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Chansoo Lee
Chansoo Lee
Geverifieerd e-mailadres voor google.com
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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
1122013
Online linear optimization via smoothing
J Abernethy, C Lee, A Sinha, A Tewari
Conference on Learning Theory, 807-823, 2014
572014
Fighting bandits with a new kind of smoothness
JD Abernethy, C Lee, A Tewari
Advances in Neural Information Processing Systems 28, 2015
452015
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
212014
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
162018
Hardness of online sleeping combinatorial optimization problems
S Kale, C Lee, D Pál
Advances in Neural Information Processing Systems 29, 2016
152016
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
102014
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
52015
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
12022
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
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Artikelen 1–15