January 2020
25th Annual LIDS Student Conference
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.
Find out more »February 2020
Data Science and Big Data Analytics: Making Data-Driven Decisions
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.
Find out more »Gaussian Differential Privacy, with Applications to Deep Learning
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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Xiaohui Chen (MIT, University of Illinois at Urbana-Champaign )
E18-304
TBD
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Rina Foygel Barber (University of Chicago)
E18-304
TBD
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Kavita Ramanan (Brown University)
E18-304
TBD
Find out more »March 2020
Women in Data Science (WiDS) – Cambridge, MA
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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Suriya Gunasekar (Microsoft Research)
E18-304
TBD
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Daniel Spielman (Yale University)
E18-304
TBD
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Hilary Finucane (Broad Institute)
E18-304
TBD
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