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September 2021

Representation and generalization

September 24, 2021 @ 11:00 am - 12:00 pm

Boaz Barak (Harvard University)

E18-304

Abstract:  Self-supervised learning is an increasingly popular approach for learning representations of data that can be used for downstream representation tasks. A practical advantage of self-supervised learning is that it can be used on unlabeled data. However, even when labels are available, self-supervised learning can be competitive with the more "traditional" approach of supervised learning.   In this talk we consider "self supervised + simple classifier (SSS)" algorithms, which are obtained by first learning a self-supervised classifier on data, and…

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Predicting Failure Cascades in Large Scale Power Systems via the Influence Model Framework

September 29, 2021 @ 4:00 pm - 4:30 pm

Xinyu Wu (LIDS & IDSS)

32 – LIDS Lounge

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October 2021

Causal Matrix Completion

October 1, 2021 @ 11:00 am - 12:00 pm

Devavrat Shah (MIT)

E18-304

Matrix completion is the study of recovering an underlying matrix from a sparse subset of noisy observations. Traditionally, it is assumed that the entries of the matrix are “missing completely atrandom” (MCAR), i.e., each entry is revealed at random, independent of everything else, with uniform probability. This is likely unrealistic due to the presence of “latent confounders”, i.e., unobserved factors that determine both the entries of the underlying matrix and the missingness pattern in the observed matrix.  In general, these…

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LIDS & Stats Tea Talk – Yi Tian

October 6, 2021 @ 4:00 am - 4:30 pm

Yi Tian (LIDS & IDSS)

32 – LIDS Lounge

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TBD

October 8, 2021 @ 11:00 am - 12:00 pm

Yihong Wu (Yale University)

E18-304

TBD

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LIDS & Stats Tea Talk – Anish Agarwal

October 13, 2021 @ 4:00 pm - 4:30 pm

Anish Agarwal (LIDS & IDSS)

32 – LIDS Lounge

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TBD

October 15, 2021 @ 11:00 am - 12:00 pm

Yuting Wei (Wharton School at UPenn )

E18-304

TBD

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The Anti-Eviction Mapping Project

October 18, 2021 @ 3:00 pm - 4:00 pm

Erin McElroy , Mary Shi (University of Texas at Austin , UC Berkeley)

Online

This talk will focus on the AEMP’s new print atlas Counterpoints: A San Francisco Bay Area Atlas of Displacement and Resistance, an online lookup tool that collates data on corporate landlord structures, property ownership, eviction histories, and LLC/LP filings into a searchable interface to empower tenant organizing.

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LIDS & Stats Tea Talk – Jiawei Zhang

October 20, 2021 @ 4:00 pm - 4:30 pm

Jiawei Zhang (LIDS)

32 – LIDS Lounge

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MIT Policy Hackathon 2021: Connecting Through Challenges

October 22, 2021 - October 24, 2021

This year’s hackathon will be a bright weekend of collaborating and brainstorming over pressing policy issues. While we are planning for a hybrid online/in-person event, this is subject to change based on the latest COVID guidelines. Save the date and stay updated via the website FAQ, email listserv, and social media!

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