Lee, Chansoo

11 publications

TMLR 2024 OmniPred: Language Models as Universal Regressors Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen

ICML 2024 Position: Leverage Foundational Models for Black-Box Optimization Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen

JMLR 2024 Pre-Trained Gaussian Processes for Bayesian Optimization Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani

AutoML 2022 Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin

NeurIPS 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas

ICLR 2020 Gradientless Descent: High-Dimensional Zeroth-Order Optimization Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi Zhang

NeurIPS 2019 Online Learning via the Differential Privacy Lens Jacob D. Abernethy, Young Hun Jung, Chansoo Lee, Audra McMillan, Ambuj Tewari

NeurIPS 2016 Hardness of Online Sleeping Combinatorial Optimization Problems Satyen Kale, Chansoo Lee, David Pal

NeurIPS 2015 Fighting Bandits with a New Kind of Smoothness Jacob D. Abernethy, Chansoo Lee, Ambuj Tewari

COLT 2014 Online Linear Optimization via Smoothing Jacob D. Abernethy, Chansoo Lee, Abhinav Sinha, Ambuj Tewari

ICML 2013 Learning and Selecting Features Jointly with Point-Wise Gated Boltzmann Machines Kihyuk Sohn, Guanyu Zhou, Chansoo Lee, Honglak Lee