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Date:19 October 2022, Wednesday

Time:3-4 pm, Singapore

Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models

Abstract Unsupervised learning has been widely used in many real-world applications. One of the simplest and most important unsupervised learning…

Assoc Prof Yang FengNew York University

Date:20 September 2022, Tuesday

Location:ZOOM: https://nus-sg.zoom.us/j/81420416646?pwd=bDNkNlF5N09id0dnam9OQnByV3dxZz09

Time:9.30-10.30 am, Singapore

Uncertainty Quantification of Unknown Orientations and Ab-initio Reconstructions in Single-particle Cryo-EM (Ph.D. Oral Presentation)

Single-particle cryo-electron microscopy (cryo-EM) is a tool which aids in the analysis of proteins and biological macromolecules, to investigate their…

Mr. Sim Sheng Long Bertrand Department of Statistics and Data Science, NUS

Date:19 September 2022, Monday

Location:ZOOM: https://nus-sg.zoom.us/j/89616121854?pwd=Y0FTS0RvVkRxMUx6TEg1VDMvaVlyUT09

Time:3-4 pm, Singapore

Filling The Gap With Missing Data (Ph.D. Oral Presentation)

We encounter missing data in research due to issues such as technical glitch, input mistake, drop-out, or outliers; they appear…

Ms. Mao YinanDepartment of Statistics and Data Science, NUS

Date:27 June 2022, Monday

Location:ZOOM: https://nus-sg.zoom.us/j/84330125369?pwd=MEdjaXhoQlhFQTdMVlFhV253WStSdz09

Time:3 pm - 4 pm, Singapore

On Annotation Efficient Learning for Computer Vision Tasks and its Application on Medical Image Datasets (Ph.D. Oral Presentation)

Deep neural networks when trained on huge collections of labelled data have shown impressive performance, often matching human-level performance, on…

Mr. Atin GhoshDepartment of Statistics and Data Science, NUS

Date:20 May 2022, Friday

Location:ZOOM: https://nus-sg.zoom.us/j/81479843120?pwd=cmxZMFlVYXU2MzY4TytLL0pMaVFIUT09

Time:11 am - 12 pm, Singapore

Testing Equality Of Distributions In High-Dimension: Maximum Mean Discrepancy Based Approaches (Ph.D. Oral Presentation)

With developing data collection techniques, the analysis of complicated data objects in some separable metric spaces is an active research…

Mr. Ong Zhi PengDepartment of Statistics and Data Science, NUS

Date:11 May 2022, Wednesday

Location:ZOOM: https://nus-sg.zoom.us/j/83343127774?pwd=OXlFK2tEc1FrZlErSXZINnR5ZHo3QT09

Time:3-4pm, Singapore

Metropolis Adjusted Langevin Trajectories: A robust alternative to Hamiltonian Monte Carlo

Hamiltonian Monte Carlo (HMC) is a widely used sampler, known for its efficiency on high dimensional distributions. Yet HMC remains…

Dr Lionel Riou-DurandThe University of Warwick

Date:30 March 2022, Wednesday

Location:ZOOM: https://nus-sg.zoom.us/j/84451331397?pwd=WDg2YkdhV3c5OHY0VnFzcWg4ZmpIUT09

Time:10-11am, Singapore

Statistical Learning for High-dimensional Tensor Data

The analysis of tensor data has become an active research topic in statistics and data science recently. Many high order…

Assoc Prof Anru ZhangDuke University

Date:2 March 2022, Wednesday

Location:ZOOM: https://nus-sg.zoom.us/j/83007550135?pwd=dEduMFZCeWdOQVJORUtmMkJid3hTUT09

Time:11am-12pm, Singapore

CLT for Fréchet mean and geometry

In this talk,  with a broad goal of building a mathematical foundation for statistical analysis on stratified spaces, I will…

Dr Do TranGeorg-August-Universität Göttingen, Germany

Date:27 December 2021, Monday

Location:ZOOM: https://nus-sg.zoom.us/j/87153758757?pwd=aHBpWC82M1B2RjJJcURuaHBiSTd6UT09

Time:9am-10am, Singapore

Interpolation Phase Transition in Neural Networks: Memorization and Generalization under Neural Tangent Model

A mystery of modern neural networks is their surprising generalization power in overparametrized regime: they comprise so many parameters that…

Dr Yiqiao ZhongStanford University

Date:1 December 2021, Wednesday

Location:ZOOM: https://nus-sg.zoom.us/j/82818288400?pwd=VG1hQnpoRnFZQk5wRHFNOGRaWXlNdz09

Time:10am-11am, Singapore

Confidence Regions for Density Ridges

A ridge in a data cloud is a low-dimensional geometric feature that generalizes the concept of local modes, in the…

Assistant Professor Wanli Qiao George Mason University
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