| Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization Y Chen, A Krause ICML, 2013 | 178 | 2013 |
| A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes J Song, Y Chen, Y Yue The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 124 | 2019 |
| Rethinking explainability as a dialogue: A practitioner's perspective H Lakkaraju, D Slack, Y Chen, C Tan, S Singh arXiv preprint arXiv:2202.01875, 2022 | 82 | 2022 |
| Teaching Categories to Human Learners with Visual Explanations O Mac Aodha, S Su, Y Chen, P Perona, Y Yue Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 82 | 2018 |
| Sequential Information Maximization: When is Greedy Near-optimal? Y Chen, SH Hassani, A Karbasi, A Krause Conference on Learning Theory (COLT), 2015 | 75 | 2015 |
| Near optimal bayesian active learning for decision making S Javdani, Y Chen, A Karbasi, A Krause, D Bagnell, S Srinivasa Artificial Intelligence and Statistics, 430-438, 2014 | 67 | 2014 |
| Submodular surrogates for value of information Y Chen, S Javdani, A Karbasi, J Bagnell, S Srinivasa, A Krause Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 63 | 2015 |
| An encoder-decoder based approach for anomaly detection with application in additive manufacturing Y Tan, B Jin, A Nettekoven, Y Chen, Y Yue, U Topcu, ... 2019 18th IEEE international conference on machine learning and applications …, 2019 | 62 | 2019 |
| Active detection via adaptive submodularity Y Chen, H Shioi, CF Montesinos, LP Koh, S Wich, A Krause International Conference on Machine Learning, 55-63, 2014 | 62 | 2014 |
| Teaching multiple concepts to a forgetful learner A Hunziker, Y Chen, O Mac Aodha, M Gomez Rodriguez, A Krause, ... Advances in neural information processing systems 32, 2019 | 53* | 2019 |
| Understanding the role of adaptivity in machine teaching: The case of version space learners Y Chen, A Singla, O Mac Aodha, P Perona, Y Yue Advances in Neural Information Processing Systems 31, 2018 | 51 | 2018 |
| ilike: Bridging the semantic gap in vertical image search by integrating text and visual features Y Chen, H Sampathkumar, B Luo, X Chen IEEE Transactions on Knowledge and Data Engineering 25 (10), 2257-2270, 2012 | 39 | 2012 |
| S2a: secure smart household appliances Y Chen, B Luo Proceedings of the second ACM conference on Data and Application Security …, 2012 | 39 | 2012 |
| Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models F Mansouri, Y Chen, A Vartanian, X Zhu, A Singla Conference on Neural Information Processing Systems (NeurIPS), 2019 | 38 | 2019 |
| A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection B Jin, Y Chen, D Li, K Poolla, A Sangiovanni-Vincentelli 18th IEEE International Conference on Machine Learning and Applications …, 2019 | 38 | 2019 |
| Near-Optimal Machine Teaching via Explanatory Teaching Sets Y Chen, O Mac Aodha, S Su, P Perona, Y Yue International Conference on Artificial Intelligence and Statistics (AISTATS), 2018 | 34 | 2018 |
| Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints C Wang, Y Jiang, C Yang, H Liu, Y Chen International Conference on Learning Representations, 2024 | 29 | 2024 |
| Near-optimal Bayesian Active Learning with Correlated and Noisy Tests Y Chen, SH Hassani, A Krause Electronic Journal of Statistics 11 (2), 4969-5017, 2017 | 27 | 2017 |
| Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design KK Yang, Y Chen, A Lee, Y Yue International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 | 23 | 2019 |
| Learning shape analysis M Brockschmidt, Y Chen, P Kohli, S Krishna, D Tarlow Static Analysis: 24th International Symposium, SAS 2017, New York, NY, USA …, 2017 | 23 | 2017 |
Yisong YueCalifornia Institute of Technology; Asari AI; Latitude AI在 caltech.edu 的电子邮件经过验证
