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07/17/2021
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models
This paper develops a frequentist solution to the functional calibration...
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06/02/2021
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks
In this paper, we study the problem of blood glucose forecasting and pro...
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05/13/2021
Asymptotic Properties of Penalized Spline Estimators in Concave Extended Linear Models: Rates of Convergence
This paper develops a general theory on rates of convergence of penalize...
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01/08/2021
Simultaneous inference of periods and period-luminosity relations for Mira variable stars
The Period–Luminosity relation (PLR) of Mira variable stars is an import...
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01/30/2020
Supervised Functional PCA with Covariate Dependent Mean and Covariance Structure
Incorporating covariate information into functional data analysis method...
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06/19/2019
Global Adversarial Attacks for Assessing Deep Learning Robustness
It has been shown that deep neural networks (DNNs) may be vulnerable to ...
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07/10/2018
Near-infrared Mira Period-Luminosity Relations in M33
We analyze sparsely-sampled near-infrared (JHKs) light curves of a sampl...
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06/15/2018
Safe Active Feature Selection for Sparse Learning
We present safe active incremental feature selection (SAIF) to scale up ...
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12/31/2017
To Wait or Not to Wait: Two-way Functional Hazards Model for Understanding Waiting in Call Centers
Telephone call centers offer a convenient communication channel between ...
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09/28/2010