LIDS Seminar Series

The LIDS seminar series serves as a focal point in the intellectual life of the lab. Seminar videos, when available, can be found on the LIDS YouTube channel.

February 23, 2021

Challenges in Reliable Machine Learning

Kamalika Chaudhuri (University of California San Diego)

As machine learning is increasingly deployed, there is a need for reliable and robust methods that go beyond simple test accuracy.  In this talk, we will discuss two challenges that arise in reliable machine learning. The first is robustness to...


March 9, 2021

Balancing Covariates In Randomized Experiments Using The Gram–Schmidt Walk

Daniel Spielman (Yale)

Randomized Controlled Trials (RCTs) are the principal way we estimate the effectiveness of new medications, procedures, policies, and interventions. In a typical medical trial, the subjects are divided into two (or more) groups. One group of...


March 16, 2021

Statistical Learning in Operations: The Interplay Between Online and Offline Learning

David Simchi-Levi (MIT)

Traditionally, statistical learning is focused on either (i) online learning where data is generated online according to some unknown model; or (ii) offline learning where the entire data is available at the beginning of the process. In this talk,...


April 13, 2021

LIDS Seminar - Ashia Wilson (MIT)

Ashia Wilson (MIT)