Journal Publications:

• Jinxin Tao, Scott Infusino, Yonatan Mintz, Kara K. Hoppe (2024),  Predictive Modeling of Postpartum Blood Pressure Spikes. .
  American Journal of Obstetrics & Gynecology.
• Qiaomei Li, Kara L. Gavin, Corrine I. Voils,Yonatan Mintz (2023),  An Adaptive Optimization Approach to Personalized Financial Incentives in Mobile Behavioral Weight Loss Interventions.
  Submitted.
• Katherine B. Adams, Justin J. Boutilier, Sarang Deo,Yonatan Mintz (2023),  Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization.
  Submitted.
• Qinyang He and Yonatan Mintz (2023),  Model Based Reinforcement Learning for Personalized Heparin Dosing.
  Submitted.
• Ramsay Larson, Jinxin Tao, Yonatan Mintz, Oguzan Alagoz, Kara Hoppe (2023),  Predictive Modeling of Hypertension-Related Postpartum Readmission.
  Submitted.
• Yoon Lee, Yonatan Mintz, Zuo-Jun Max Shen, Anil Aswani, Cong Yang (2022),  Optimal Policy for Inventory Management with Periodic and Controlled Resets.
  Major Revision at Manufacturing & Service Operations Management (M&SOM).
• Roel Dobbe, Thomas K. Gilbert, and Yonatan Mintz (2021), Hard Choices in Artificial Intelligence. 
  Artificial Inteligence.
• Yonatan Mintz, Anil Aswani, Philip Kaminsky, Elena Flowers, and Yoshimi Fukuoka (2019), Non-Stationary Bandits with Habituation and Recovery Dynamics. 
  Finalist, 2017 INFORMS Health Application Society Pierskalla Best Paper Competition.
  Operations Research.
• Yoshimi Fukuoka, Teri Lindgren, Yonatan Mintz, Julie Hooper, and Anil Aswani(2018), Applying Natural Language Processing to Understand Motivational Profiles for Maintaining Physical Activity After a Mobile App and Accelerometer-Based Intervention: The mPED Randomized Controlled Trial. 
  JMIR mHealth and uHealth.
• Mo Zhou, Yoshimi Fukuoka, Yonatan Mintz, Ken Goldberg, Philip Kaminsky, Elena Flowers, and Anil Aswani (2018), Evaluating Customized Daily Step Goals Delivered Through a Mobile Phone App: a Randomized Controlled Trial. 
  JMIR mHealth and uHealth.
• Yonatan Mintz, Anil Aswani, Philip Kaminsky, Elena Flowers, and Yoshimi Fukuoka (2023), Behavioral Analytics for Myopic Agents. 
  Accepted to European Journal of Operational Research.
• Anil Aswani, Philip Kaminsky, Yonatan Mintz, Elena Flowers, and Yoshimi Fukuoka (2018), Behavioral modeling in weight loss interventions. 
  European Journal of Operational Research . (alphabetic authorship by institution)

​Conference Publications:

• Eric Pulick, Vladimir Menkov, Yonatan Mintz, Paul Kantor, and Vicki Bier (2023), Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules..
  Submitted.
• Eric Pulick, Shubham Bharti, Yiding Chen, Vladimir Menkov, Yonatan Mintz, Paul Kantor, and Vicki Bier (2022), The Game of Hidden Rules: A New Kind of Benchmark Challenge for Machine Learning..
  Submitted.
• Qiaomei Li, Rachel Cummings, and Yonatan Mintz(2022), Optimal Local Explainer Aggregation for Interpretable Prediction.
  AAAI conference on Aritifcial Intelligence.
• Vrishabh Patil and Yonatan Mintz(2021), Mixed Integer Programming Approach to Training Dense Neural Networks.
  Submitted.
• Matt Olfat and Yonatan Mintz (2020), Flexible Regularization Approaches for Fairness in Deep Learning.
  IEEE Conference on Decision and Control (CDC).
• Roel Dobbe, Thomas K. Gilbert, and Yonatan Mintz (2020),  Hard Choices in AI Safety: A Socieotechnical Approach to Certification.
  Artificial Inteligence Ethics and Society (AIES). Short version to appear in NeurIPS Joint Workshop on AI for Social Good (2019).
• Thomas K. Gilbert and Yonatan Mintz (2019), Epistemic Therapy for Bias in Automated Decision-Making.
  Artificial Inteligence Ethics and Society (AIES).
• Christian R. Garaza, Pedro Hespanhol, Yonatan Mintz, Jhoanna R. Pedrasa, and Anil  Aswani (2018), Impact of Occupancy Modeling and Horizon Length on HVAC Controller Efficiency.
  European Control Conference (ECC).
• Mo Zhou, Yonatan Mintz, Yoshimi Fukuoka, Ken Goldberg, Elena Flowers, Philip Kaminsky, Alejandro Castillejo, and Anil  Aswani (2018), Personalizing Mobile Fitness Apps Using Reinforcement Learning.
  ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE).
• Yonatan Mintz, John A. Cabrera, Jhoanna R. Pedrasa, and Anil  Aswani (2018), Control Synthesis for Bilevel Linear Model Predictive Control.
  American Control Conference (ACC).
• John A. Cabrera, Yonatan Mintz, Jhoanna R. Pedrasa, and Anil  Aswani (2018), Designing Real-time Prices to Reduce Load Variability with HVAC.
  American Control Conference (ACC).
• Yonatan Mintz, Zuo-Jun Max Shen, and Anil  Aswani (2017), Local Water Storage Control for the Developing World. 
  IEEE Conference on Decision and Control (CDC).
• Yonatan Mintz and Anil  Aswani (2017), Polynomial-time Approximation for Nonconvex Optimization Problems with an L1-Constraint. 
  IEEE Conference on Decision and Control (CDC).