, the trained…

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February 2018

Safe Learning in Robotics

February 27 @ 3:00 pm - 4:00 pm

Claire Tomlin ( University of California, Berkeley )


Abstract A great deal of research in recent years has focused on robot learning. In many applications, guarantees that specifications are satisfied throughout the learning process are paramount. For the safety specification, we present a controller synthesis technique based on the computation of reachable sets using optimal control. We show recent results in system decomposition to speed up this computation, and how offline computation may be used in online applications. We then present a method combining reachability with machine learning,…

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Submodular Optimization: From Discrete to Continuous and Back

February 20 @ 3:00 pm - 4:00 pm

Amin Karbasi (Yale University)


Abstract Many procedures in statistics and artificial intelligence require solving non-convex problems. Historically, the focus has been to convexify the non-convex objectives. In recent years, however, there has been significant progress to optimize non-convex functions directly. This direct approach has led to provably good guarantees for specific problem instances such as latent variable models, non-negative matrix factorization, robust PCA, matrix completion, etc. Unfortunately, there is no free lunch and it is well known that in general finding the global optimum…

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Supervisory Control of Discrete Event Systems: A Retrospective and Two Recent Results on Security and Privacy

February 13 @ 3:00 pm - 4:00 pm

Stephane Lafortune (University of Michigan)


Abstract Lafortune will begin with a brief retrospective of the theory of supervisory control of discrete event systems, initiated in the seminal work of Ramadge & Wonham over 30 years ago, and compare it with recent work in formal methods in control. He will then present results from his group on two problems: (i) sensor deception attacks in the supervisory control layer of a cyber-physical system; and (ii) obfuscation of system secrets by insertion of fictitious events in the output…

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December 2017

LIDS Seminar Series: Alexandre d’Aspremont (École Normale Supérieure )

December 5, 2017 @ 4:00 pm - 5:00 pm

MIT Building 32, Room 141

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November 2017

LIDS Seminar Series: Babak Hassibi (California Institute of Technology)

November 29, 2017 @ 4:00 pm - 5:00 pm

MIT Building 32, Room 141

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LIDS Seminar Series

November 14, 2017 @ 4:00 pm - 5:00 pm

Massimo Franceschetti (University of California, San Diego)

MIT Building 32, Room 141

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October 2017

LIDS Seminar Series: Noga Alon (Hebrew University of Jerusalem)

October 31, 2017 @ 4:00 pm - 5:00 pm

32-G449 (Kiva)

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LIDS Seminar Series: Alexandre Tsybakov (ENSAE ParisTech)

October 24, 2017 @ 4:00 pm - 5:00 pm

MIT Building 32, Room 141

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LIDS Seminar Series: Vijay Balasubramanian (University of Pennsylvania)

October 17, 2017 @ 4:00 pm - 5:00 pm

MIT Building 32, Room 141

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