| 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 | 131 | 2013 |
| Fighting bandits with a new kind of smoothness JD Abernethy, C Lee, A Tewari Advances in Neural Information Processing Systems 28, 2015 | 85 | 2015 |
| Online linear optimization via smoothing J Abernethy, C Lee, A Sinha, A Tewari Conference on learning theory, 807-823, 2014 | 83 | 2014 |
| Gradientless Descent: High-Dimensional Zeroth-Order Optimization C Lee, D Golovin, G Kochanski, JE Karro, R Song, R Zhang | 69* | 2020 |
| 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 | 57 | 2022 |
| Perturbation techniques in online learning and optimization J Abernethy, C Lee, A Tewari Perturbations, Optimization, and Statistics 233, 17, 2016 | 55 | 2016 |
| 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 | 42* | 2024 |
| 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 | 32 | 2022 |
| Online learning via differential privacy J Abernethy, C Lee, A McMillan, A Tewari arXiv preprint arXiv:1711.10019, 2017 | 30* | 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, 549-566, 2014 | 24 | 2014 |
| Hardness of online sleeping combinatorial optimization problems S Kale, C Lee, D Pál Advances in Neural Information Processing Systems 29, 2016 | 22 | 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 | 18 | 2018 |
| 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 | 13 | 2014 |
| 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 | 6 | 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 |
| 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 | 5 | 2024 |
| Task Selection for AutoML System Evaluation J Lorraine, N Anderson, C Lee, Q De Laroussilhe, M Hassen arXiv preprint arXiv:2208.12754, 2022 | 4 | 2022 |
| 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 | 1 | 2024 |
| Platform for Automatic Production of Machine Learning Models and Deployment Pipelines A Skerry-Ryan, QL de Laroussilhe, RR Yang, CM Riggi, C Lee, ... US Patent App. 18/012,387, 2024 | 1 | 2024 |
| Position: Leverage Foundational Models for Black-Box Optimization X Song, Y Tian, RT Lange, C Lee, Y Tang, Y Chen Forty-first International Conference on Machine Learning, 0 | 1 | |
Jacob AbernethyAssistant Professor, University of MichiganVerified email at umich.edu
