Publications

A full list of my publications can be found here
* denotes joint first authorship

  • Hypothesis Testing the Circuit Hypothesis in LLMs
    C Shi, N Beltran-Velez, A Nazaret, C Zheng, A Garriga-Alonso, A Jesson, M Makar, D Blei
    NeurIPS 2024 [workshop version, full paper forthcoming]

  • Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
    T Chang, L Warrenburg, S Park, R Parikh, M Makar, J Wiens
    Neurips 2024 forthcoming

  • Learning to Rank for Optimal Treatment Allocation Under Resource Constraints
    F Kamran, M Makar, J Wiens
    AIStats 2024 [paper]

  • Offline policy evaluation and optimization under confounding
    C Kausik, Y Lu, K Tan, M Makar, Y Wang, A Tewari
    AIStats 2024 [paper]

  • Partial identification of the maximum mean discrepancy with mismeasured data
    R. Nafshi, M. Makar
    UAI, 2024 [paper]

  • Uncovering the Varied Impact of Behavioral Change Messages on Population Groups
    J. Xu, R. Mihalcea, E. Frank, S. Sen, M. Makar
    MLHC 2023 [paper]

  • Fairness and robustness in anti-causal prediction settings
    M. Makar and A. D'Amour
    TMLR 2023 [paper]

  • Conditional differential measurement error: partial identifiability and estimation
    P. Huang and M. Makar
    NeurIPS 2022 workshop on causal ML for real world impact [paper]

  • Causally motivated multi-shortcut identification and removal
    J. Zheng, M. Makar
    NeurIPS 2022 [paper]

  • Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
    S. Tang, M. Makar, M. Sjoding, F. Doshi-Velez, J. Wiens
    NeurIPS 2022 [paper]

  • Learning Concept Credible Models for Mitigating Shortcuts
    J. Wang, S. Jabbour, M. Makar, M. Sjoding, J. Wiens
    NeurIPS 2022 [paper]

  • Causally-motivated shortcut removal using auxiliary labels
    M. Makar, B. Packer, D. Moldovan, D. Blalock, Y. Halpern, A. D'Amour
    AIStats 2022 [paper]

  • Exploiting structured data for learning contagious diseases under incomplete testing
    M. Makar, L. West, D. Hooper, E. Horvitz, E. Shenoy, J. Guttag
    ICML 2021, [paper]

  • Estimation of Bounds on Potential Outcomes for Decision Making
    M. Makar, F. Johansson, J. Guttag, D. Sontag
    ICML 2020 [paper]

  • A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
    M. Makar, A. Swaminathan, E. Kiciman
    AAAI 2019 [paper]

  • Learning the Influence of Individual Clostridioides difficile Infections
    E. Mu, M. Makar, L. West, J. Guttag, D. Rosenberg, E. Shenoy
    Open Forum Infectious Diseases 2019

  • Learning the Probability of Activation in the Presence of Latent spreaders
    M. Makar, J. Guttag, J. Wiens
    AAAI 2018 [paper]

  • A generalizable, data-driven approach to predict daily risk of Clostridium difficile infection at two large academic health centers
    J. Oh*, M. Makar*, et al.
    Infection Control and Hospital Epidemiology 2018 [paper]

  • The Most Expensive Patients in the Hospital
    K. Joynt, M. Makar, A. Gawande, D. Cutler, Z. Obermeyer
    Circulation 2018 [paper]

  • Estimating the Causal Effectof Fine Particulate Matter Levels on Death and Hospitalization: Are Levels Below the Safety Standards Harmful?
    M. Makar *, J. Antonelli*, Q. Di, J. Schwartz, D. Cutler, F. Dominici
    Epidemiology 2017 [paper]

  • A data-driven approach to predict daily risk of Clostridium difficile infection at two large academic health centers
    J. Oh*, M. Makar*, et al.
    Open Forum Infectious Diseases 2017 [paper]

  • Association between the Medicare hospice benefit and health care utilization and costs for patients with poor-prognosis cancer
    Z. Obermeyer, M. Makar, S. Abujaber, F. Dominici, S. Block, D. Cutler
    Journal ofthe American Medical Association 2014 [paper]

  • Short-term mortality prediction for elderly patients using Medicare claims data
    M. Makar, M. Ghassemi, D. Cutler, Z. Obermeyer
    International Journal of Machine Learning and Computing 2015 [paper]

  • Cost Savings Associated with Expanded Hospice Use Among Medicare Beneficiaries with Poor Prognosis Cancer
    B. Powers, M. Makar, D. Cutler, Z. Obermeyer
    Journal of Palliative Medicine 2015 [paper]

  • Emergency care delivery in 59 low- and middle-income countries: Systematic review
    Z. Obermeyer, S. Abujaber, M. Makar, S. Stoll, S. Kayden, L. Wallis, T. Reynolds
    WHO Bulletin 2015 [paper]

  • Physician revealed preferences for hospice are strongly related to their patients’ enrollment in hospice
    Z. Obermeyer, B. Powers, M. Makar, N. Keating, D. Cutler
    Health Affairs 2015 [paper]

  • Emergency Care Use and the Medicare Hospice Benefit for Individuals with Cancer with a Poor Prognosis
    Z. Obermeyer, A. Clarke, M. Makar, J. Schuur, D. Cutler
    Journal of the American Geriatrics Society 2016 [paper]

  • Impact of a dedicated palliative radiation oncology service onthe use of single fraction and hypofractionated radiation therapy among patients with bone metasteses
    S. Skamene, I. Agarwal, M. Makar, et al.
    Annals of Palliative Medicine 2017 [paper]