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06/24/2023
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI
Resting-state functional magnetic resonance imaging (rs-fMRI) can reflec...
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05/17/2023
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing
Many modern tech companies, such as Google, Uber, and Didi, utilize onli...
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04/09/2023
Nearest-Neighbor Sampling Based Conditional Independence Testing
The conditional randomization test (CRT) was recently proposed to test w...
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12/31/2022
Source-Free Unsupervised Domain Adaptation: A Survey
Unsupervised domain adaptation (UDA) via deep learning has attracted app...
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10/17/2022
Statistical learning methods for neuroimaging data analysis with applications
The aim of this paper is to provide a comprehensive review of statistica...
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09/30/2022
A Partially Functional Linear Modeling Framework for Integrating Genetic, Imaging, and Clinical Data
This paper is motivated by the joint analysis of genetic, imaging, and c...
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03/23/2022
Estimating trans-ancestry genetic correlation with unbalanced data resources
The aim of this paper is to propose a novel estimation method of using g...
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03/22/2022
On block-wise and reference panel-based estimators for genetic data prediction in high dimensions
Genetic prediction of complex traits and diseases has attracted enormous...
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03/21/2022
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace
Uplift modeling is a rapidly growing approach that utilizes machine lear...
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02/26/2022
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons
We consider reinforcement learning (RL) methods in offline domains witho...
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02/22/2022
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms
Policy evaluation based on A/B testing has attracted considerable intere...
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02/22/2022
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process
This paper is concerned with constructing a confidence interval for a ta...
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02/21/2022
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets
The two-sided markets such as ride-sharing companies often involve a gro...
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11/06/2021
An Online Sequential Test for Qualitative Treatment Effects
Tech companies (e.g., Google or Facebook) often use randomized online ex...
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06/08/2021
A Deep Value-network Based Approach for Multi-Driver Order Dispatching
Recent works on ride-sharing order dispatching have highlighted the impo...
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05/18/2021
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms
Large ride-hailing platforms, such as DiDi, Uber and Lyft, connect tens ...
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05/03/2021
Reinforcement Learning for Ridesharing: A Survey
In this paper, we present a comprehensive, in-depth survey of the litera...
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03/08/2021
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning
We present a new practical framework based on deep reinforcement learnin...
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12/19/2020
High-Dimensional Spatial Quantile Function-on-Scalar Regression
This paper develops a novel spatial quantile function-on-scalar regressi...
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07/09/2020
Beyond Scalar Treatment: A Causal Analysis of Hippocampal Atrophy on Behavioral Deficits in Alzheimer's Studies
Alzheimer's disease is a progressive form of dementia that results in pr...
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06/05/2020
Adversarial Image Generation and Training for Deep Convolutional Neural Networks
Deep convolutional neural networks (DCNNs) have achieved great success i...
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02/09/2020
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
We present the findings of "The Alzheimer's Disease Prediction Of Longit...
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02/05/2020
A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing
A/B testing, or online experiment is a standard business strategy to com...
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01/09/2020
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets
Modern biomedical studies often collect multiple types of high-dimension...
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11/22/2019
Cross-trait prediction accuracy of high-dimensional ridge-type estimators in genome-wide association studies
Marginal association summary statistics have attracted great attention i...
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11/16/2019
Partial Least Squares for Functional Joint Models
Many biomedical studies have identified important imaging biomarkers tha...
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05/23/2019
Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach
Vacant taxi drivers' passenger seeking process in a road network generat...
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05/17/2019
ACE of Space: Estimating Genetic Components of High-Dimensional Imaging Data
It is of great interest to quantify the contributions of genetic variati...
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03/04/2019
On genetic correlation estimation with summary statistics from genome-wide association studies
Genome-wide association studies (GWAS) have been widely used to examine ...
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01/22/2019
Sensitivity Analysis of Deep Neural Networks
Deep neural networks (DNNs) have achieved superior performance in variou...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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06/07/2018
Tensor network factorizations: Relationships between brain structural connectomes and traits
Advanced brain imaging techniques make it possible to measure individual...
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05/27/2016