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April 2020

On Using Graph Distances to Estimate Euclidean and Related Distances

Ery Arias-Castro (University of California, San Diego)

April 17, 2020 @ 11:00 am - 12:00 pm
online

Abstract:  Graph distances have proven quite useful in machine learning/statistics, particularly in the estimation of Euclidean or geodesic distances. The talk will include a partial review of the literature, and then present more recent developments on the estimation of curvature-constrained distances on a surface, as well as on the estimation of Euclidean distances based on an unweighted and noisy neighborhood graph. - About the Speaker:  Ery Arias-Castro received his Ph.D. in Statistics from Stanford University in 2004. He then took…

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May 2020

Naive Feature Selection: Sparsity in Naive Bayes

Alexandre d'Aspremont (ENS, CNRS)

May 1, 2020 @ 11:00 am - 12:00 pm
online

Abstract: Due to its linear complexity, naive Bayes classification remains an attractive supervised learning method, especially in very large-scale settings. We propose a sparse version of naive Bayes, which can be used for feature selection. This leads to a combinatorial maximum-likelihood problem, for which we provide an exact solution in the case of binary data, or a bound in the multinomial case. We prove that our bound becomes tight as the marginal contribution of additional features decreases. Both binary and…

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Data Science and Big Data Analytics: Making Data-Driven Decisions

May 4, 2020
online

Developed by 11 MIT faculty members at IDSS, this seven-week course is specially designed for data scientists, business analysts, engineers and technical managers looking to learn strategies to harness data. Offered by MIT xPRO. Course begins May 4, 2020.

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August 2020

SES & IDPS Dissertation Defense – Rui Sun

Rui Sun

August 19, 2020 @ 1:00 pm - 3:00 pm
online

Online Learning and Optimization in Operations Management ABSTRACT We study in this thesis online learning and optimization problems in operations management where we need to make decisions in the face of incomplete information and operational constraints in a dynamic environment. We first consider an online matching problem where a central platform needs to match a number of limited resources to different groups of users that arrive sequentially over time. The platform does not know the reward of each matching option…

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September 2020

Webinar: Inside the MITx MicroMasters Program in Statistics and Data Science

September 23, 2020 @ 11:00 am - 12:00 pm
Online

Ready to start your data science journey? To help train for this in-demand field, IDSS has created the MITx MicroMasters® Program in Statistics and Data Science. In this 60-minute engaging and interactive webinar, you will: Learn more about the courses in the program. Find out how these courses could bring you to MIT or other universities around the world for a graduate program. Hear about the exclusive benefits for learners who upgrade to the MicroMasters Program track. Get real-time answers to your questions.…

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January 2021

Data Science and Big Data Analytics: Making Data Driven Decisions

January 25
Online

Developed by 10 MIT faculty members at IDSS, this seven-week course is specially designed for data scientist, business analyst, engineers and technical managers looking to learn the latest theories and strategies to harness data. Offered by MIT xPRO.

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February 2021

MIT Sports Summit 2021

February 4 - February 5
online

The MIT Sports Lab invites you to the MIT Sports Summit 2021, a virtual event hosted on Thursday, Feb. 4th and Friday, Feb. 5th! It is an opportunity for the MIT community to interface with the Sports Lab’s affiliates and partners, sharing advances, challenges, and passions at the intersection of engineering and sports. We are featuring talks from leaders in industry and academia, as well as interactive sessions showcasing student research posters and sports tech startups. This is an invitation-only event for current MIT community…

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March 2021

UTEC-IDSS MicroMasters in Statistics and Data Science Webinar

March 4 @ 5:00 pm - 6:00 pm
online

Join this joint webinar on March 4th to learn more about this blended learning Masters' program offered by UTEC (Universidad Tecnológica del Uruguay) with the academic support of the Institute for Data, Systems, and Society. 

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WiDS Cambridge 2021

March 11 @ 10:00 am - 3:00 pm
Online

For the fifth year in a row, Harvard, MIT, Microsoft Research New England, and Broad Institute are proud to collaborate with Stanford University to bring the Women in Data Science (WiDS) conference to Cambridge, Massachusetts. ​This virtual, one-day technical conference will feature an all-female line up of speakers from academia and industry to talk about the latest data science-related research in a number of domains, to learn how leading-edge companies are leveraging data science for success, and to connect with potential mentors, collaborators,…

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April 2021

AI for Healthcare Equity Conference

April 12
online

The potential of AI to bring equity in healthcare has spurred significant research efforts across academia, industry and government. Racial, gender and socio-economic disparities have traditionally afflicted healthcare systems in ways that are difficult to detect and quantify. New AI technologies, however, provide a platform for change.

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