Evaluating machine learning–based automated personalized daily step goals delivered through a mobile phone app: Randomized controlled trial M Zhou, Y Fukuoka, Y Mintz, K Goldberg, P Kaminsky, E Flowers, ... JMIR mHealth and uHealth 6 (1), e9117, 2018 | 107 | 2018 |
Personalizing mobile fitness apps using reinforcement learning M Zhou, Y Mintz, Y Fukuoka, K Goldberg, E Flowers, P Kaminsky, ... CEUR workshop proceedings 2068, 2018 | 73 | 2018 |
Nonstationary bandits with habituation and recovery dynamics Y Mintz, A Aswani, P Kaminsky, E Flowers, Y Fukuoka Operations Research 68 (5), 1493-1516, 2020 | 68 | 2020 |
Hard choices in artificial intelligence R Dobbe, TK Gilbert, Y Mintz Artificial Intelligence 300, 103555, 2021 | 58 | 2021 |
Behavioral modeling in weight loss interventions A Aswani, P Kaminsky, Y Mintz, E Flowers, Y Fukuoka European journal of operational research 272 (3), 1058-1072, 2019 | 44 | 2019 |
Applying natural language processing to understand motivational profiles for maintaining physical activity after a mobile app and accelerometer-based intervention: the mPED … Y Fukuoka, TG Lindgren, YD Mintz, J Hooper, A Aswani JMIR mHealth and uHealth 6 (6), e10042, 2018 | 33 | 2018 |
Behavioral analytics for myopic agents Y Mintz, A Aswani, P Kaminsky, E Flowers, Y Fukuoka arXiv preprint arXiv:1702.05496, 2017 | 28* | 2017 |
Hard choices in artificial intelligence: Addressing normative uncertainty through sociotechnical commitments R Dobbe, TK Gilbert, Y Mintz arXiv preprint arXiv:1911.09005, 2019 | 16 | 2019 |
Epistemic therapy for bias in automated decision-making TK Gilbert, Y Mintz Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 61-67, 2019 | 16 | 2019 |
Control synthesis for bilevel linear model predictive control Y Mintz, JA Cabrera, JR Pedrasa, A Aswani 2018 Annual American Control Conference (ACC), 2338-2343, 2018 | 7 | 2018 |
Optimal local explainer aggregation for interpretable prediction Q Li, R Cummings, Y Mintz Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12000 …, 2022 | 6 | 2022 |
Impact of occupancy modeling and horizon length on hvac controller efficiency CR Garaza, P Hespanhol, Y Mintz, JR Pedrasa, A Aswani 2018 European Control Conference (ECC), 1-7, 2018 | 4 | 2018 |
Local water storage control for the developing world Y Mintz, ZJM Shen, A Aswani 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5074-5079, 2017 | 4 | 2017 |
Flexible regularization approaches for fairness in deep learning M Olfat, Y Mintz 2020 59th IEEE Conference on Decision and Control (CDC), 3389-3394, 2020 | 3 | 2020 |
Polynomial-time approximation for nonconvex optimization problems with an L1-constraint Y Mintz, A Aswani 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 682-687, 2017 | 3 | 2017 |
Model based reinforcement learning for personalized heparin dosing Q He, Y Mintz arXiv preprint arXiv:2304.10000, 2023 | 2 | 2023 |
Optimal Policy for Inventory Management with Periodic and Controlled Resets Y Lee, Y Mintz, A Aswani, ZJM Shen, C Yang arXiv preprint arXiv:2209.03571, 2022 | 2 | 2022 |
Designing Real-Time Prices to Reduce Load Variability with HVAC JA Cabrera, Y Mintz, JR Pedrasa, A Aswani 2018 Annual American Control Conference (ACC), 6170-6175, 2018 | 2 | 2018 |
An adaptive optimization approach to personalized financial incentives in mobile behavioral weight loss interventions Q Li, Y Mintz, K Gavin, C Voils arXiv preprint arXiv:2307.00444, 2023 | 1 | 2023 |
Planning a Community Approach to Diabetes Care in Low-and Middle-Income Countries Using Optimization KB Adams, JJ Boutilier, S Deo, Y Mintz arXiv preprint arXiv:2305.06426, 2023 | 1 | 2023 |