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February 2021

LIDS & Stats Tea Talk – Shuvomoy Das Gupta (ORC)

February 24, 2021 @ 4:00 pm - 5:00 pm

Shuvomoy Das Gupta (ORC)

Tea talks are 20-minute-long informal chalk-talks for the purpose of sharing ideas and making others aware about some of the topics that may be of interest to the LIDS and Stats audience. If you are interested in presenting in the upcoming tea talks, please email lids_stats_tea@mit.edu.

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Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models

February 26, 2021 @ 11:00 am - 12:00 pm

Yury Polyanskiy (MIT)

online

Abstract: Introduced by Kiefer and Wolfowitz 1956, the nonparametric maximum likelihood estimator (NPMLE) is a widely used methodology for learning mixture models and empirical Bayes estimation. Sidestepping the non-convexity in mixture likelihood, the NPMLE estimates the mixing distribution by maximizing the total likelihood over the space of probability measures, which can be viewed as an extreme form of over parameterization. In this work we discover a surprising property of the NPMLE solution. Consider, for example, a Gaussian mixture model on…

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Mobility Forum: Navigating The New Transportation Demands Of An Aging Society

February 26, 2021 @ 12:00 pm - 1:00 pm

Joe Coughlin (MIT AgeLab)

online

A weekly seminar series, the MIT Mobility Forum offers an opportunity to showcase the groundbreaking transportation research occurring across the Institute. Faculty members and researchers present their latest findings, ideas, and innovations, followed by a lively discussion.  More details can be found at: www.mobilityinitative.mit.edu/mobilityforum Please register at Zoom prior to the seminar.

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March 2021

Thinking Outside Disciplinary Boundaries: Applying Behavioral Insights to the Design of Public Policy

March 2, 2021 @ 3:00 pm - 4:00 pm

Brigitte Madrian (Brigham Young University)

Online

Please join us on Tuesday, March 2, 2021 at 3:00pm for the Distinguished Speaker Seminar with Brigitte Madrian (Brigham Young University).

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LIDS & Stats Tea Talk – Raj Agrawal (CSAIL)

March 3, 2021 @ 4:00 pm - 5:00 pm

Raj Agrawal (CSAIL)

Zoom

Tea talks are 20-minute-long informal chalk-talks for the purpose of sharing ideas and making others aware about some of the topics that may be of interest to the LIDS and Stats audience. If you are interested in presenting in the upcoming tea talks, please email lids_stats_tea@mit.edu.

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UTEC-IDSS MicroMasters in Statistics and Data Science Webinar

March 4, 2021 @ 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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Detection Thresholds for Distribution-Free Non-Parametric Tests: The Curious Case of Dimension 8

March 5, 2021 @ 11:00 am - 12:00 pm

Bhaswar B. Bhattacharya (University of Pennsylvania, Wharton School)

online

Abstract: Two of the fundamental problems in non-parametric statistical inference are goodness-of-fit and two-sample testing. These two problems have been extensively studied and several multivariate tests have been proposed over the last thirty years, many of which are based on geometric graphs. These include, among several others, the celebrated Friedman-Rafsky two-sample test based on the minimal spanning tree and the K-nearest neighbor graphs, and the Bickel-Breiman spacings tests for goodness-of-fit. These tests are asymptotically distribution-free, universally consistent, and computationally efficient…

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Balancing Covariates In Randomized Experiments Using The Gram–Schmidt Walk

March 9, 2021 @ 4:00 pm - 5:00 pm

Daniel Spielman (Yale)

Zoom

ABSTRACT Randomized Controlled Trials (RCTs) are the principal way we estimate the effectiveness of new medications, procedures, policies, and interventions. In a typical medical trial, the subjects are divided into two (or more) groups. One group of subjects is given the new medicine, and the other is given a placebo or old medicine. Randomization is used to ensure that these test and control groups are probably similar and enables us to make statistical statements about the estimated treatment effects. When we know nothing…

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LIDS & Stats Tea Talk – James Siderius (EECS)

March 10, 2021 @ 4:00 pm - 5:00 pm

James Siderius (EECS)

Zoom

Tea talks are 20-minute-long informal chalk-talks for the purpose of sharing ideas and making others aware of some of the topics that may be of interest to the LIDS and Stats audience. If you are interested in presenting in the upcoming tea talks, please email lids_stats_tea@mit.edu.

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WiDS Cambridge 2021

March 11, 2021 @ 10:00 am - 3:00 pm

Online

WiDS Cambridge 2021

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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