Distinguished speakers provide an overview and discuss recent progress in research areas spanning communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. Intended for a broad audience.

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LIDS Seminar – Mary Wootters (Stanford)

Mary Wootters (Stanford)
Online

TBD Bio: ******************************************** The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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LIDS Seminar – Kamalika Chaudhuri (University of California San Diego)

Kamalika Chaudhuri (University of California San Diego)
Online

TBD Bio: ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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LIDS Seminar – Andreas Krause (ETH Zürich)

Andreas Krause (ETH Zürich)
Online

TBD Bio: ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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LIDS Seminar – Magnus Egerstedt (Georgia Institute of Technology)

Magnus Egerstedt (Georgia Institute of Technology)
Online

TBD Bio: ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Challenges in Reliable Machine Learning

Kamalika Chaudhuri (University of California San Diego)
Zoom

ABSTRACT As machine learning is increasingly deployed, there is a need for reliable and robust methods that go beyond simple test accuracy.  In this talk, we will discuss two challenges that arise in reliable machine learning. The first is robustness to adversarial examples, which are small imperceptible perturbations to legitimate test inputs that cause machine learning classifiers to misclassify. While recent work has proposed many attacks and defenses, why exactly they arise still remains a mystery. In this talk, we'll…

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Balancing Covariates In Randomized Experiments Using The Gram–Schmidt Walk

Daniel Spielman (Yale)
Zoom

ABSTRACT Randomized Controlled Trials (RCTs) are the principal way we estimate the effectiveness of new medications, procedures, policies, and interventions. In a typical medical trial, the subjects are divided into two (or more) groups. One group of subjects is given the new medicine, and the other is given a placebo or old medicine. Randomization is used to ensure that these test and control groups are probably similar and enables us to make statistical statements about the estimated treatment effects. When we know nothing…

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