Date:10 May 2023, Wednesday
Location:S16-06-118, Seminar Room
Time:3 pm, Singapore
High-dimensional learning in the presence of low-dimensional structure: a spiked random matrix perspectiveAbstract The spiked random matrix is a classical statistical model describing a low-dimensional signal “hidden” in high-dimensional noise. In this…
Date:9 May 2023, Tuesday
Location:S16-06-118, Seminar Room
Time:3 pm, Singapore
Nonparametric methods to deal with quantile regression problems in time series and spatio-temporal settingsAbstract In this talk, we are going to discuss nonparametric methods to tackle two types of quantile regression problems that…
Date:12 April 2023, Wednesday
Location:S16-06-118, Seminar Room
Time:3 pm, Singapore
Concentration of tempered posteriors and of their variational approximationsAbstract While Bayesian methods are extremely popular in statistics and machine learning, their application to massive data sets is often…
Date:24 March 2023, Friday
Location:S16-06-118, Seminar Room
Time:12.30 pm, Singapore
The synthetic instrumentAbstract In many observational studies, researchers are interested in studying the effects of multiple exposures on the same outcome. Unmeasured…
Date:16 February 2023, Thursday
Location:Zoom Link- https://nus-sg.zoom.us/j/89624948342?pwd=eGN2TDNvT3dvek5IRFFERWR5TGJUQT09
Time:11 am, Singapore
Challenges of Learning Under Different Levels of Supervision for Images and VideosAbstract Deep Neural Networks (DNNs) have performed outstandingly in several computer vision tasks. However, the performance of DNNs has always…
Date:3 February 2023, Friday
Location:S16-05-102, Computer Lab 2
Time:3 pm, Singapore
Prediction and InferenceAbstract There has been tremendous recent progress in the development of prediction models, but statistical inference on parameters of interest…
Date:1 February 2023, Wednesday
Location:S16-06-118, Seminar Room
Time:2.30 pm, Singapore
Proximal Causal InferenceAbstract Unmeasured confounding is the central complication of causal inference resulting from unknown common operating mechanism over both uncontrolled treatment…
Date:30 January 2023, Monday
Location:S16-05-102, Computer Lab 2
Time:9 am, Singapore
Bayesian computation and learning of substructures in Gaussian graphical modelsAbstract Gaussian graphical models are a powerful tool to learn the conditional independence structure in multivariate data with inference often…
Date:25 January 2023, Wednesday
Location:S16-06-118, Seminar room
Time:2.30 pm, Singapore
Variational Bayes for fast and accurate empirical likelihood inferenceAbstract Empirical likelihood-based inference incorporates the advantages of both parametric and nonparametric modeling by allowing inference on parameters of the…
Date:18 January 2023, Wednesday
Location:S16-06-118, Seminar room
Time:2.30 pm, Singapore
Filtrated Common Functional Principal Component Analysis of Multi-group Functional dataAbstract Local field potentials (LFPs) are signals that measure electrical activity in localized cortical regions from implanted tetrodes in the…