Date:1 March 2024, Friday
Location:S16-06-118, Seminar Room
Time:3pm, Singapore
Network Regression and Supervised Centrality EstimationThe centrality in a network is often used to measure nodes’ importance and model network effects on a certain outcome….
Date:22 February 2024, Thursday
Location:Zoom: https://nus-sg.zoom.us/j/82876483605?pwd=anRrRFVvZ2ZoZnRKSWhoOUF3c0RTdz09
Time:9am, Singapore
Uncertainty Quantification for Interpretable Machine LearningInterpretable machine learning has been widely deployed for scientific discoveries and decision-making, while its reliability hinges on the critical role…
Date:20 February 2024, Tuesday
Location:Zoom: https://nus-sg.zoom.us/j/84311119686?pwd=NWQ5RzlTcHNWUjl6Mm45V3FJQWxGdz09
Time:9am, Singapore
Bayesian Heavy-tailed Density Estimation and Censored Ocean Flow Cytometry Data AnalysisIn this talk, I will first present a Bayesian semiparametric method of jointly estimating the density function and the tail…
Date:8 February 2024, Thursday
Location:S16-07-107
Time:10-11 am, Singapore
SCALABLE BAYESIAN INFERENCE FOR LARGE CROSSED MIXED EFFECTS MODELSLarge crossed mixed effects models with imbalanced structures and missing data pose major computational challenges for standard Bayesian posterior sampling…
Date:7 February 2024, Wednesday
Location:Zoom: https://nus-sg.zoom.us/j/84820732012?pwd=S25TVitqTnJkQ3FpQWEvQ3FWQnBZQT09
Time:4pm, Singapore
Multi-stage learning in Reproducing Kernel Hilbert SpaceClassical machine learning framework focuses on single-stage learning, where we directly estimate the target prediction function from training data sets….
Date:7 February 2024, Wednesday
Location:S16-06-118, Seminar Room
Time:3pm, Singapore
Computational Biopharmaceutics – Exploring the Drug Delivery Lifecycle in NanomedicineA growing number of nanomedicines have been developed for drug delivery via injection into the bloodstream. These nanocarriers transport drug…
Date:6 February 2024, Tuesday
Location:S17-04-06, Seminar Room
Time:3pm, Singapore
Non-asymptotic Theory for Two-Layer Neural Networks: Beyond the Bias-Variance Trade-OffIn statistical and probabilistic models, “mean-field” behavior arises when the aggregate effect of many variables is well-approximated by an average…
Date:6 February 2024, Tuesday
Location:Zoom: https://nus-sg.zoom.us/j/83245096763?pwd=cVVqVHArQ3pVR1dQVUNMS2xXQ0FMZz09
Time:9am, Singapore
Actor-Critic Graph Neural Networks: A Complete Recipe for Neural DecodingIn recent years, graphs have become one of the most powerful abstractions for complex data, including brain networks, knowledge graphs,…
Date:1 February 2024, Thursday
Location:Zoom: https://nus-sg.zoom.us/j/89416766885?pwd=V3NhR1RTNWFYMHFQU0pMMmxPd3p1dz09
Time:9am, Singapore
Towards More Reliable Tensor Learning – heteroskedastic tensor clustering and uncertainty quantification for low-rank tensorsTensor data, which exhibits more sophisticated structures than matrix data and brings unique statistical and computational challenges, has attracted a…
Date:25 January 2024, Thursday
Location:S16-06-118, Seminar Room
Time:3pm, Singapore
Mean-field inference, from empirical Bayes PCA to orthogonally-invariant spin glassesIn statistical and probabilistic models, “mean-field” behavior arises when the aggregate effect of many variables is well-approximated by an average…