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02/24/2023
Personalized Two-sided Dose Interval
In many clinical practices, the goal of medical interventions or therapi...
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01/28/2023
Multilingual Sentence Transformer as A Multilingual Word Aligner
Multilingual pretrained language models (mPLMs) have shown their effecti...
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01/08/2023
Predictions of photophysical properties of phosphorescent platinum(II) complexes based on ensemble machine learning approach
Phosphorescent metal complexes have been under intense investigations as...
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11/28/2022
Meta-analysis of individualized treatment rules via sign-coherency
Medical treatments tailored to a patient's baseline characteristics hold...
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02/24/2022
Policy Learning for Optimal Individualized Dose Intervals
We study the problem of learning individualized dose intervals using obs...
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01/20/2022
Entropy Balancing for Generalizing Causal Estimation with Summary-level Information
In this paper, we focus on estimating the average treatment effect (ATE)...
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11/18/2021
Optimal Allocation of Water and Sanitation Facilities To Prevent Communicable Diarrheal Diseases in Senegal Under Partial Interference
For several decades, Senegal has faced inadequate water, sanitation, and...
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10/16/2021
Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation
This paper demonstrates that multilingual pretraining, a proper fine-tun...
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09/02/2021
A Phylogeny-based Test of Mediation Effect in Microbiome
Recent studies suggest that the microbiome can be an important mediator ...
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07/15/2021
Independence weights for causal inference with continuous exposures
Studying causal effects of continuous exposures is important for gaining...
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06/27/2021
A Generalizability Score for Aggregate Causal Effect
Scientists frequently generalize population level causal quantities such...
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05/19/2021
More Generalizable Models For Sepsis Detection Under Covariate Shift
Sepsis is a major cause of mortality in the intensive care units (ICUs)....
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05/03/2021
Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population
Learning individualized treatment rules (ITRs) is an important topic in ...
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04/18/2021
Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
Previous works mainly focus on improving cross-lingual transfer for NLU ...
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11/16/2020
Causal inference methods for combining randomized trials and observational studies: a review
With increasing data availability, treatment causal effects can be evalu...
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03/15/2020
Propagation analysis and prediction of the COVID-19
Based on the official data modeling, this paper studies the transmission...
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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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07/11/2014