September 2021
In Defense of Fluid Democracy
Manon Revel (LIDS & IDSS)
32 – LIDS Lounge
Representation and generalization
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…
Find out more »Predicting Failure Cascades in Large Scale Power Systems via the Influence Model Framework
Xinyu Wu (LIDS & IDSS)
32 – LIDS Lounge
October 2021
LIDS & Stats Tea Talk – Yi Tian
Yi Tian (LIDS & IDSS)
32 – LIDS Lounge
LIDS & Stats Tea Talk – Anish Agarwal
Anish Agarwal (LIDS & IDSS)
32 – LIDS Lounge
TBD
Yuting Wei (Wharton School at UPenn )
E18-304
TBD
Find out more »The Anti-Eviction Mapping Project
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.
Find out more »LIDS & Stats Tea Talk – Jiawei Zhang
Jiawei Zhang (LIDS)
32 – LIDS Lounge
