Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data. - Maggie Makar; Marzyeh Ghassemi; David Cutler; Ziad Obermeyer (CoRR, 2017)

Learning the Probability of Activation in the Presence of Latent Spreaders. - Maggie Makar; John V. Guttag; Jenna Wiens (AAAI, 2018)

A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. - Maggie Makar; Adith Swaminathan; Emre Kiciman (AAAI, 2019)

Estimation of Utility-Maximizing Bounds on Potential Outcomes. - Maggie Makar; Fredrik D. Johansson; John V. Guttag; David A. Sontag (CoRR, 2019)

Estimation of Bounds on Potential Outcomes For Decision Making. - Maggie Makar; Fredrik D. Johansson; John V. Guttag; David A. Sontag (ICML, 2020)

Exploiting structured data for learning contagious diseases under incomplete testing. - Maggie Makar; Lauren West; David Hooper; Eric Horvitz; Erica Shenoy; John V. Guttag (ICML, 2021)

Machine learning and causality: Building efficient, and reliable models for decision-making. - Maggie Makar (2021)

Causally motivated shortcut removal using auxiliary labels. - Maggie Makar; Ben Packer; Dan Moldovan; Davis W. Blalock; Yoni Halpern; Alexander D'Amour (AISTATS, 2022)

Causally Motivated Multiple Shortcut Removal Using High Dimensional Auxiliary Labels. - Jiayun Zheng; Maggie Makar (AMIA, 2022)

Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. - Shengpu Tang; Maggie Makar; Michael W. Sjoding; Finale Doshi-Velez; Jenna Wiens (NeurIPS, 2022)

Learning Concept Credible Models for Mitigating Shortcuts. - Jiaxuan Wang; Sarah Jabbour; Maggie Makar; Michael W. Sjoding; Jenna Wiens (NeurIPS, 2022)

Causally motivated multi-shortcut identification and removal. - Jiayun Zheng; Maggie Makar (NeurIPS, 2022)

Uncovering the Varied Impact of Behavioral Change Messages on Population Groups. - Jiaai Xu; Rada Mihalcea; Elena Frank; Srijan Sen; Maggie Makar (MLHC, 2023)

Multi-Similarity Contrastive Learning. - Emily Mu; John V. Guttag; Maggie Makar (CoRR, 2023)

Partial identification of kernel based two sample tests with mismeasured data. - Ron Nafshi; Maggie Makar (CoRR, 2023)

Fairness and robustness in anti-causal prediction. - Maggie Makar; Alexander D'Amour (Trans. Mach. Learn. Res., 2023)

Learning to Rank for Optimal Treatment Allocation Under Resource Constraints. - Fahad Kamran; Maggie Makar; Jenna Wiens (AISTATS, 2024)

Offline Policy Evaluation and Optimization Under Confounding. - Chinmaya Kausik; Yangyi Lu; Kevin Tan; Maggie Makar; Yixin Wang; Ambuj Tewari (AISTATS, 2024)

Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation. - Trenton Chang; Lindsay A. Warrenburg; Sae-Hwan Park; Ravi B. Parikh; Maggie Makar; Jenna Wiens (NeurIPS, 2024)

Hypothesis Testing the Circuit Hypothesis in LLMs. - Claudia Shi; Nicolas Beltran-Velez; Achille Nazaret; Carolina Zheng; Adrià Garriga-Alonso; Andrew Jesson; Maggie Makar; David M. Blei (NeurIPS, 2024)

Partial identification of the maximum mean discrepancy with mismeasured data. - Ron Nafshi; Maggie Makar (UAI, 2024)

Estimating Misreporting in the Presence of Genuine Modification: A Causal Perspective. - Dylan Zapzalka; Trenton Chang; Lindsay A. Warrenburg; Sae-Hwan Park; Daniel K. Shenfeld; Ravi B. Parikh; Jenna Wiens; Maggie Makar (CoRR, 2025)