| A new algorithm for non-stationary contextual bandits: Efficient, optimal and parameter-free Y Chen, CW Lee, H Luo, CY Wei Conference on Learning Theory, 696-726, 2019 | 157* | 2019 |
| Fair contextual multi-armed bandits: Theory and experiments Y Chen, A Cuellar, H Luo, J Modi, H Nemlekar, S Nikolaidis Conference on Uncertainty in Artificial Intelligence, 181-190, 2020 | 71 | 2020 |
| Reward-free rl is no harder than reward-aware rl in linear markov decision processes AJ Wagenmaker, Y Chen, M Simchowitz, S Du, K Jamieson International Conference on Machine Learning, 22430-22456, 2022 | 67 | 2022 |
| Multi-armed bandits with fairness constraints for distributing resources to human teammates H Claure, Y Chen, J Modi, M Jung, S Nikolaidis Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020 | 62 | 2020 |
| First-order regret in reinforcement learning with linear function approximation: A robust estimation approach AJ Wagenmaker, Y Chen, M Simchowitz, S Du, K Jamieson International Conference on Machine Learning, 22384-22429, 2022 | 38 | 2022 |
| Improved corruption robust algorithms for episodic reinforcement learning Y Chen, S Du, K Jamieson International Conference on Machine Learning, 1561-1570, 2021 | 34 | 2021 |
| Online and bandit algorithms for nonstationary stochastic saddle-point optimization A Roy, Y Chen, K Balasubramanian, P Mohapatra arXiv preprint arXiv:1912.01698, 2019 | 25 | 2019 |
| Active multi-task representation learning Y Chen, K Jamieson, S Du International Conference on Machine Learning, 3271-3298, 2022 | 14 | 2022 |
| Improved active multi-task representation learning via lasso Y Wang, Y Chen, K Jamieson, SS Du International Conference on Machine Learning, 35548-35578, 2023 | 11 | 2023 |
| LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning J Zhang, Y Chen, G Canal, AM Das, G Bhatt, S Mussmann, Y Zhu, ... Journal of Data-centric Machine Learning Research, 2024 | 8* | 2024 |
| Corruption robust active learning Y Chen, SS Du, KG Jamieson Advances in Neural Information Processing Systems 34, 29643-29654, 2021 | 8 | 2021 |
| Decoding-time language model alignment with multiple objectives R Shi, Y Chen, Y Hu, AL Liu, H Hajishirzi, NA Smith, SS Du arXiv preprint arXiv:2406.18853, 2024 | 7 | 2024 |
| An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models G Bhatt, Y Chen, AM Das, J Zhang, ST Truong, S Mussmann, Y Zhu, ... arXiv preprint arXiv:2401.06692, 2024 | 7 | 2024 |
| Causal bandits: Online decision-making in endogenous settings J Zhang, Y Chen, A Singh arXiv preprint arXiv:2211.08649, 2022 | 6 | 2022 |
| More practical and adaptive algorithms for online quantum state learning Y Chen, X Wang arXiv preprint arXiv:2006.01013, 2020 | 6 | 2020 |
| CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning Y Wang, Y Chen, W Yan, A Fang, W Zhou, K Jamieson, SS Du arXiv preprint arXiv:2405.19547, 2024 | 5* | 2024 |
| Active representation learning for general task space with applications in robotics Y Chen, Y Huang, SS Du, KG Jamieson, G Shi Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning Y Chen, S Wang, Z Yang, H Sharma, N Karampatziakis, D Yu, ... arXiv preprint arXiv:2407.02119, 2024 | | 2024 |
| Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler Y Chen, K Sankararaman, A Lazaric, M Pirotta, D Karamshuk, Q Wang, ... arXiv preprint arXiv:2211.02233, 2022 | | 2022 |
| A Deep Bayesian Bandits Approach for Anticancer Therapy: Exploration via Functional Prior M Lu, Y Chen, SI Lee arXiv preprint arXiv:2205.02944, 2022 | | 2022 |
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
