Seminars


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Date:11 January 2023, Wednesday

Location:S16-06-118, Seminar room

Time:3-4 pm, Singapore

Data Science Pedagogy at UC Berkeley: Teaching with interactive notebooks at scale, and extensions to Economics

Abstract UC Berkeley is pioneering a broad-based and inclusive undergraduate approach to teaching Data Science. In a few short years…

Dr Eric Van DusenUniversity of California, Berkeley

Date:9 January 2023, Monday

Location:S16-06-118, Seminar room

Time:2.30-3.30 pm, Singapore

On Universally Consistent and Fully Distribution-Free Rank Tests of Vector Independence

Abstract Rank correlations have found many innovative applications in the last decade. In particular, suitable rank correlations have been used…

Dr Hongjian ShiTechnical University of Munich

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 Data

Abstract Recovering latent structures is a key unsupervised learning task in network data, with applications spanning a multitude of disciplines….

Dr Souvik DharaUniversity of California, Berkeley

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…

Dr Abhra SarkarThe University of Texas at Austin

Date:16 November 2022, Wednesday

Location:S16-06-118, Seminar room

Time:3-4 pm, Singapore

Regression modeling using I-priors

Abstract Regression analysis is undoubtedly an important tool to understand the relationship between one or more explanatory and independent variables…

Dr Haziq JamilUniversiti Brunei Darussalam

Date:15 November 2022, Tuesday

Location:S16-06-118, Seminar room

Time:3-4 pm, Singapore

Variational Inference for Singular Models via Resolution of Singularities

Abstract Singular statistical models, ubiquitous in modern deep learning, lack identifiability and a positive definite Fisher information matrix. Motivated by…

Dr Susan WeiUniversity of Melbourne

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 Models

Bayesian methods are attractive for large datasets and complex models. However, in complicated settings, Bayesian computation is challenging with conventional…

Ms. Yu XuejunDepartment of Statistics and Data Science, NUS

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
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