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09/12/2023
Distributionally Robust Transfer Learning
Many existing transfer learning methods rely on leveraging information f...
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05/31/2023
Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model
Due to the increasing adoption of electronic health records (EHR), large...
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05/19/2023
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records
Electronic health record (EHR) data are increasingly used to support rea...
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02/09/2023
Surrogate-Assisted Federated Learning of high dimensional Electronic Health Record Data
Surrogate variables in electronic health records (EHR) play an important...
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01/02/2023
Robust Inference for Federated Meta-Learning
Synthesizing information from multiple data sources is critical to ensur...
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11/29/2022
Harnessing electronic health records for real-world evidence
While randomized controlled trials (RCTs) are the gold-standard for esta...
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09/28/2022
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model
Network analysis has been a powerful tool to unveil relationships and in...
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09/17/2022
Towards Optimal Use of Surrogate Markers to Improve Power
Motivated by increasing pressure for decision makers to shorten the time...
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09/17/2022
Using a Surrogate with Heterogeneous Utility to Test for a Treatment Effect
The primary benefit of identifying a valid surrogate marker is the abili...
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09/12/2022
Semi-supervised Triply Robust Inductive Transfer Learning
In this work, we propose a semi-supervised triply robust inductive trans...
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08/16/2022
Semi-supervised Transfer Learning for Evaluation of Model Classification Performance
In modern machine learning applications, frequent encounters of covariat...
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08/10/2022
Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features
Due to label scarcity and covariate shift happening frequently in real-w...
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06/11/2022
Federated Offline Reinforcement Learning
Evidence-based or data-driven dynamic treatment regimes are essential fo...
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05/14/2022
Assessing Heterogeneous Risk of Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data
There have been increased concerns that the use of statins, one of the m...
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03/16/2022
Multimodal Learning on Graphs for Disease Relation Extraction
Objective: Disease knowledge graphs are a way to connect, organize, and ...
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12/17/2021
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
Federated learning of causal estimands may greatly improve estimation ef...
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11/29/2021
Adaptive Combination of Randomized and Observational Data
Data from both a randomized trial and an observational study are sometim...
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11/03/2021
Finding the Optimal Dynamic Treatment Regime Using Smooth Fisher Consistent Surrogate Loss
Large health care data repositories such as electronic health records (E...
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10/24/2021
Efficient and Robust Semi-supervised Estimation of ATE with Partially Annotated Treatment and Response
A notable challenge of leveraging Electronic Health Records (EHR) for tr...
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10/18/2021
Semi-supervised Approach to Event Time Annotation Using Longitudinal Electronic Health Records
Large clinical datasets derived from insurance claims and electronic hea...
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08/27/2021
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach
The limited representation of minorities and disadvantaged populations i...
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05/21/2021
BELT: Block-wise Missing Embedding Learning Transformer
Matrix completion has attracted attention in many fields, including stat...
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05/04/2021
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction
Risk modeling with EHR data is challenging due to a lack of direct obser...
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04/12/2021
On the Evaluation of Surrogate Markers in Real World Data Settings
Shortcomings of randomized clinical trials are pronounced in urgent heal...
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04/06/2021
A new weighting method when not all the events are selected as cases in a nested case-control study
Nested case-control (NCC) is a sampling method widely used for developin...
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03/23/2021
On the global identifiability of logistic regression models with misclassified outcomes
In the last decade, the secondary use of large data from health systems,...
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03/07/2021
Risk Prediction with Imperfect Survival Outcome Information from Electronic Health Records
Readily available proxies for time of disease onset such as time of the ...
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12/09/2020
Semi-Supervised Off Policy Reinforcement Learning
Reinforcement learning (RL) has shown great success in estimating sequen...
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10/19/2020
Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling
In many contemporary applications, large amounts of unlabeled data are r...
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10/06/2020
Doubly Robust Covariate Shift Regression with Semi-nonparametric Nuisance Models
Importance weighting is naturally used to adjust for covariate shift. Ho...
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06/23/2020
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation
Offline Reinforcement Learning (RL) is a promising approach for learning...
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04/02/2020
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints
Identifying informative predictors in a high dimensional regression mode...
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03/26/2020
Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping
Electronic Health Records (EHR) data, a rich source for biomedical resea...
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04/29/2019
Individualized Treatment Selection: An Optimal Hypothesis Testing Approach In High-dimensional Models
The ability to predict individualized treatment effects (ITEs) based on ...
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02/16/2019
Privacy Preserving Integrative Regression Analysis of High-dimensional Heterogeneous Data
Meta-analyzing multiple studies, enabling more precise estimation and in...
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10/12/2018
Spherical Regression under Mismatch Corruption with Application to Automated Knowledge Translation
Motivated by a series of applications in data integration, language tran...
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04/06/2018
Multi-view Banded Spectral Clustering with application to ICD9 clustering
Despite recent development in methodology, community detection remains a...
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04/04/2018
Clinical Concept Embeddings Learned from Massive Sources of Medical Data
Word embeddings have emerged as a popular approach to unsupervised learn...
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04/02/2018
A Fast Divide-and-Conquer Sparse Cox Regression
We propose a computationally and statistically efficient divide-and-conq...
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03/31/2018
Efficient and Robust Semi-Supervised Estimation of Average Treatment Effects in Electronic Medical Records Data
There is strong interest in conducting comparative effectiveness researc...
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01/18/2018
Variance Components Genetic Association Test for Zero-inflated Count Outcomes
Commonly in biomedical research, studies collect data in which an outcom...
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11/15/2017
Semi-Supervised Approaches to Efficient Evaluation of Model Prediction Performance
In many modern machine learning applications, the outcome is expensive o...
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01/18/2017
Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes
We consider the recovery of regression coefficients, denoted by β_0, for...
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01/17/2017
Efficient and Adaptive Linear Regression in Semi-Supervised Settings
We consider the linear regression problem under semi-supervised settings...
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11/25/2015
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs
It is known that for a certain class of single index models (SIMs) Y = f...
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04/08/2015
