| Efficient frameworks for generalized low-rank matrix bandit problems Y Kang, CJ Hsieh, TCM Lee Advances in Neural Information Processing Systems 35, 19971-19983, 2022 | 24 | 2022 |
| Momentum is All You Need for Data-Driven Adaptive Optimization Y Wang, Y Kang, C Qin, H Wang, Y Xu, Y Zhang, Y Fu 2023 IEEE International Conference on Data Mining (ICDM), 1385-1390, 2023 | 18* | 2023 |
| Estimation of the number of endmembers via thresholding ridge ratio criterion X Zhu, Y Kang, J Liu IEEE Transactions on Geoscience and Remote Sensing 58 (1), 637-649, 2019 | 12 | 2019 |
| Robust lipschitz bandits to adversarial corruptions Y Kang, CJ Hsieh, TCM Lee Advances in Neural Information Processing Systems 36, 10897-10908, 2023 | 11 | 2023 |
| Syndicated bandits: A framework for auto tuning hyper-parameters in contextual bandit algorithms Q Ding, Y Kang, YW Liu, TCM Lee, CJ Hsieh, J Sharpnack Advances in Neural Information Processing Systems 35, 1170-1181, 2022 | 9 | 2022 |
| Online continuous hyperparameter optimization for generalized linear contextual bandits Y Kang, CJ Hsieh, T Lee arXiv preprint arXiv:2302.09440, 2023 | 4* | 2023 |
| Low-rank matrix bandits with heavy-tailed rewards Y Kang, CJ Hsieh, T Lee arXiv preprint arXiv:2404.17709, 2024 | | 2024 |
| Biased Dueling Bandits with Stochastic Delayed Feedback B Yi, Y Kang, Y Li Transactions on Machine Learning Research, 2024 | | 2024 |
| Momentum in Momentum for Adaptive Optimization Y Wang, Y Kang, C Qin, H Wang, Y Xu, Y Zhang, Y Fu | | |
