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January 2021

Data Science and Big Data Analytics: Making Data Driven Decisions

January 25, 2021

online

Developed by 10 MIT faculty members at IDSS, this seven-week course is specially designed for data scientist, business analyst, engineers and technical managers looking to learn the latest theories and strategies to harness data. Offered by MIT xPRO.

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December 2020

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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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 of 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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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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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. Zoom information will be emailed to registrants. Register here.

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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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A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Net

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

Rong Ge (Duke University)

online

Abstract: The training of neural networks optimizes complex non-convex objective functions, yet in practice simple algorithms achieve great performances. Recent works suggest that over-parametrization could be a key ingredient in explaining this discrepancy. However,  current theories could not fully explain the role of over-parameterization. In particular, they either work in a regime where neurons don't move much, or require large number of neurons. In this paper we develop a local convergence theory for mildly over-parameterized two-layer neural net. We show that…

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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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November 2020

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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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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