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…
Date:24 January 2024, Wednesday
Location:S16-06-118, Seminar Room
Time:3pm, Singapore
Minimax Rate of Distribution Estimation on Unknown Submanifold under Adversarial LossesStatistical inference from high-dimensional data with low-dimensional structures has recently attracted a lot of attention. In machine learning, deep generative…
Date:18 January 2024, Thursday
Location:S16-06-118, Seminar Room
Time:3pm, Singapore
Recent advances in Distributional Reinforcement LearningAlthough distributional reinforcement learning (DRL) has been widely examined in the past few years, very few studies investigate the validity…
Date:16 January 2024, Tuesday
Location:S17-04-06
Time:11am, Singapore
Repro Samples Method for Addressing Irregular Inference Problems and for Unraveling Machine Learning BlackboxesRapid data science developments and the desire to have interpretable AI require us to have innovative frameworks to tackle frequently…
Date:15 January 2024, Monday
Location:Zoom: https://nus-sg.zoom.us/j/89154932254?pwd=b0N6VDhnTzhLOVpsVXdiMWhmcWtlZz09
Time:9 am, Singapore
Extracting Reliable Real-world Evidence from Multi-institutional EHR DataThe increasing availability of electronic health records (EHR) data offers valuable prospects for biomedical research, enhancing patient care. However, leveraging…
Date:11 January 2024, Thursday
Location:Zoom: https://nus-sg.zoom.us/j/89452188361?pwd=ZEdTSDc0YU1CUGtnWGNEMnpvKzZ4Zz09
Time:3 pm, Singapore
Conditional Independence in Continuous DomainThe concept of conditional independence allows us to distinguish between direct and indirect associations in data and thus has a…
Date:10 January 2024, Wednesday
Location:Zoom: https://nus-sg.zoom.us/j/89831628185?pwd=UW5qSmxyZ1M1bmozaDB4QzJNdDVaUT09
Time:9 am, Singapore
Exploratory Probabilistic Inference for Scientific DiscoverySampling in high-dimensional spaces presents a considerable challenge in various areas of statistical computation. Traditional methods like Markov Chain Monte…
Date:21 December 2023, Thursday
Location:Zoom: https://nus-sg.zoom.us/j/82025424842?pwd=NkRxYmQvR1JtaWNQbmNkUUhqbkNJZz09
Time:9 am, Singapore
Practical and Powerful Kernel-Based Hypothesis TestingAs we are entering the big data era with technological advances of data collection, high-dimensional and complex data is becoming…
Date:20 December 2023, Wednesday
Location:Zoom: https://nus-sg.zoom.us/j/85361154781?pwd=YU5UbUU1WGZoS1RFYkwzb3gvODFZUT09
Time:9 am, Singapore
New Strategies for Inference on High-Dimensional DataHow can we conduct inference on high-dimensional data when classical asymptotic theory fails because noise accumulates faster than at root-n…