Events
Statistics & Data Science Seminar
S&DS Seminar: Eric Sun (Stanford), “Machine learning for aging and spatial omics”
Abstract: Aging is a highly complex process and the greatest risk factor for many chronic diseases including cardiovascular disease, dementia, stroke, diabetes, and cancer. […]
S&DS Seminar: Xiang Zhou (University of Michigan), “Statistical and Computational Methods for Genetic and Genomic Studies”
Abstract: I will talk about a few statistical and computational methods we have developed over the past few years to give you a flavor of the type of work […]
S&DS Seminar: Allen Liu (MIT), “Learning Theoretic Foundations for Modern (Data) Science”
Abstract: In this talk, I will explain how fundamental problems in computational learning theory are at the heart of modern problems in machine learning and […]
S&DS Seminar: Anya Katsevich (MIT), “High-dimensional Laplace-type Asymptotics”
Abstract: We derive an asymptotic expansion of posterior integrals in the regime in which dimension grows together with sample size. We also present related […]
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