Maggie Makar - RankMe

29 papers A* 9A 4Misc 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Teaching Invariance Using Privileged Mediation Information. Trans. Mach. Learn. Res. Dylan Zapzalka, Maggie Makar
2025	J	`jnl`	Estimating Misreporting in the Presence of Genuine Modification: A Causal Perspective. CoRR Dylan Zapzalka, Trenton Chang, Lindsay A. Warrenburg, Sae-Hwan Park, Daniel K. Shenfeld, Ravi B. Parikh, Jenna Wiens, Maggie Makar
2024	A*	`conf`	Hypothesis Testing the Circuit Hypothesis in LLMs. NeurIPS Claudia Shi, Nicolas Beltran-Velez, Achille Nazaret, Carolina Zheng, Adrià Garriga-Alonso, Andrew Jesson, Maggie Makar, David M. Blei
2024	J	`jnl`	Hypothesis Testing the Circuit Hypothesis in LLMs. CoRR Claudia Shi, Nicolas Beltran-Velez, Achille Nazaret, Carolina Zheng, Adrià Garriga-Alonso, Andrew Jesson, Maggie Makar, David M. Blei
2024	A	`conf`	Learning to Rank for Optimal Treatment Allocation Under Resource Constraints. AISTATS Fahad Kamran, Maggie Makar, Jenna Wiens
2024	A	`conf`	Offline Policy Evaluation and Optimization Under Confounding. AISTATS Chinmaya Kausik, Yangyi Lu, Kevin Tan, Maggie Makar, Yixin Wang, Ambuj Tewari
2024	A	`conf`	Partial identification of the maximum mean discrepancy with mismeasured data. UAI Ron Nafshi, Maggie Makar
2024	A*	`conf`	Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation. NeurIPS Trenton Chang, Lindsay A. Warrenburg, Sae-Hwan Park, Ravi B. Parikh, Maggie Makar, Jenna Wiens
2024	J	`jnl`	Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation. CoRR Trenton Chang, Lindsay A. Warrenburg, Sae-Hwan Park, Ravi B. Parikh, Maggie Makar, Jenna Wiens
2023	J	`jnl`	Fairness and robustness in anti-causal prediction. Trans. Mach. Learn. Res. Maggie Makar, Alexander D'Amour
2023	J	`jnl`	Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. CoRR Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens
2023	J	`jnl`	Multi-Similarity Contrastive Learning. CoRR Emily Mu, John V. Guttag, Maggie Makar
2023	J	`jnl`	Partial identification of kernel based two sample tests with mismeasured data. CoRR Ron Nafshi, Maggie Makar
2023	—	`conf`	Uncovering the Varied Impact of Behavioral Change Messages on Population Groups. MLHC Jiaai Xu, Rada Mihalcea, Elena Frank, Srijan Sen, Maggie Makar
2022	Misc	`conf`	Causally Motivated Multiple Shortcut Removal Using High Dimensional Auxiliary Labels. AMIA Jiayun Zheng, Maggie Makar
2022	A*	`conf`	Causally motivated multi-shortcut identification and removal. NeurIPS Jiayun Zheng, Maggie Makar
2022	A	`conf`	Causally motivated shortcut removal using auxiliary labels. AISTATS Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour
2022	J	`jnl`	Fairness and robustness in anti-causal prediction. CoRR Maggie Makar, Alexander D'Amour
2022	A*	`conf`	Learning Concept Credible Models for Mitigating Shortcuts. NeurIPS Jiaxuan Wang, Sarah Jabbour, Maggie Makar, Michael W. Sjoding, Jenna Wiens
2022	A*	`conf`	Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. NeurIPS Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens
2021	J	`jnl`	Causally-motivated Shortcut Removal Using Auxiliary Labels. CoRR Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour
2021	A*	`conf`	Exploiting structured data for learning contagious diseases under incomplete testing. ICML Maggie Makar, Lauren West, David Hooper, Eric Horvitz, Erica Shenoy, John V. Guttag
2021	—	`—`	Machine learning and causality: Building efficient, and reliable models for decision-making. Maggie Makar
2020	A*	`conf`	Estimation of Bounds on Potential Outcomes For Decision Making. ICML Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag
2019	A*	`conf`	A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. AAAI Maggie Makar, Adith Swaminathan, Emre Kiciman
2019	J	`jnl`	Estimation of Utility-Maximizing Bounds on Potential Outcomes. CoRR Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag
2018	A*	`conf`	Learning the Probability of Activation in the Presence of Latent Spreaders. AAAI Maggie Makar, John V. Guttag, Jenna Wiens
2017	J	`jnl`	Learning the Probability of Activation in the Presence of Latent Spreaders. CoRR Maggie Makar, John V. Guttag, Jenna Wiens
2017	J	`jnl`	Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data. CoRR Maggie Makar, Marzyeh Ghassemi, David Cutler, Ziad Obermeyer