| 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 | 129 | 2013 |
| Online linear optimization via smoothing J Abernethy, C Lee, A Sinha, A Tewari Conference on Learning Theory, 807-823, 2014 | 67 | 2014 |
| Fighting bandits with a new kind of smoothness JD Abernethy, C Lee, A Tewari Advances in Neural Information Processing Systems 28, 2015 | 63 | 2015 |
| Gradientless Descent: High-Dimensional Zeroth-Order Optimization C Lee, D Golovin, G Kochanski, JE Karro, R Song, R Zhang | 58* | 2020 |
| Perturbation techniques in online learning and optimization J Abernethy, C Lee, A Tewari Perturbations, Optimization, and Statistics 233, 2016 | 38* | 2016 |
| Online learning via differential privacy JD Abernethy, C Lee, A McMillan, A Tewari arXiv preprint arXiv:1711.10019, 2017 | 27* | 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 | 23 | 2014 |
| Hardness of online sleeping combinatorial optimization problems S Kale, C Lee, D Pál Advances in Neural Information Processing Systems 29, 2016 | 19 | 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 | 16 | 2018 |
| 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 | 13 | 2022 |
| 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 |
| 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 | 11 | 2022 |
| Pre-trained Gaussian processes for Bayesian optimization Z Wang, GE Dahl, K Swersky, C Lee, Z Mariet, Z Nado, J Gilmer, J Snoek, ... arXiv preprint arXiv:2109.08215, 2021 | 10 | 2021 |
| 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:2207.03084, 2022 | 4 | 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, ZE Mariet, Z Nado, J Gilmer, ... | 3 | 2021 |
Jacob AbernethyAssistant Professor, University of MichiganVerified email at umich.edu
