Maggie Makar

According to our database, Maggie Makar authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Offline Policy Evaluation and Optimization Under Confounding.

Chinmaya Kausik, Yangyi Lu, Kevin Tan, Maggie Makar, Yixin Wang, Ambuj Tewari

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Learning to Rank for Optimal Treatment Allocation Under Resource Constraints.

Fahad Kamran, Maggie Makar, Jenna Wiens

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Fairness and robustness in anti-causal prediction.

Maggie Makar, Alexander D'Amour

Trans. Mach. Learn. Res., 2023

Partial identification of kernel based two sample tests with mismeasured data.

Ron Nafshi, Maggie Makar

CoRR, 2023

Multi-Similarity Contrastive Learning.

Emily Mu, John V. Guttag, Maggie Makar

CoRR, 2023

Uncovering the Varied Impact of Behavioral Change Messages on Population Groups.

Jiaai Xu, Rada Mihalcea, Elena Frank, Srijan Sen, Maggie Makar

Proceedings of the Machine Learning for Healthcare Conference, 2023

2022

Causally motivated multi-shortcut identification and removal.

Jiayun Zheng, Maggie Makar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Concept Credible Models for Mitigating Shortcuts.

Jiaxuan Wang, Sarah Jabbour, Maggie Makar, Michael W. Sjoding, Jenna Wiens

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare.

Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Causally Motivated Multiple Shortcut Removal Using High Dimensional Auxiliary Labels.

Jiayun Zheng, Maggie Makar

Proceedings of the AMIA 2022, 2022

Causally motivated shortcut removal using auxiliary labels.

Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Machine learning and causality: Building efficient, and reliable models for decision-making.

Maggie Makar

PhD thesis, 2021

Exploiting structured data for learning contagious diseases under incomplete testing.

Maggie Makar, Lauren West, David Hooper, Eric Horvitz, Erica Shenoy, John V. Guttag

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Estimation of Bounds on Potential Outcomes For Decision Making.

Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Estimation of Utility-Maximizing Bounds on Potential Outcomes.

Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag

CoRR, 2019

A Distillation Approach to Data Efficient Individual Treatment Effect Estimation.

Maggie Makar, Adith Swaminathan, Emre Kiciman

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning the Probability of Activation in the Presence of Latent Spreaders.

Maggie Makar, John V. Guttag, Jenna Wiens

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data.

Maggie Makar, Marzyeh Ghassemi, David Cutler, Ziad Obermeyer

CoRR, 2017