| 2024 | AISTATS | Learning to Rank for Optimal Treatment Allocation Under Resource Constraints. | Fahad Kamran, Maggie Makar, Jenna Wiens |
| 2024 | AISTATS | Offline Policy Evaluation and Optimization Under Confounding. | Chinmaya Kausik, Yangyi Lu, Kevin Tan, Maggie Makar, Yixin Wang, Ambuj Tewari |
| 2024 | UAI | Partial identification of the maximum mean discrepancy with mismeasured data. | Ron Nafshi, Maggie Makar |
| 2022 | AISTATS | Causally motivated shortcut removal using auxiliary labels. | Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour |
| 2022 | AMIA | Causally Motivated Multiple Shortcut Removal Using High Dimensional Auxiliary Labels. | Jiayun Zheng, Maggie Makar |
| 2021 | ICML | Exploiting structured data for learning contagious diseases under incomplete testing. | Maggie Makar, Lauren West, David Hooper, Eric Horvitz, Erica Shenoy, John V. Guttag |
| 2020 | ICML | Estimation of Bounds on Potential Outcomes For Decision Making. | Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag |
| 2019 | AAAI | A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. | Maggie Makar, Adith Swaminathan, Emre Kiciman |
| 2018 | AAAI | Learning the Probability of Activation in the Presence of Latent Spreaders. | Maggie Makar, John V. Guttag, Jenna Wiens |