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February 2020

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

February 3
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

Weijie Su (University of Pennsylvania)

February 7 @ 11:00 am - 12:00 pm
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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Diffusion K-means Clustering on Manifolds: provable exact recovery via semidefinite relaxations

Xiaohui Chen (University of Illinois at Urbana-Champaign)

February 14 @ 11:00 am - 12:00 pm
E18-304

Abstract: We introduce the diffusion K-means clustering method on Riemannian submanifolds, which maximizes the within-cluster connectedness based on the diffusion distance. The diffusion K-means constructs a random walk on the similarity graph with vertices as data points randomly sampled on the manifolds and edges as similarities given by a kernel that captures the local geometry of manifolds. Thus the diffusion K-means is a multi-scale clustering tool that is suitable for data with non-linear and non-Euclidean geometric features in mixed dimensions. Given…

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TBD

Rina Foygel Barber (University of Chicago)

February 21 @ 11:00 am - 12:00 pm
E18-304

TBD

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TBD

Kavita Ramanan (Brown University)

February 28 @ 11:00 am - 12:00 pm
E18-304

TBD

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March 2020

Women in Data Science (WiDS) – Cambridge, MA

March 6 @ 8:00 am - 5:00 pm
Microsoft NERD Center

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

Suriya Gunasekar (Microsoft Research)

March 6 @ 11:00 am - 12:00 pm
E18-304

TBD

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TBD

Daniel Spielman (Yale University)

March 13 @ 8:00 am - 5:00 pm
E18-304

TBD

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TBD

Hilary Finucane (Broad Institute)

March 20 @ 11:00 am - 12:00 pm
E18-304

TBD

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April 2020

SDSCon 2020

April 3 @ 9:00 am - 5:00 pm
MIT Media Lab Multi-Purpose Room: E14-674

SDSCon 2020 is the fourth annual celebration of the statistics and data science community at MIT and beyond, organized by MIT’s Statistics and Data Science Center (SDSC). Please see the conference website for registration information.

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