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LIDS Seminar Series Mary Wootters

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LIDS Seminar Series Kamalika Chaudhuri

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LIDS Seminar Series Andreas Krause

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LIDS Seminar Series Magnus Egerstedt

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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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