312 citations · 649 across the 29 of their papers we have counts for
5 papers · 1 filter
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation
Zichen Zhang, Qingfeng Lan, Lei Ding +3
Counterfactual reasoning is an important paradigm applicable in many fields, such as healthcare, economics, and education. In this work, we propose a novel method to address the is…
Domain Aggregation Networks for Multi-Source Domain Adaptation
Junfeng Wen, Russell Greiner, Dale Schuurmans
In many real-world applications, we want to exploit multiple source datasets of similar tasks to learn a model for a different but related target dataset -- e.g., recognizing chara…
Simultaneous Prediction Intervals for Patient-Specific Survival Curves
Samuel Sokota, Ryan D'Orazio, Khurram Javed +2
Accurate models of patient survival probabilities provide important information to clinicians prescribing care for life-threatening and terminal ailments. A recently developed clas…
The Challenge of Predicting Meal-to-meal Blood Glucose Concentrations for Patients with Type I Diabetes
Neil C. Borle, Edmond A. Ryan, Russell Greiner
Patients with Type I Diabetes (T1D) must take insulin injections to prevent the serious long term effects of hyperglycemia - high blood glucose (BG). Patients must also be careful…
Gene Expression based Survival Prediction for Cancer Patients: A Topic Modeling Approach
Luke Kumar, Russell Greiner
Cancer is one of the leading cause of death, worldwide. Many believe that genomic data will enable us to better predict the survival time of these patients, which will lead to bett…