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Taha Bahadori
Taha Bahadori
Principal Machine Learning Scientist
Verified email at amazon.com
Title
Cited by
Cited by
Year
RETAIN: An Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism
E Choi, MT Bahadori, A Schuetz, WF Stewart, J Sun
Advances in Neural Information Processing Systems, 2016
14502016
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
E Choi, MT Bahadori, A Schuetz, WF Stewart, J Sun
Machine Learning in Healthcare, 2016
14062016
GRAM: Graph-based Attention Model for Healthcare Representation Learning
E Choi, MT Bahadori, L Song, WF Stewart, J Sun
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
7172017
Multi-layer Representation Learning for Medical Concepts
E Choi, MT Bahadori, E Searles, C Coffey, J Sun
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
6042016
Deep computational phenotyping
Z Che, D Kale, W Li, MT Bahadori, Y Liu
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
3242015
Fast multivariate spatio-temporal analysis via low rank tensor learning
MT Bahadori, QR Yu, Y Liu
Advances in neural information processing systems (NIPS), 3491-3499, 2014
2152014
Improving hospital mortality prediction with medical named entities and multimodal learning
M Jin, MT Bahadori, A Colak, P Bhatia, B Celikkaya, R Bhakta, ...
NeurIPS Workshop on Machine Learning for Health, 2018
742018
Spectral Capsule Networks
MT Bahadori
International Conference on Learning Representations (ICLR Workshop), 2018
682018
An Examination of Practical Granger Causality Inference
MT Bahadori, Y Liu
Proceedings of the 2013 SIAM International Conference on Data Mining, 467-475, 2013
662013
Granger Causality Analysis in Irregular Time Series
MT Bahadori, Y Liu
Proceedings of the 2012 SIAM International Conference on Data Mining, 660-671, 2012
572012
Fblg: A simple and effective approach for temporal dependence discovery from time series data
D Cheng, MT Bahadori, Y Liu
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
512014
Debiasing Concept-based Explanations with Causal Analysis
MT Bahadori, DE Heckerman
International Conference on Learning Representations (ICLR'21), 2021
47*2021
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines
Y Zhang, MT Bahadori, H Su, J Sun
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
422016
Causal Phenotype Discovery via Deep Networks
DC Kale, Z Che, MT Bahadori, W Li, Y Liu, R Wetzel
Proceedings of the American Medical Informatics Assocation (AMIA) 2015 …, 2015
412015
Functional Subspace Clustering with Application to Time Series
MT Bahadori, D Kale, Y Fan, Y Liu
Proceedings of the 32nd International Conference on Machine Learning, 2015
392015
Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling
Y Liu, T Bahadori, H Li
Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012
372012
Learning with minimum supervision: A general framework for transductive transfer learning
MT Bahadori, Y Liu, D Zhang
11th IEEE International Conference on Data Mining (ICDM), 61-70, 2011
362011
Scalable Interpretable Multi-Response Regression via SEED
Z Zheng, MT Bahadori, Y Liu, J Lv
Journal of Machine Learning Research, 2019
32*2019
Causal Regularization
MT Bahadori, K Chalupka, E Choi, R Chen, WF Stewart, J Sun
arXiv preprint arXiv:1702.02604, 2017
322017
A general framework for scalable transductive transfer learning
MT Bahadori, Y Liu, D Zhang
Knowledge and information systems 38, 61-83, 2014
322014
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