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06/28/2023
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning
Reinforcement Learning (RL) has made promising progress in planning and ...
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07/25/2022
A unified quantile framework reveals nonlinear heterogeneous transcriptome-wide associations
Transcriptome-wide association studies (TWAS) are powerful tools for ide...
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07/16/2022
A Flexible Zero-Inflated Poisson-Gamma model with application to microbiome read counts
In microbiome studies, it is of interest to use a sample from a populati...
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02/12/2022
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
We present an end-to-end Reinforcement Learning(RL) framework for roboti...
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10/22/2019
Integrated Quantile RAnk Test (iQRAT) for gene-level associations in sequencing studies
Testing gene-based associations is the fundamental approach to identify ...
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10/14/2019
Gaussian Processes with Errors in Variables: Theory and Computation
Covariate measurement error in nonparametric regression is a common prob...
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09/16/2019
Improved Semiparametric Analysis of Polygenic Gene-Environment Interactions in Case-Control Studies
Standard logistic regression analysis of case-control data has low power...
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11/13/2017
