| 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 | 112 | 2013 |
| Online linear optimization via smoothing J Abernethy, C Lee, A Sinha, A Tewari Conference on Learning Theory, 807-823, 2014 | 57 | 2014 |
| Fighting bandits with a new kind of smoothness JD Abernethy, C Lee, A Tewari Advances in Neural Information Processing Systems 28, 2015 | 45 | 2015 |
| Gradientless Descent: High-Dimensional Zeroth-Order Optimization C Lee, D Golovin, G Kochanski, JE Karro, R Song, R Zhang | 39* | 2020 |
| Perturbation techniques in online learning and optimization J Abernethy, C Lee, A Tewari Perturbations, Optimization, and Statistics 233, 2016 | 23* | 2016 |
| Online learning via differential privacy JD Abernethy, C Lee, A McMillan, A Tewari | 21* | 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 | 21 | 2014 |
| 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 | 16 | 2018 |
| Hardness of online sleeping combinatorial optimization problems S Kale, C Lee, D Pál Advances in Neural Information Processing Systems 29, 2016 | 15 | 2016 |
| 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 | 10 | 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 |
| Pre-training helps Bayesian optimization too Z Wang, GE Dahl, K Swersky, C Lee, Z Mariet, Z Nado, J Gilmer, J Snoek, ... arXiv preprint arXiv:2109.08215, 2022 | 1 | 2022 |
| Towards Learning Universal Hyperparameter Optimizers with Transformers Y Chen, X Song, C Lee, Z Wang, Q Zhang, D Dohan, K Kawakami, ... arXiv preprint arXiv:2205.13320, 2022 | | 2022 |
| Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization X Song, S Perel, C Lee, G Kochanski, D Golovin First Conference on Automated Machine Learning (Main Track), 2022 | | 2022 |
| Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers Z Wang, GE Dahl, K Swersky, C Lee, Z Mariet, Z Nado, J Gilmer, J Snoek, ... arXiv preprint arXiv:2109.08215, 2021 | | 2021 |
Jacob AbernethyAssistant Professor, University of MichiganVerified email at umich.edu
