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

  • Fairness and robustness in anti-causal prediction settings
    M. Makar and A. D'Amour

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

  • 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 forthcoming]

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

  • 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]