| Learning and selecting features jointly with point-wise gated Boltzmann machines K Sohn, G Zhou, C Lee, H Lee International conference on machine learning, 217-225, 2013 | 132 | 2013 |
| Pre-trained Gaussian processes for Bayesian optimization Z Wang, GE Dahl, K Swersky, C Lee, Z Nado, J Gilmer, J Snoek, ... Journal of Machine Learning Research 25 (212), 1-83, 2024 | 103* | 2024 |
| Online linear optimization via smoothing J Abernethy, C Lee, A Sinha, A Tewari Conference on learning theory, 807-823, 2014 | 101 | 2014 |
| Towards learning universal hyperparameter optimizers with transformers Y Chen, X Song, C Lee, Z Wang, R Zhang, D Dohan, K Kawakami, ... Advances in Neural Information Processing Systems 35, 32053-32068, 2022 | 98 | 2022 |
| Fighting bandits with a new kind of smoothness JD Abernethy, C Lee, A Tewari Advances in Neural Information Processing Systems 28, 2015 | 97 | 2015 |
| Gradientless Descent: High-Dimensional Zeroth-Order Optimization C Lee, D Golovin, G Kochanski, JE Karro, R Song, R Zhang | 93* | 2020 |
| Perturbation techniques in online learning and optimization J Abernethy, C Lee, A Tewari Perturbations, Optimization, and Statistics 233, 17, 2016 | 74 | 2016 |
| Open source vizier: Distributed infrastructure and api for reliable and flexible blackbox optimization X Song, S Perel, C Lee, G Kochanski, D Golovin International Conference on Automated Machine Learning, 8/1-17, 2022 | 44 | 2022 |
| Omnipred: Language models as universal regressors X Song, O Li, C Lee, B Yang, D Peng, S Perel, Y Chen arXiv preprint arXiv:2402.14547, 2024 | 37 | 2024 |
| Online learning via differential privacy J Abernethy, C Lee, A McMillan, A Tewari arXiv preprint arXiv:1711.10019, 2017 | 37* | 2017 |
| Cubic irrationals and periodicity via a family of multi-dimensional continued fraction algorithms K Dasaratha, L Flapan, T Garrity, C Lee, C Mihaila, N Neumann-Chun, ... Monatshefte für Mathematik 174 (4), 549-566, 2014 | 24 | 2014 |
| Position: Leverage foundational models for black-box optimization X Song, Y Tian, RT Lange, C Lee, Y Tang, Y Chen arXiv preprint arXiv:2405.03547, 2024 | 23 | 2024 |
| Hardness of online sleeping combinatorial optimization problems S Kale, C Lee, D Pál Advances in Neural Information Processing Systems 29, 2016 | 23 | 2016 |
| Constrained-based differential privacy for mobility services F Fioretto, C Lee, P Van Hentenryck Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 20 | 2018 |
| Position paper: Leveraging foundational models for black-box optimization: Benefits, challenges, and future directions X Song, Y Tian, RT Lange, C Lee, Y Tang, Y Chen arXiv preprint arXiv:2405.03547, 2024 | 14 | 2024 |
| The vizier gaussian process bandit algorithm X Song, Q Zhang, C Lee, E Fertig, TK Huang, L Belenki, G Kochanski, ... arXiv preprint arXiv:2408.11527, 2024 | 13 | 2024 |
| A generalized family of multidimensional continued fractions: TRIP Maps K Dasaratha, L Flapan, T Garrity, C Lee, C Mihaila, N Neumann-Chun, ... International Journal of Number Theory 10 (08), 2151-2186, 2014 | 12 | 2014 |
| Predicting from Strings: Language Model Embeddings for Bayesian Optimization T Nguyen, Q Zhang, B Yang, C Lee, J Bornschein, Y Miao, S Perel, ... arXiv preprint arXiv:2410.10190, 2024 | 8 | 2024 |
| Stern sequences for a family of multidimensional continued fractions: TRIP-Stern sequences I Amburg, K Dasaratha, L Flapan, T Garrity, C Lee, C Mihaila, ... arXiv preprint arXiv:1509.05239, 2015 | 6 | 2015 |
| Task selection for automl system evaluation J Lorraine, N Anderson, C Lee, Q De Laroussilhe, M Hassen arXiv preprint arXiv:2208.12754, 2022 | 5 | 2022 |
Xingyou (Richard) SongResearch Scientist, Google DeepMindVerified email at google.com
