Date:24 November 2022, Thursday
Location:ZOOM: https://nus-sg.zoom.us/j/81008167804?pwd=T2ZoRFhrejl2ZUNZVEdqcjVEUXI4Zz09
Time:9-10 am, Singapore
Latent Structures in Large-scale Networks with Censored DataAbstract Recovering latent structures is a key unsupervised learning task in network data, with applications spanning a multitude of disciplines….
Date:17 November 2022, Thursday
Location:ZOOM: https://nus-sg.zoom.us/j/88037797765?pwd=ekpibHFOdHBnUXhlN0c2TzdxaDZyQT09
Time:10-11 am, Singapore
Local inference in longitudinal drift-diffusion mixed models for tone learning in adults (and related problems)Abstract Learning to make categorization decisions is important in almost all aspects of our lives. Understanding how we learn novel…
Date:16 November 2022, Wednesday
Location:S16-06-118, Seminar room
Time:3-4 pm, Singapore
Regression modeling using I-priorsAbstract Regression analysis is undoubtedly an important tool to understand the relationship between one or more explanatory and independent variables…
Date:15 November 2022, Tuesday
Location:S16-06-118, Seminar room
Time:3-4 pm, Singapore
Variational Inference for Singular Models via Resolution of SingularitiesAbstract Singular statistical models, ubiquitous in modern deep learning, lack identifiability and a positive definite Fisher information matrix. Motivated by…
Date:27 October 2022, Thursday
Location:ZOOM: https://nus-sg.zoom.us/j/84902640909?pwd=UnRicStxZHEvd1l0Y1V0TW1UNm5Rdz09
Time:10-11 am, Singapore
Approximate Inference For Complex ModelsBayesian methods are attractive for large datasets and complex models. However, in complicated settings, Bayesian computation is challenging with conventional…
Date:19 October 2022, Wednesday
Time:3-4 pm, Singapore
Unsupervised Multi-task and Transfer Learning on Gaussian Mixture ModelsAbstract Unsupervised learning has been widely used in many real-world applications. One of the simplest and most important unsupervised learning…
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…
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…
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…
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…