| Nested-batch-mode learning and stochastic optimization with an application to sequential multistage testing in materials science Y Wang, KG Reyes, KA Brown, CA Mirkin, WB Powell SIAM Journal on Scientific Computing 37 (3), B361-B381, 2015 | 40 | 2015 |
| The knowledge gradient for sequential decision making with stochastic binary feedbacks Y Wang, C Wang, W Powell International Conference on Machine Learning, 1138-1147, 2016 | 30 | 2016 |
| Efficient ordered combinatorial semi-bandits for whole-page recommendation Y Wang, H Ouyang, C Wang, J Chen, T Asamov, Y Chang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 26 | 2017 |
| How do tumor cytogenetics inform cancer treatments? dynamic risk stratification and precision medicine using multi-armed bandits Z Zhou, Y Wang, H Mamani, DG Coffey SSRN, 2019 | 19 | 2019 |
| Functional frank-wolfe boosting for general loss functions C Wang, Y Wang, R Schapire arXiv preprint arXiv:1510.02558, 2015 | 19 | 2015 |
| Learning online trends for interactive query auto-completion Y Wang, H Ouyang, H Deng, Y Chang IEEE Transactions on Knowledge and Data Engineering 29 (11), 2442-2454, 2017 | 17 | 2017 |
| Finite-time analysis for the knowledge-gradient policy Y Wang, WB Powell SIAM Journal on Control and Optimization 56 (2), 1105-1129, 2018 | 13* | 2018 |
| An optimal learning method for developing personalized treatment regimes Y Wang, W Powell arXiv preprint arXiv:1607.01462, 2016 | 13 | 2016 |
| Spoiled for choice? personalized recommendation for healthcare decisions: A multiarmed bandit approach T Zhou, Y Wang, L Yan, Y Tan Information Systems Research 34 (4), 1493-1512, 2023 | 11 | 2023 |
| Turn your online weight management from zero to hero: A multidimensional, continuous-time evaluation T Zhou, L Yan, Y Wang, Y Tan Management Science 68 (5), 3507-3527, 2022 | 10 | 2022 |
| A knowledge gradient policy for sequencing experiments to identify the structure of RNA Molecules using a sparse additive belief model Y Li, KG Reyes, J Vazquez-Anderson, Y Wang, LM Contreras, WB Powell INFORMS Journal on Computing 30 (4), 750-767, 2018 | 8 | 2018 |
| Reinforcement learning for dynamic bidding in truckload markets: an application to large-scale fleet management with advance commitments Y Wang, JMD Nascimento, W Powell arXiv preprint arXiv:1802.08976, 2018 | 8* | 2018 |
| Optimal learning for sequential decision making for expensive cost functions with stochastic binary feedbacks Y Wang, C Wang, W Powell arXiv preprint arXiv:1709.05216, 2017 | 8 | 2017 |
| The Influence of Self-Regulation of Sharing Economy: Evidence from Unstructured Data Y Meng, Zixuan and Lin, Zhijie and Wang, Yingfei and Tan https://ssrn.com/abstract=3034113, 2019 | 7* | 2019 |
| Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19 Y Wang, I Yahav, B Padmanabhan Information Systems Research, 2023 | 6* | 2023 |
| No-regret learning in two-echelon supply chain with unknown demand distribution M Zhang, S Chen, H Luo, Y Wang International Conference on Artificial Intelligence and Statistics, 3270-3298, 2023 | 6 | 2023 |
| The Effects of Verbal and Visual Marketing Content in Social Media Settings: A Deep Learning Approach L Liu, Y Wang, Z Fang, S Wu Available at SSRN 3920764, 2021 | 6 | 2021 |
| Outstream video advertisement effectiveness Y Yu, Y Wang, G Zhang, Z Zhang, C Wang, Y Tan Available at SSRN 4098246, 2022 | 3 | 2022 |
| Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond D Jiang, H Luo, C Wang, Y Wang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 2 | 2021 |
| MOLTE: a Modular Optimal Learning Testing Environment Y Wang, W Powell arXiv preprint arXiv:1709.04553, 2017 | 2 | 2017 |
Warrren B PowellPrinceton UniversityVerified email at princeton.edu
