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Active learning with seed examples and search queries

E18-304 , United States

The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features…

The Landscape of Some Statistical Problems

E18-304 , United States

The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

SDSCon 2017: Statistics and Data Science Conference

34-401 (Grier Room) The Stata Center (34-401), 50 Vassar Street, Cambridge, United States

SDSCon 2017 is a celebration of MIT’s statistics and data science community organized by MIT’s Statistics and Data Science Center (SDSC).

Recent Methodological Advances in Automated Causal Discovery

32-141 , United States

IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks, causal inference, data privacy, computational social science and other areas that are impacted by the emergence of big data.  

Testing properties of distributions over big domains

32-141 , United States

The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features…

Some related phase transitions in phylogenetics and social network analysis 

E18-304 , United States

The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features…

LIDS Smart Urban Infrastructures Workshop

MIT Media Lab (E14-648) , United States

The LIDS Smart Urban Infrastructures Workshop is a two-day event showcasing current work and emerging research opportunities at the intersection of smart services and urban infrastructure systems.

Invariance and Causality

E18-304 , United States

The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features…

Stable Optimal Control and Semicontractive Dynamic Programming

32-141 , United States

The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe

E18-304 , United States

The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features…


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