5月6日
研讨会, 演讲, 讲座
Department of Mathematics - PhD Student Seminar - Equality of cluster and upper cluster algebras from moduli space of G-local systems
The cluster algebras A
5月6日
研讨会, 演讲, 讲座
Department of Mathematics - PhD Student Seminar - Stochastic Continuum Models for High-Entropy Alloys with Short Range Order
In this paper, we establish stochastic elastic model and stochastic Peierls--Nabarro (PN) model with short range order (SRO) in high--entropy alloys (HEAs).
5月6日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Statistics - A Polynomial Algorithm for Best Subset Selection
Best subset selection aims to find a small subset of predictors that lead to the most desirable and pre-defined prediction accuracy in a linear regression model.
5月6日
研讨会, 演讲, 讲座
Department of Mathematics - PhD Student Seminar - Overparametrized Model and Adversarial Robustness
Deep neural networks can predict well even when fitting noisy data. The phenomenon is called benign overfitting.
5月5日
研讨会, 演讲, 讲座
Department of Mathematics - PhD Student Seminar - Decentralized Finance: Investment Aggregator and Portfolio Management System
The global blockchain technology market size is expected to expand at a compound annual growth rate of over 80% from 2021 to 2028.
5月5日
研讨会, 演讲, 讲座
Department of Mathematics - PhD Student Seminar - Precision Matrix Estimation in Gaussian Graphical Model
In this era of big data, quantifying relationships between different components of a complex system is an appealing and challenging problem.
5月5日
研讨会, 演讲, 讲座
Department of Mathematics - PhD Student Seminar - Split Knockoffs: towards Controlling Directional False Discovery Rate under Transformations
Multiple comparisons in hypothesis test are often subject to structural constraints in applications. In structural Magnetic Resonance Imaging for Alzheimer's Disease, one studies not only the atrophy brain regions, but also comparisons of anatomically adjacent regions.
5月5日
研讨会, 演讲, 讲座
Department of Mathematics - PhD Student Seminar - High-frequency trading with the order flow information
The development in computer technology have enabled computerized trading algorithms. Market making is one of the most famous high frequency trading strategy. By placing bid and ask orders simultaneously, market maker provides liquidity to the market.
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