January 2021
Data Science and Big Data Analytics: Making Data Driven Decisions
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.
Find out more »December 2020
Mobility Forum: Platform Design for Ride Hail Markets
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.
Find out more »LIDS & Stats Tea Talk – Xiang Cheng (LIDS)
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.
Find out more »Mass Incarceration and the Challenge of Social Research
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.
Find out more »Lessons from the ESI Rapid Response Group
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.
Find out more »Mobility Forum: On demand urban aerial mobility planning: an adaptive discretization approach
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.
Find out more »A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Net
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…
Find out more »Train Simultaneously, Generalize Better: Stability of Gradient-Based Minimax Learners
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…
Find out more »November 2020
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.
Find out more »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.
Find out more »