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09/16/2023
Test-Time Compensated Representation Learning for Extreme Traffic Forecasting
Traffic forecasting is a challenging task due to the complex spatio-temp...
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06/02/2021
Combining case-control studies for identifiability and efficiency improvement in logistic regression
Can two separate case-control studies, one about Hepatitis disease and t...
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11/27/2020
Broken Adaptive Ridge Regression for Right-Censored Survival Data
Broken adaptive ridge (BAR) is a computationally scalable surrogate to L...
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07/06/2020
Surprise sampling: improving and extending the local case-control sampling
Fithian and Hastie (2014) proposed a new sampling scheme called local ca...
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02/20/2020
A General Pairwise Comparison Model for Extremely Sparse Networks
Statistical inference using pairwise comparison data has been an effecti...
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10/12/2019
