Publications may be out of date for the most up to date publications list please see my Google Scholar profile.
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​ Journal Publications:

• Fengxu Li, Stephanie M. Carpenter, Matthew P. Buman, Yonatan Mintz. Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics.
  Honorary mention, INFORMS Undergraduate Operations Research Prize.
  Submitted to Manufacturing & Service Operations Management (M&SOM).
• Katherine Adams, Justine Boutilier, Qinyang He, Yonatan Mintz. Finite-Time Guarantees for Multi-Agent Combinatorial Bandits with Nonstationary Rewards.
  Submitted to Operations Research (OR).
• Eric Pulick, Kyle Carey, Tonela Qyli, Madeline Oguss, Jamila Picart, Leena Penumalee, Lily Nezirova, Sean Tully, Emily Gilbert, Nirav Shah, Urmila Ravichandran, Majid Afshar, Dana Edelson, Yonatan Mintz, Matthew Churpek. Treatment Recommendations for Clinical Deterioration on the Wards: Development and Validation of Machine Learning Models.
  Minor revision in Journal of Medical Internet Research (JMIR) AI.
• Eric Pulick, John Curtin, Yonatan Mintz. Idiographic Lapse Prediction with State Space Modeling.
  Journal of Medical Internet Research (JMIR) Formative Research, 2025.
• Qiaomei Li, Corrine I. Voils, Yonatan Mintz. Applying Machine Learning To Identify Patterns Of Adherence in A Behavioral Weight Management Intervention With Financial Incentives.
  Submitted to Health Psychology, 2024.
• Abhijeet Bhardwaj, Yonatan Mintz, Dharmaraj Veeramani. Modeling continuous sensor signals and discrete maintenance events using the Action Specific-Input Output Hidden Markov Model.
  IEEE Transactions on Reliability, 2024.
• Vrishabh Patil, Kara Hoppe, Yonatan Mintz . Applications of 0-1 Neural Networks in Prescription and Prediction.
  Accepted to Health Care Management Science, 2025.
• Eric Pulick, Vladimir Menkov, Yonatan Mintz, Paul Kantor, Vicki M. Bier. Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules.
  IEEE Access, 2024.
• 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.
  Production and Operations Management (POM), 2025.
• 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.
  Minor revision at Operations Research .
• 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.
  Journal of Internet Medical Research AI, 2024.
• Yoon Lee, Yonatan Mintz, Zuo-Jun Max Shen, Anil Aswani, Cong Yang (2022),  Optimal Policy for Inventory Management with Periodic and Controlled Resets.
  Manufacturing & Service Operations Management (M&SOM), 2025.
• 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 (OR).
• 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. 
  Journal of Medical Internet Research (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. 
  Journal of Medical Internet Research (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 (EJOR).
• Anil Aswani, Philip Kaminsky, Yonatan Mintz, Elena Flowers, and Yoshimi Fukuoka (2018), Behavioral modeling in weight loss interventions. 
  European Journal of Operational Research (EJOR) . (alphabetic authorship by institution)

​Conference Publications:

• Qinyang He and Yonatan Mintz. Prescriptive Optimization for Adaptive Auto-insurance Pricing with Telematics Data.
  Submited to American Control Conference (ACC).
• Rahul Shenoy, Fengxu Li, Yonatan Mintz, Anthony McDonald. Nudging Into Safer Driving: A Naturalistic Driving Study of the Behavioral Analytics Algorithm for Hard Braking.
  Transportation Research Board (TRB) 2026 Annual Meeting, 2026.
• Eric Pulick and Yonatan Mintz. An Adaptive Control Approach to Treatment Selection for Substance Use Disorders .
  To appear in 64th IEEE Conference on Decision and Control (CDC), 2025.
• Qinyang He and Yonatan Mintz. Non-stationary Bandits with Habituation and Recovery Dynamics and Knapsack Constraints.
  63rd IEEE Conference on Decision and Control (CDC), 2024.
• 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).