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January 2020

25th Annual LIDS Student Conference

January 29, 2020 @ 8:00 am - January 30, 2020 @ 5:00 pm

32-141

Welcome to the 24th annual LIDS Student Conference! The annual LIDS student conference provides an opportunity for graduate students to present their research to peers as well as to the community at large. The conference will be held on January 29 – 30, at MIT's Stata Center Rooms 32-141.

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February 2020

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

February 3, 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 February 3, 2020.

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Gaussian Differential Privacy, with Applications to Deep Learning

February 7, 2020 @ 11:00 am - 12:00 pm

Weijie Su (University of Pennsylvania)

E18-304

Abstract: Privacy-preserving data analysis has been put on a firm mathematical foundation since the introduction of differential privacy (DP) in 2006. This privacy definition, however, has some well-known weaknesses: notably, it does not tightly handle composition. This weakness has inspired several recent relaxations of differential privacy based on the Renyi divergences. We propose an alternative relaxation we term “f-DP”, which has a number of nice properties and avoids some of the difficulties associated with divergence based relaxations. First, f-DP preserves…

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TBD

February 14, 2020 @ 11:00 am - 12:00 pm

Xiaohui Chen (MIT, University of Illinois at Urbana-Champaign )

E18-304

TBD

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TBD

February 21, 2020 @ 11:00 am - 12:00 pm

Rina Foygel Barber (University of Chicago)

E18-304

TBD

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TBD

February 28, 2020 @ 11:00 am - 12:00 pm

Kavita Ramanan (Brown University)

E18-304

TBD

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March 2020

Women in Data Science (WiDS) – Cambridge, MA

March 6, 2020 @ 8:00 am - 5:00 pm

Microsoft NERD Center, Cambridge

This one-day technical conference brings together local academic leaders,  industrial professionals and students to hear 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, and others in the field.

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TBD

March 6, 2020 @ 11:00 am - 12:00 pm

Suriya Gunasekar (Microsoft Research)

E18-304

TBD

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TBD

March 13, 2020 @ 11:00 am - 12:00 pm

Daniel Spielman (Yale University)

E18-304

TBD

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TBD

March 20, 2020 @ 11:00 am - 12:00 pm

Hilary Finucane (Broad Institute)

E18-304

TBD

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