Mohammad Taha Bahadori

发表

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

Jimeng Sun, Walter F. Stewart, Edward Choi, 2016, NIPS.

Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning

Yan Liu, Mohammad Taha Bahadori, Dan Zhang, 2011, 2011 IEEE 11th International Conference on Data Mining.

An Examination of Practical Granger Causality Inference

Yan Liu, Mohammad Taha Bahadori, Yan Liu, 2013, SDM.

Causal Phenotype Discovery via Deep Networks

Yan Liu, Wenzhe Li, Mohammad Taha Bahadori, 2015, AMIA.

Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning pdf

Busra Celikkaya, Parminder Bhatia, Mohammad Khalilia, 2018, ArXiv.

Debiasing Concept Bottleneck Models with Instrumental Variables pdf

Mohammad Taha Bahadori, David E. Heckerman, 2020, ArXiv.

Deep Computational Phenotyping

Yan Liu, Wenzhe Li, Mohammad Taha Bahadori, 2015, KDD.

A general framework for scalable transductive transfer learning

Yan Liu, Mohammad Taha Bahadori, Dan Zhang, 2013, Knowledge and Information Systems.

Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records

Jimeng Sun, Michael Thompson, Yanbo Xu, 2017, AMIA.

Time Series Feature Learning with Applications to Health Care

Yan Liu, Wenzhe Li, Mohammad Taha Bahadori, 2017, Mobile Health - Sensors, Analytic Methods, and Applications.

Causal Regularization pdf

Jimeng Sun, Robert Chen, Walter F. Stewart, 2019, NeurIPS.

Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning

Qi Yu, Yan Liu, Mohammad Taha Bahadori, 2014, NIPS.

Multi-layer Representation Learning for Medical Concepts

Jimeng Sun, Michael Thompson, Javier Tejedor-Sojo, 2016, KDD.

Granger Causality Analysis in Irregular Time Series

Yan Liu, Mohammad Taha Bahadori, Yan Liu, 2012, SDM.

Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling pdf

Yan Liu, Mohammad Taha Bahadori, Hongfei Li, 2012, ICML.

Spectral Capsule Networks

Mohammad Taha Bahadori, M. T. Bahadori, 2018 .

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

Walter F. Stewart, Edward Choi, Mohammad Taha Bahadori, 2015, MLHC.

FBLG: a simple and effective approach for temporal dependence discovery from time series data

Yan Liu, Mohammad Taha Bahadori, Dehua Cheng, 2014, KDD.

Fast structure learning in generalized stochastic processes with latent factors

Eric P. Xing, Yan Liu, Mohammad Taha Bahadori, 2013, KDD.

Functional Subspace Clustering with Application to Time Series

Yan Liu, Mohammad Taha Bahadori, Yingying Fan, 2015, ICML.

On Causality Inference in Time Series

Yan Liu, Mohammad Taha Bahadori, 2012, AAAI Fall Symposium: Discovery Informatics.

Debiasing Concept-based Explanations with Causal Analysis

Mohammad Taha Bahadori, David E. Heckerman, D. Heckerman, 2020, ICLR.

Scalable Interpretable Multi-Response Regression via SEED

Yan Liu, Mohammad Taha Bahadori, Jinchi Lv, 2016, J. Mach. Learn. Res..

Discovering Invariances in Healthcare Neural Networks pdf

Mohammad Taha Bahadori, Layne C. Price, 2019, ArXiv.

FLASH: Fast Bayesian Optimization for Data Analytic Pipelines

Jimeng Sun, Hang Su, Mohammad Taha Bahadori, 2016, KDD.

GRAM: Graph-based Attention Model for Healthcare Representation Learning

Le Song, Jimeng Sun, Walter F. Stewart, 2016, KDD.

Scalable Heterogeneous Transfer Ranking

Yi Chang, Yan Liu, Mohammad Taha Bahadori, 2014, BigMine.

Temporal-Clustering Invariance in Irregular Healthcare Time Series pdf

Mohammad Taha Bahadori, Zachary Chase Lipton, M. T. Bahadori, 2019, ArXiv.

Debiasing Concept-based Explanations with Causal Analysis pdf

Mohammad Taha Bahadori, David Heckerman, 2021, ICLR 2021 Poster.

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

Mohammad Taha Bahadori, Eric Tchetgen Tchetgen, David E. Heckerman, 2021, ArXiv.

Neural Causal Regularization under the Independence of Mechanisms Assumption

Jimeng Sun, Robert Chen, Mohammad Taha Bahadori, 2017 .