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E18-304
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Rohini Pande – Henry J. Heinz II Professor of Economics and Director, Economic Growth Center (Yale University)
E18-304 , United StatesAbout the speaker: Rohini Pande is the Henry J. Heinz II Professor of Economics and Director of the Economic Growth Center, Yale University. She is a co-editor of American Economic Review: Insights. Pande’s research is largely focused on how formal and informal institutions shape power relationships and patterns of economic and political advantage in society,…
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E18-304 , United StatesTBD
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E18-304 , United StatesTBD
Diffusion K-means Clustering on Manifolds: provable exact recovery via semidefinite relaxations
E18-304 , United StatesAbstract:Â 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…
Gaussian Differential Privacy, with Applications to Deep Learning
E18-304 , United StatesAbstract: 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…
The Statistical Finite Element Method
E18-304 , United StatesAbstract: The finite element method (FEM) is one of the great triumphs of modern day applied mathematics, numerical analysis and software development. Every area of the sciences and engineering has been positively impacted by the ability to model and study complex physical and natural systems described by systems of partial differential equations (PDE) via the…
Inferring the Evolutionary History of Tumors
E18-304 , United StatesAbstract: Bulk sequencing of tumor DNA is a popular strategy for uncovering information about the spectrum of mutations arising in the tumor, and is often supplemented by multi-region sequencing, which provides a view of tumor heterogeneity. The statistical issues arise from the fact that bulk sequencing makes the determination of sub-clonal frequencies, and other quantities…
SES Dissertation Defense – Ian Schneider
E18-304 , United StatesMarket Design Opportunities for an Evolving Power System
Flexible Perturbation Models for Robustness to Misspecification
E18-304 , United StatesAbstract: In many applications, there are natural statistical models with interpretable parameters that provide insight into questions of interest. While useful, these models are almost always wrong in the sense that they only approximate the true data generating process. In some cases, it is important to account for this model error when quantifying uncertainty in…