• Combinatorial learning with set functions

    Learning problems that involve combinatorial objects are ubiquitous - they include the prediction of graphs, assignments, rankings, trees, groups of discrete labels or preferred sets of a user; the expression of prior structural knowledge for regularization, the identification of sets of important variables, or inference in discrete probabilistic models.

News

SDSC | May 25, 2017

Four Lectures on Causality

On May 10 and 11, Jonas Peters (University of Copenhagen) gave four lectures on causality. Slides and videos are available.


Youssef Marzouk MIT
MIT News | May 12, 2017

Illuminating Uncertainty

Youssef Marzouk aims to improve predictions of everything from underground pollution to daily weather.


MIT News | May 05, 2017

STATISTICS AND DATA SCIENCE CENTER HOLDS INAUGURAL CONFERENCE

SDSCon 2017 gathers community and showcases research projects that apply data science to major systems and issues


Upcoming

Stochastic and Statistics Seminar – Andrej Riteski September 08, 2017

Andrej Riteski (Princeton)

Stochastic and Statistics Seminar – Yuri Polyanskiy September 15, 2017

Yury Polyanskiy (MIT)

Stochastic and Statistics Seminar – Amir Dembo September 22, 2017

Amir Dembo (Stanford University)