Maggie Makar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Resource Constraints

Manually Labeled

Reinforcement Learning

Top Venues

Publications

Fahad Kamran, Maggie Makar, Jenna Wiens
Learning to Rank for Optimal Treatment Allocation Under Resource Constraints. AISTATS (2024)
Chinmaya Kausik, Yangyi Lu, Kevin Tan, Maggie Makar, Yixin Wang, Ambuj Tewari
Offline Policy Evaluation and Optimization Under Confounding. AISTATS (2024)
Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. CoRR (2023)
Jiaai Xu, Rada Mihalcea, Elena Frank, Srijan Sen, Maggie Makar
Uncovering the Varied Impact of Behavioral Change Messages on Population Groups. MLHC (2023)
Ron Nafshi, Maggie Makar
Partial identification of kernel based two sample tests with mismeasured data. CoRR (2023)
Emily Mu, John V. Guttag, Maggie Makar
Multi-Similarity Contrastive Learning. CoRR (2023)
Maggie Makar, Alexander D'Amour
Fairness and robustness in anti-causal prediction. Trans. Mach. Learn. Res. 2023 (2023)
Jiayun Zheng, Maggie Makar
Causally Motivated Multiple Shortcut Removal Using High Dimensional Auxiliary Labels. AMIA (2022)
Jiayun Zheng, Maggie Makar
Causally motivated multi-shortcut identification and removal. NeurIPS (2022)
Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. NeurIPS (2022)
Maggie Makar, Ben Packer, Dan Moldovan, Davis Blalock, Yoni Halpern, Alexander D'Amour
Causally motivated shortcut removal using auxiliary labels. AISTATS (2022)
Maggie Makar, Alexander D'Amour
Fairness and robustness in anti-causal prediction. CoRR (2022)
Jiaxuan Wang, Sarah Jabbour, Maggie Makar, Michael W. Sjoding, Jenna Wiens
Learning Concept Credible Models for Mitigating Shortcuts. NeurIPS (2022)
Maggie Makar, Ben Packer, Dan Moldovan, Davis Blalock, Yoni Halpern, Alexander D'Amour
Causally-motivated Shortcut Removal Using Auxiliary Labels. CoRR (2021)
Maggie Makar, Lauren West, David Hooper, Eric Horvitz, Erica Shenoy, John V. Guttag
Exploiting structured data for learning contagious diseases under incomplete testing. ICML (2021)
Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag
Estimation of Bounds on Potential Outcomes For Decision Making. ICML (2020)
Maggie Makar, Adith Swaminathan, Emre Kiciman
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. AAAI (2019)
Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag
Estimation of Utility-Maximizing Bounds on Potential Outcomes. CoRR (2019)
Maggie Makar, John V. Guttag, Jenna Wiens
Learning the Probability of Activation in the Presence of Latent Spreaders. AAAI (2018)
Maggie Makar, Marzyeh Ghassemi, David Cutler, Ziad Obermeyer
Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data. CoRR (2017)
Maggie Makar, John V. Guttag, Jenna Wiens
Learning the Probability of Activation in the Presence of Latent Spreaders. CoRR (2017)