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November 2020

LIDS Seminar – Andreas Krause (ETH Zürich)

November 23, 2020 @ 4:00 pm - 5:00 pm

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)

November 30, 2020 @ 4:00 pm - 5:00 pm

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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December 2020

Train Simultaneously, Generalize Better: Stability of Gradient-Based Minimax Learners

December 2, 2020 @ 4:00 pm - 4:30 pm

Farzan Farnia (LIDS)

Online

ABSTRACT The success of minimax learning problems of generative adversarial networks (GANs) and adversarial training has been observed to depend on the minimax optimization algorithm used for their training. This dependence is commonly attributed to the convergence speed and robustness properties of the underlying optimization algorithm. In this talk, we present theoretical and numerical results indicating that the optimization algorithm also plays a key role in the generalization performance of the trained minimax model. To this end, we analyze the…

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TBD

December 4, 2020 @ 11:00 am - 12:00 pm

Rong Ge (Duke University)

online

TBD

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Mobility Forum: On demand urban aerial mobility planning: an adaptive discretization approach

December 4, 2020 @ 12:00 pm - 1:00 pm

Alexandre Jacquillat

online

To build a dynamic community among the mobility and transportation researchers, the MIT Mobility Initiative (MMI) is organizing the “Mobility Forum: Frontier of Mobility Research,” a weekly seminar series showcasing the MIT scholarship. Register for Zoom info.

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Lessons from the ESI Rapid Response Group

December 4, 2020 @ 3:00 pm - 4:00 pm

John Fernandez (MIT)

online

Speaker: John Fernandez, MIT The Research to Policy Engagement Initiative builds and connects a community of researchers who can learn, apply, and contribute to developing best practices in bridging knowledge to action on societal challenges. Each event has a unique registration link. Details will be added as they become available.

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Mass Incarceration and the Challenge of Social Research

December 7, 2020 @ 4:00 pm - 5:00 pm

Bruce Western (Columbia University)

online

IDSS will host Prof. Bruce Western as part of the Distinguished Speaker Seminar series. Prof. Westerns research has examined the causes, scope, and consequences of the historic growth in U.S. prison populations. He is Co-Director of the Justice Lab at Columbia University.

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LIDS & Stats Tea Talk – Xiang Cheng (LIDS)

December 9, 2020 @ 4:00 pm - 4:30 pm

Xiang Cheng (LIDS)

Online

Tea talks are 20-minute-long informal chalk-talks for the purpose of sharing ideas and making others aware about some of the topics that may be of interest to the LIDS and Stats audience. If you are interested in presenting in the upcoming tea talks, please email lids_stats_tea@mit.edu.

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Mobility Forum: Platform Design for Ride Hail Markets

December 11, 2020 @ 12:00 pm - 1:00 pm

Tobias Salz

online

To build a dynamic community among the mobility and transportation researchers, the MIT Mobility Initiative (MMI) is organizing the “Mobility Forum: Frontier of Mobility Research,” a weekly seminar series showcasing the MIT scholarship. Register for Zoom info.

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April 2021

SDSCon 2021

April 2, 2021 @ 9:00 am - 5:30 pm

SDSCon 2021 is the fourth celebration of the statistics and data science community at MIT and beyond, organized by MIT’s Statistics and Data Science Center (SDSC). Please see the conference website for more information.

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