Yonatan Mintz

According to our database, Yonatan Mintz authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Applications of 0-1 Neural Networks in Prescription and Prediction.

Vrishabh Patil, Kara Hoppe, Yonatan Mintz

CoRR, 2024

2023

Behavioral analytics for myopic agents.

Yonatan Mintz, Anil Aswani, Philip M. Kaminsky, Elena Flowers, Yoshimi Fukuoka

Eur. J. Oper. Res., October, 2023

An Adaptive Optimization Approach to Personalized Financial Incentives in Mobile Behavioral Weight Loss Interventions.

Qiaomei Li, Kara L. Gavin, Corrine I. Voils, Yonatan Mintz

CoRR, 2023

Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules.

Eric Pulick, Vladimir Menkov, Yonatan Mintz, Paul B. Kantor, Vicki M. Bier

CoRR, 2023

Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization.

Katherine B. Adams, Justin J. Boutilier, Sarang Deo, Yonatan Mintz

CoRR, 2023

Model Based Reinforcement Learning for Personalized Heparin Dosing.

Qinyang He, Yonatan Mintz

CoRR, 2023

2022

The Game of Hidden Rules: A New Kind of Benchmark Challenge for Machine Learning.

Eric Pulick, Shubham Bharti, Yiding Chen, Vladimir Menkov, Yonatan Mintz, Paul B. Kantor, Vicki M. Bier

CoRR, 2022

A Mixed Integer Programming Approach to Training Dense Neural Networks.

Vrishabh Patil, Yonatan Mintz

CoRR, 2022

Optimal Local Explainer Aggregation for Interpretable Prediction.

Qiaomei Li, Rachel Cummings, Yonatan Mintz

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Hard choices in artificial intelligence.

Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz

Artif. Intell., 2021

2020

Nonstationary Bandits with Habituation and Recovery Dynamics.

Yonatan Mintz, Anil Aswani, Philip M. Kaminsky, Elena Flowers, Yoshimi Fukuoka

Oper. Res., 2020

Locally Interpretable Predictions of Parkinson's Disease Progression.

Qiaomei Li, Rachel Cummings, Yonatan Mintz

CoRR, 2020

Flexible Regularization Approaches for Fairness in Deep Learning.

Matt Olfat, Yonatan Mintz

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments.

Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Behavioral modeling in weight loss interventions.

Anil Aswani, Philip M. Kaminsky, Yonatan Mintz, Elena Flowers, Yoshimi Fukuoka

Eur. J. Oper. Res., 2019

Epistemic Therapy for Bias in Automated Decision-Making.

Thomas Krendl Gilbert, Yonatan Mintz

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Precision Analytics: Learning and Optimization in the Personalized Setting.

Yonatan Mintz

PhD thesis, 2018

Personalizing Mobile Fitness Apps using Reinforcement Learning.

Mo Zhou, Yonatan Mintz, Yoshimi Fukuoka, Ken Goldberg, Elena Flowers, Philip M. Kaminsky, Alejandro Castillejo, Anil Aswani

Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

Impact of Occupancy Modeling and Horizon Length on HVAC Controller Efficiency.

Christian Rabbi Garaza, Pedro Hespanhol, Yonatan Mintz, Jhoanna Rhodette Pedrasa, Anil Aswani

Proceedings of the 16th European Control Conference, 2018

Control Synthesis for Bilevel Linear Model Predictive Control.

Yonatan Mintz, John Audie Cabrera, Jhoanna Rhodette Pedrasa, Anil Aswani

Proceedings of the 2018 Annual American Control Conference, 2018

Designing Real-Time Prices to Reduce Load Variability with HVAC.

John Audie Cabrera, Yonatan Mintz, Jhoanna Rhodette Pedrasa, Anil Aswani

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Non-Stationary Bandits with Habituation and Recovery Dynamics.

Yonatan Mintz, Anil Aswani, Philip M. Kaminsky, Elena Flowers, Yoshimi Fukuoka

CoRR, 2017

Local water storage control for the developing world.

Yonatan Mintz, Zuo-Jun Max Shen, Anil Aswani

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Polynomial-time approximation for nonconvex optimization problems with an L1-constraint.

Yonatan Mintz, Anil Aswani

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017