Mohammad Taha Bahadori
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
6
Active years
2011–2024
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Multiply-Robust Causal Change Attribution. | Victor Quintas-Martinez, Mohammad Taha Bahadori, Eduardo Santiago, Jeff Mu, David Heckerman |
| 2022 | ICML | End-to-End Balancing for Causal Continuous Treatment-Effect Estimation. | Mohammad Taha Bahadori, Eric Tchetgen Tchetgen, David Heckerman |
| 2021 | ICLR | Debiasing Concept-based Explanations with Causal Analysis. | Mohammad Taha Bahadori, David Heckerman |
| 2017 | AMIA | Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records. | Yanbo Xu, Mohammad Taha Bahadori, Elizabeth Searles, Michael Thompson, Javier Tejedor-Sojo, Jimeng Sun |
| 2017 | KDD | GRAM: Graph-based Attention Model for Healthcare Representation Learning. | Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun |
| 2016 | KDD | Multi-layer Representation Learning for Medical Concepts. | Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Michael Thompson, James Bost, Javier Tejedor-Sojo, Jimeng Sun |
| 2016 | KDD | FLASH: Fast Bayesian Optimization for Data Analytic Pipelines. | Yuyu Zhang, Mohammad Taha Bahadori, Hang Su, Jimeng Sun |
| 2015 | AMIA | Causal Phenotype Discovery via Deep Networks. | David C. Kale, Zhengping Che, Mohammad Taha Bahadori, Wenzhe Li, Yan Liu, Randall C. Wetzel |
| 2015 | ICML | Functional Subspace Clustering with Application to Time Series. | Mohammad Taha Bahadori, David C. Kale, Yingying Fan, Yan Liu |
| 2015 | KDD | Deep Computational Phenotyping. | Zhengping Che, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Yan Liu |
| 2014 | KDD | Scalable Heterogeneous Transfer Ranking. | Mohammad Taha Bahadori, Yi Chang, Bo Long, Yan Liu |
| 2014 | KDD | FBLG: a simple and effective approach for temporal dependence discovery from time series data. | Dehua Cheng, Mohammad Taha Bahadori, Yan Liu |
| 2013 | KDD | Fast structure learning in generalized stochastic processes with latent factors. | Mohammad Taha Bahadori, Yan Liu, Eric P. Xing |
| 2013 | SDM | An Examination of Practical Granger Causality Inference. | Yan Liu, Mohammad Taha Bahadori |
| 2012 | ICML | Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling. | Yan Liu, Mohammad Taha Bahadori, Hongfei Li |
| 2012 | SDM | Granger Causality Analysis in Irregular Time Series. | Mohammad Taha Bahadori, Yan Liu |
| 2011 | ICDM | Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning. | Mohammad Taha Bahadori, Yan Liu, Dan Zhang |