Statistics & Data Science Seminar


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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