Yonatan Mintz

Orcid: 0000-0002-0670-1794

According to our database1, Yonatan Mintz authored at least 25 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Applications of 0-1 Neural Networks in Prescription and Prediction.
CoRR, 2024

Comparing Reinforcement Learning and Human Learning With the Game of Hidden Rules.
IEEE Access, 2024

2023
Behavioral analytics for myopic agents.
Eur. J. Oper. Res., October, 2023

An Adaptive Optimization Approach to Personalized Financial Incentives in Mobile Behavioral Weight Loss Interventions.
CoRR, 2023

Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules.
CoRR, 2023

Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization.
CoRR, 2023

Model Based Reinforcement Learning for Personalized Heparin Dosing.
CoRR, 2023

2022
The Game of Hidden Rules: A New Kind of Benchmark Challenge for Machine Learning.
CoRR, 2022

A Mixed Integer Programming Approach to Training Dense Neural Networks.
CoRR, 2022

Optimal Local Explainer Aggregation for Interpretable Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Hard choices in artificial intelligence.
Artif. Intell., 2021

2020
Nonstationary Bandits with Habituation and Recovery Dynamics.
Oper. Res., 2020

Locally Interpretable Predictions of Parkinson's Disease Progression.
CoRR, 2020

Flexible Regularization Approaches for Fairness in Deep Learning.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
Behavioral modeling in weight loss interventions.
Eur. J. Oper. Res., 2019

Epistemic Therapy for Bias in Automated Decision-Making.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Precision Analytics: Learning and Optimization in the Personalized Setting.
PhD thesis, 2018

Personalizing Mobile Fitness Apps using Reinforcement Learning.
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.
Proceedings of the 16th European Control Conference, 2018

Control Synthesis for Bilevel Linear Model Predictive Control.
Proceedings of the 2018 Annual American Control Conference, 2018

Designing Real-Time Prices to Reduce Load Variability with HVAC.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Non-Stationary Bandits with Habituation and Recovery Dynamics.
CoRR, 2017

Local water storage control for the developing world.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Polynomial-time approximation for nonconvex optimization problems with an L1-constraint.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017


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