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07/15/2023
Corrected kernel principal component analysis for model structural change detection
This paper develops a method to detect model structural changes by apply...
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01/21/2023
Quasi-optimal Learning with Continuous Treatments
Many real-world applications of reinforcement learning (RL) require maki...
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04/26/2022
Confidence Band Estimation for Survival Random Forests
Survival random forest is a popular machine learning tool for modeling c...
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02/18/2022
On Variance Estimation of Random Forests
Ensemble methods, such as random forests, are popular in applications du...
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02/10/2022
Random Forests Weighted Local Fréchet Regression with Theoretical Guarantee
Statistical analysis is increasingly confronted with complex data from g...
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10/20/2021
Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning
Recent advances in mobile health (mHealth) technology provide an effecti...
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05/17/2021
Dermoscopic Image Classification with Neural Style Transfer
Skin cancer, the most commonly found human malignancy, is primarily diag...
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03/24/2021
Dimension Reduction Forests: Local Variable Importance using Structured Random Forests
Random forests are one of the most popular machine learning methods due ...
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01/27/2020
Estimating heterogeneous treatment effects with right-censored data via causal survival forests
There is fast-growing literature on estimating heterogeneous treatment e...
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11/28/2018
orthoDr: semiparametric dimension reduction via orthogonality constrained optimization
orthoDr is a package in R that solves dimension reduction problems using...
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08/03/2018
Constructing Stabilized Dynamic Treatment Regimes
We propose a new method termed stabilized O-learning for deriving stabil...
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05/07/2018
Semi-Orthogonal Non-Negative Matrix Factorization
Non-negative Matrix Factorization (NMF) is a popular clustering and dime...
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02/16/2018