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02/28/2023
Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization
Bayesian optimization (BO) primarily uses Gaussian processes (GP) as the...
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08/21/2022
Bayesian Complementary Kernelized Learning for Multidimensional Spatiotemporal Data
Probabilistic modeling of multidimensional spatiotemporal data is critic...
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09/24/2021
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging
Spatiotemporal kriging is an important application in spatiotemporal dat...
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08/31/2021
Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression
As a regression technique in spatial statistics, spatiotemporally varyin...
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04/30/2021
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
Spatiotemporal traffic time series (e.g., traffic volume/speed) collecte...
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10/22/2018