Mohammad Taha Bahadori

39 papers A* 12A 2Misc 2Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Fast Training Dataset Attribution via In-Context Learning. CoRR Milad Fotouhi, Mohammad Taha Bahadori, Oluwaseyi Feyisetan, Payman Arabshahi, David Heckerman
2024	A*	`conf`	Multiply-Robust Causal Change Attribution. ICML Victor Quintas-Martinez, Mohammad Taha Bahadori, Eduardo Santiago, Jeff Mu, David Heckerman
2024	J	`jnl`	Multiply-Robust Causal Change Attribution. CoRR Victor Quintas-Martinez, Mohammad Taha Bahadori, Eduardo Santiago, Jeff Mu, Dominik Janzing, David Heckerman
2024	J	`jnl`	Removing Spurious Correlation from Neural Network Interpretations. CoRR Milad Fotouhi, Mohammad Taha Bahadori, Oluwaseyi Feyisetan, Payman Arabshahi, David Heckerman
2022	A*	`conf`	End-to-End Balancing for Causal Continuous Treatment-Effect Estimation. ICML Mohammad Taha Bahadori, Eric Tchetgen Tchetgen, David Heckerman
2021	A*	`conf`	Debiasing Concept-based Explanations with Causal Analysis. ICLR Mohammad Taha Bahadori, David Heckerman
2021	J	`jnl`	End-to-End Balancing for Causal Continuous Treatment-Effect Estimation. CoRR Mohammad Taha Bahadori, Eric Tchetgen Tchetgen, David E. Heckerman
2020	J	`jnl`	Debiasing Concept Bottleneck Models with Instrumental Variables. CoRR Mohammad Taha Bahadori, David E. Heckerman
2019	J	`jnl`	Discovering Invariances in Healthcare Neural Networks. CoRR Mohammad Taha Bahadori, Layne C. Price
2019	J	`jnl`	Scalable Interpretable Multi-Response Regression via SEED. J. Mach. Learn. Res. Zemin Zheng, Mohammad Taha Bahadori, Yan Liu, Jinchi Lv
2019	J	`jnl`	Temporal-Clustering Invariance in Irregular Healthcare Time Series. CoRR Mohammad Taha Bahadori, Zachary Chase Lipton
2018	J	`jnl`	Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning. CoRR Mengqi Jin, Mohammad Taha Bahadori, Aaron Colak, Parminder Bhatia, Busra Celikkaya, Ram Bhakta, Selvan Senthivel, Mohammed Khalilia, Daniel Navarro, Borui Zhang, Tiberiu Doman, Arun Ravi, Matthieu Liger, Taha A. Kass-Hout
2017	J	`jnl`	Causal Regularization. CoRR Mohammad Taha Bahadori, Krzysztof Chalupka, Edward Choi, Robert Chen, Walter F. Stewart, Jimeng Sun
2017	A*	`conf`	GRAM: Graph-based Attention Model for Healthcare Representation Learning. KDD Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun
2017	Misc	`conf`	Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records. AMIA Yanbo Xu, Mohammad Taha Bahadori, Elizabeth Searles, Michael Thompson, Javier Tejedor-Sojo, Jimeng Sun
2017	—	`ch.`	Time Series Feature Learning with Applications to Health Care. Mobile Health - Sensors, Analytic Methods, and Applications Zhengping Che, Sanjay Purushotham, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Robinder G. Khemani, Yan Liu
2016	—	`conf`	Doctor AI: Predicting Clinical Events via Recurrent Neural Networks. MLHC Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun
2016	A*	`conf`	FLASH: Fast Bayesian Optimization for Data Analytic Pipelines. KDD Yuyu Zhang, Mohammad Taha Bahadori, Hang Su, Jimeng Sun
2016	J	`jnl`	FLASH: Fast Bayesian Optimization for Data Analytic Pipelines. CoRR Yuyu Zhang, Mohammad Taha Bahadori, Hang Su, Jimeng Sun
2016	J	`jnl`	GRAM: Graph-based Attention Model for Healthcare Representation Learning. CoRR Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun
2016	A*	`conf`	Multi-layer Representation Learning for Medical Concepts. KDD Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Michael Thompson, James Bost, Javier Tejedor-Sojo, Jimeng Sun
2016	J	`jnl`	Multi-layer Representation Learning for Medical Concepts. CoRR Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Jimeng Sun
2016	—	`conf`	RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism. NIPS Edward Choi, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, Walter F. Stewart
2016	J	`jnl`	RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism. CoRR Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun
2015	Misc	`conf`	Causal Phenotype Discovery via Deep Networks. AMIA David C. Kale, Zhengping Che, Mohammad Taha Bahadori, Wenzhe Li, Yan Liu, Randall C. Wetzel
2015	A*	`conf`	Deep Computational Phenotyping. KDD Zhengping Che, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Yan Liu
2015	J	`jnl`	Doctor AI: Predicting Clinical Events via Recurrent Neural Networks. CoRR Edward Choi, Mohammad Taha Bahadori, Jimeng Sun
2015	A*	`conf`	Functional Subspace Clustering with Application to Time Series. ICML Mohammad Taha Bahadori, David C. Kale, Yingying Fan, Yan Liu
2014	J	`jnl`	A general framework for scalable transductive transfer learning. Knowl. Inf. Syst. Mohammad Taha Bahadori, Yan Liu, Dan Zhang
2014	A*	`conf`	FBLG: a simple and effective approach for temporal dependence discovery from time series data. KDD Dehua Cheng, Mohammad Taha Bahadori, Yan Liu
2014	—	`conf`	Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning. NIPS Mohammad Taha Bahadori, Qi Rose Yu, Yan Liu
2014	—	`conf`	Scalable Heterogeneous Transfer Ranking. BigMine Mohammad Taha Bahadori, Yi Chang, Bo Long, Yan Liu
2013	A	`conf`	An Examination of Practical Granger Causality Inference. SDM Yan Liu, Mohammad Taha Bahadori
2013	A*	`conf`	Fast structure learning in generalized stochastic processes with latent factors. KDD Mohammad Taha Bahadori, Yan Liu, Eric P. Xing
2012	A	`conf`	Granger Causality Analysis in Irregular Time Series. SDM Mohammad Taha Bahadori, Yan Liu
2012	—	`conf`	On Causality Inference in Time Series. AAAI Fall Symposium: Discovery Informatics Mohammad Taha Bahadori, Yan Liu
2012	J	`jnl`	Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling CoRR Yan Liu, Mohammad Taha Bahadori, Hongfei Li
2012	A*	`conf`	Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling. ICML Yan Liu, Mohammad Taha Bahadori, Hongfei Li
2011	A*	`conf`	Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning. ICDM Mohammad Taha Bahadori, Yan Liu, Dan Zhang