Laboratory for Information and Decision Systems (LIDS)

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May 10, 2023

Researchers create a tool for accurately simulating complex systems

The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.

Doctoral Thesis: Channel Comparison Methods and Statistical Problems on Graphs

Yuzhou Gu Abstract:Initially driven by channel coding, information theory has developed alarge collection of tools for measuring and comparing effectiveness ofinformation channels. These tools have found applications in

April 3, 2023

Caroline Uhler named SIAM Fellow for 2023

In the award announcement, SIAM noted that Uhler is being honored for her “fundamental contributions at the interface of statistics, machine learning, and biology”.

Doctoral Thesis: Near-optimal Learning in Sequential Games

Tiancheng Yu Abstract: In the presence of multiple learning agents, sequential decision making problems become sequential games. Instead of finding an optimal policy as in single agent setting,

The headshots of all six MIT-related Fellows for ACM 2022.
January 27, 2023

Six With Ties to MIT Honored as ACM Fellows

Six distinguished scientists with ties to MIT were recognized “for significant contributions in areas including cybersecurity, human-computer interaction, mobile computing, and recommender systems among many other areas.”

Marija Ilic

Adjunct Professor, [EE]; Senior Research Scientist, LIDS

ilic@mit.edu

617-324-0645

Office: 32-D582

Doctoral Thesis: The Traveling Salesman Problem Under Dynamic Constraints

Aviv Adler Abstract: The Traveling Salesman Problem (TSP) is a foundational problem in the fields of theoretical computer science and optimization in which an agent is tasked with

LIDS Seminar Series-Dimitri Bertsekas (MIT)

Title: Lessons from AlphaZero for Control System Design and Discrete Optimization Speaker: Dimitri Bertsekas (MIT) Date: Tuesday, October 18, 2022 Time: 4:00 PM – 6:00 PM Location: Stata Center, 32-155 Zoom Link: TBA Abstract:

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