Mohammad Taha Bahadori | DeepAI

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∙ 07/27/2021

End-to-End Balancing for Causal Continuous Treatment-Effect Estimation

We study the problem of observational causal inference with continuous t...

0 Mohammad Taha Bahadori, et al. ∙

∙ 07/22/2020

Debiasing Concept Bottleneck Models with Instrumental Variables

Concept-based explanation approach is a popular model interpertability t...

0 Mohammad Taha Bahadori, et al. ∙

∙ 11/08/2019

Discovering Invariances in Healthcare Neural Networks

We study the invariance characteristics of pre-trained predictive models...

0 Mohammad Taha Bahadori, et al. ∙

∙ 04/27/2019

Temporal-Clustering Invariance in Irregular Healthcare Time Series

Electronic records contain sequences of events, some of which take place...

0 Mohammad Taha Bahadori, et al. ∙

∙ 11/29/2018

Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning

Clinical text provides essential information to estimate the acuity of a...

0 Mengqi Jin, et al. ∙

∙ 02/08/2017

Causal Regularization

In application domains such as healthcare, we want accurate predictive m...

0 Mohammad Taha Bahadori, et al. ∙

∙ 08/19/2016

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism

Accuracy and interpretability are two dominant features of successful pr...

0 Edward Choi, et al. ∙

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