Quantum Computing
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 […]
FDS Colloquium: Brice Huang (MIT), “Algorithmic thresholds in random optimization problems”
Abstract: Optimizing high-dimensional functions generated from random data is a central problem in modern statistics and machine learning. As these objectives are highly non-convex, […]
S&DS Seminar: Adam Smith (BU), “Privacy in Machine Learning and Statistical Inference”
Zoom Link: https://yale.zoom.us/j/94223816617 Meeting ID: 942 2381 6617 Abstract: The results of learning and statistical inference reveal information about the data they use. This […]
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