Robust learning of consumer preferences Y Feng, R Caldentey, CT Ryan Operations Research 70 (2), 918-962, 2022 | 24* | 2022 |
Dynamic learning and market making in spread betting markets with informed bettors JR Birge, Y Feng, NB Keskin, A Schultz Operations Research 69 (6), 1746-1766, 2021 | 15 | 2021 |
On a mallows-type model for (ranked) choices Y Feng, Y Tang Advances in Neural Information Processing Systems 35, 3052-3065, 2022 | 5 | 2022 |
Designing sparse graphs for stochastic matching with an application to middle-mile transportation management Y Feng, R Caldentey, L Xin, Y Zhong, B Wang, H Hu Management Science, 2024 | 3 | 2024 |
Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback J Yang, Y Feng Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 1 | 2023 |
Myopic Quantal Response Policy: Thompson Sampling Meets Behavioral Economics J Ding, Y Feng, Y Rong arXiv preprint arXiv:2207.01028, 2022 | 1 | 2022 |
A Mallows-type Model for Preference Learning from (Ranked) Choices Y Feng, Y Tang Available at SSRN 4539900, 2023 | | 2023 |
Optimal Partition for Multi-Type Queueing System S Cao, S He, Z Wang, Y Feng arXiv preprint arXiv:2111.14104, 2021 | | 2021 |
Active Learning in Marketplaces and Online Platforms Y Feng The University of Chicago, 2020 | | 2020 |