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 | 130 | 2013 |
Fighting bandits with a new kind of smoothness JD Abernethy, C Lee, A Tewari Advances in Neural Information Processing Systems 28, 2015 | 74 | 2015 |
Online linear optimization via smoothing J Abernethy, C Lee, A Sinha, A Tewari Conference on learning theory, 807-823, 2014 | 74 | 2014 |
Gradientless Descent: High-Dimensional Zeroth-Order Optimization C Lee, D Golovin, G Kochanski, JE Karro, R Song, R Zhang | 67* | 2020 |
Perturbation techniques in online learning and optimization J Abernethy, C Lee, A Tewari Perturbations, Optimization, and Statistics 233, 17, 2016 | 47 | 2016 |
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 | 35 | 2022 |
Pre-trained Gaussian processes for Bayesian optimization Z Wang, GE Dahl, K Swersky, C Lee, Z Nado, J Gilmer, J Snoek, ... arXiv preprint arXiv:2109.08215, 2021 | 29* | 2021 |
Online learning via differential privacy J Abernethy, C Lee, A McMillan, A Tewari arXiv preprint arXiv:1711.10019, 2017 | 28* | 2017 |
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 | 24 | 2022 |
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 | 23 | 2014 |
Hardness of online sleeping combinatorial optimization problems S Kale, C Lee, D Pál Advances in Neural Information Processing Systems 29, 2016 | 21 | 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 | 12 | 2014 |
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 | 5 | 2015 |
OmniPred: Language Models as Universal Regressors X Song, O Li, C Lee, D Peng, S Perel, Y Chen arXiv preprint arXiv:2402.14547, 2024 | 2 | 2024 |
Task selection for automl system evaluation J Lorraine, N Anderson, C Lee, Q De Laroussilhe, M Hassen arXiv preprint arXiv:2208.12754, 2022 | 2 | 2022 |
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 | | 2024 |
Determining hyperparameters using sequence generation neural networks Y Chen, X Song, C Lee, Z Wang, Q Zhang, DM Dohan, S Perel, ... US Patent App. 18/199,886, 2023 | | 2023 |
Blackbox optimization of unimodal functions A Cutkosky, A Das, W Kong, C Lee, R Sen Uncertainty in Artificial Intelligence, 476-484, 2023 | | 2023 |