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Yingfei Wang
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Cited by
Year
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
402015
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
362023
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
312017
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
292016
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
232019
Functional frank-wolfe boosting for general loss functions
C Wang, Y Wang, R Schapire
arXiv preprint arXiv:1510.02558, 2015
192015
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
162017
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
152022
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
132016
Smart testing with vaccination: A bandit algorithm for active sampling for managing covid-19
Y Wang, I Yahav, B Padmanabhan
Information Systems Research 35 (1), 120-144, 2024
11*2024
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
102018
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
82017
Stochastic multi-armed bandits with strongly reward-dependent delays
Y Tang, Y Wang, Z Zheng
International Conference on Artificial Intelligence and Statistics, 3043-3051, 2024
72024
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
72021
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
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
52023
Outstream video advertisement effectiveness
Y Yu, Y Wang, G Zhang, Z Zhang, C Wang, Y Tan
Available at SSRN 4098246, 2022
52022
Online experiments with diminishing marginal effects
J Xu, Y Wu, Y Wang, C Wang, Z Zheng
Available at SSRN, 2023
4*2023
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