Laboratory for Information and Decision Systems (LIDS)

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Guy Bresler sits on the bottom step of a spiral staircase.
September 30, 2022

Investigating at the interface of data science and computing

Guy Bresler builds mathematical models to understand multifaceted, interdisciplinary engineering problems that have far-reaching applications.

Doctoral Thesis: Towards Deployable Robust Text Classifiers

Lei Xu Abstract:  Classification has been studied for decades as a fundamental task in natural language processing. In this dissertation, we aim to develop more deployable and robust

Doctoral Thesis: Polynomial Structure in Semidefinite Relaxations and Non-Convex Formulations

Chenyang Yuan Abstract:Semidefinite relaxation is a powerful tool used to approximate otherwise intractable non-convex problems, but tend to run into scalability issues. The goal of this thesis is

Doctoral Thesis: The Modeling Spectrum of Data-Driven Decision Making

Xianglin Flora Meng Abstract: Data-driven decision-making has become an essential part of modern life by virtue of the rapid growth in data, the massive improvements in computing power,

July 15, 2022

Costis Daskalakis appointed inaugural Avanessians Professor in the MIT Schwarzman College of Computing

The MIT Stephen A. Schwarzman College of Computing has named Costis Daskalakis as the inaugural holder of the Avanessians Professorship. His chair began on July 1. Daskalakis is

May 18, 2022

Living better with algorithms

Graduate student Sarah Cen explores the interplay between humans and artificial intelligence systems, to help build accountability and trust.

May 17, 2022

On the road to cleaner, greener, and faster driving

Researchers use artificial intelligence to help autonomous vehicles avoid idling at red lights.

Doctoral Thesis: Algorithms and Barriers in Inference in High-Dimensional Statistics and in Random Combinatorial Structures

Eren C. Kizildag ABSTRACT Problems involving randomness and high-dimensionality are ubiquitous across many scientific disciplines, spanning from machine learning and statistics to medicine and social sciences. While such

LIDS & Stats Tea Talk | Sarah Cen (LIDS)

Speaker: Sarah Cen MIT Affiliation: LIDS Title: Auditing algorithmic filtering on social media Date: Wednesday, April 20, 2022 Time: 4:00 PM to 4:30 PM Location: LIDS Lounge Abstract: By

Alfred Spector

Visiting Scholar

alfreds@mit.edu

(914) 325-6708

Office: 32-D630