4月29日
研討會, 演講, 講座
Department of Mathematics - Seminar on PDE - Anisotropic Dynamical Horizons Arising in Gravitational Collapse
Black holes are predicted by Einstein's theory of general relativity, and now we have ample observational evidence for their existence.
4月29日
研討會, 演講, 講座
Department of Mathematics - Seminar on Statistics - A Learning System in Pandemic Prevention — from macro predictive modeling to small probability estimation
Reproduction number (R
4月27日
研討會, 演講, 講座
Physics Department - Condensed Matter Seminar: Correlations and Topology in a Transition Metal Dichalcogenide Compound
4月27日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Riemannian optimization with three metrics for Hermitian PSD fixed rank constraints
Hermitian PSD fixed rank constraint is used in many applications, e.g., it is also used for approximating the Hermitian PSD constraint. We study and compare three methodologies for minimizing f(X) with X being a Hermitian PSD fixed rank matrix.
4月27日
研討會, 演講, 講座
Department of Mathematics - PhD Student Seminar - Free Limit Laws for Block Correlation Matrices 
Independence test for the components of a random vector is a classical problem. When the variances of the components are unknown, various statistics constructed from the sample correlation matrices are often used.
4月25日
研討會, 演講, 講座
Department of Mathematics - PhD Student Seminar - Optimal Estimation and Computational Limit of Low-rank Gaussian Mixtures 
We propose a low-rank Gaussian mixture model (LrMM) assuming each matrix-valued observation has a planted low-rank structure.
4月22日
研討會, 演講, 講座
Department of Mathematics - Seminar on PDE - Regularity for singular and degenerate PDEs: qualitative vs. sharp estimates
Singular and degenerate partial differential equations are unavoidable in the modelling of several phenomena, like phase transitions and chemotaxis, and are also used in machine learning in the context of semi-supervised learning.
4月22日
研討會, 演講, 講座
Department of Mathematics - Seminar on Statistics and Data Science - When Will You Become the Best Reviewer of Your Own Papers?
Alice submits a number of papers to a machine learning conference and has knowledge of the quality of her papers. Given raw grades rated by independent reviewers, can Bob obtain accurate estimates of the grades of the papers by asking Alice questions about the ground truth?
瀏覽理學院過往舉辦的活動。