Upcoming Seminars
November 2021
November 3, 2021 - 2:30pm | |||
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How to apply manifold learning and random matrix theory to study complicated time series?November 3, 2021 - 2:30pm Abstract: Compared with the snapshot health record information, long-term and high-frequency physiological time series provide health information... |
Speaker: Hau-Tieng Wu, Duke | |
November 10, 2021 - 2:30pm | |||
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Manifold learning with non-Euclidean norms, and orbit recoveryNovember 10, 2021 - 2:30pm Abstract: In this talk, I will discuss a couple general mathematical frameworks that have arisen in the study of the cryo-... |
Speaker: Joe Kileel, UT Austin | |
November 17, 2021 - 2:30pm | |||
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Kernel two-sample test: on manifold data and by neural tangent kernelNovember 17, 2021 - 2:30pm Kernel-based test is widely used non-parametric statistic to compare two distributions, particularly multivariate data distributions. However,... |
Speaker: Xiuyuan Cheng, Duke | |
November 24, 2021 - 2:30pm | |||
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Fast & Accurate Randomized Algorithms for Linear Systems and Eigenvalue ProblemsNovember 24, 2021 - 2:30pm Abstract: We develop a new class of algorithms for general linear systems and eigenvalue problems. These algorithms apply fast randomized... |
Speaker: Yuji Nakatsukasa, Oxford | |