Laboratory for Information and Decision Systems (LIDS)

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Doctoral Thesis: Simulating Dynamical Systems from Data

Abdullah Alomar Abstract:  The ever-increasing availability of data from dynamical systems offers an opportunity for automated data-driven decision-making in various domains. However, a significant barrier to realizing this

August 23, 2023

Artificial intelligence for augmentation and productivity

The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.

August 3, 2023

Sanjoy Mitter, interdisciplinary explorer, dies at 89.

The co-founder and director of CICS, which later became LIDS, blended intellectual rigor with curiosity.

Doctoral Thesis: On The Performance Of The Maximum Likelihood Over Large Models

Gil Kur Abstract: This dissertation investigates non-parametric regression over large function classes, specifically,non-Donsker classes. We will present the concept of non-Donsker classes and study the statisticalperformance of Least Squares

Doctoral Thesis: Algorithmic Interactions With Strategic Users: Incentives, Interplay, and Impact

Alireza Fallah Abstract: The societal challenges posed by machine learning algorithms are becoming increasingly important, and to effectively study them, it is crucial to incorporate the incentives and

June 12, 2023

Department of EECS announces 2023 promotions

The department is proud to announce multiple promotions this year.

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,