Chansoo Lee

29 papers A* 5A 2Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
OmniPred: Language Models as Universal Regressors.
CoRR
Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen
2024 J jnl
OmniPred: Language Models as Universal Regressors.
Trans. Mach. Learn. Res.
Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen
2024 A* conf
Position: Leverage Foundational Models for Black-Box Optimization.
ICML
Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
2024 J jnl
Position: Leverage Foundational Models for Black-Box Optimization.
CoRR
Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
2024 J jnl
Pre-trained Gaussian Processes for Bayesian Optimization.
J. Mach. Learn. Res.
Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani
2024 J jnl
Predicting from Strings: Language Model Embeddings for Bayesian Optimization.
CoRR
Tung Nguyen, Qiuyi Zhang, Bangding Yang, Chansoo Lee, Jörg Bornschein, Yingjie Miao, Sagi Perel, Yutian Chen, Xingyou Song
2024 J jnl
The Vizier Gaussian Process Bandit Algorithm.
CoRR
Xingyou Song, Qiuyi Zhang, Chansoo Lee, Emily Fertig, Tzu-Kuo Huang, Lior Belenki, Greg Kochanski, Setareh Ariafar, Srinivas Vasudevan, Sagi Perel, Daniel Golovin
2023 A conf
Blackbox optimization of unimodal functions.
UAI
Ashok Cutkosky, Abhimanyu Das, Weihao Kong, Chansoo Lee, Rajat Sen
2022 — conf
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization.
AutoML
Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin
2022 J jnl
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization.
CoRR
Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin
2022 J jnl
Pre-training helps Bayesian optimization too.
CoRR
Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani
2022 J jnl
Task Selection for AutoML System Evaluation.
CoRR
Jonathan Lorraine, Nihesh Anderson, Chansoo Lee, Quentin de Laroussilhe, Mehadi Hassen
2022 A* conf
Towards Learning Universal Hyperparameter Optimizers with Transformers.
NeurIPS
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
2022 J jnl
Towards Learning Universal Hyperparameter Optimizers with Transformers.
CoRR
Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Qiuyi Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas
2021 J jnl
Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.
CoRR
Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani
2020 A* conf
Gradientless Descent: High-Dimensional Zeroth-Order Optimization.
ICLR
Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang
2019 J jnl
Gradientless Descent: High-Dimensional Zeroth-Order Optimization.
CoRR
Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang
2019 A* conf
Online Learning via the Differential Privacy Lens.
NeurIPS
Jacob D. Abernethy, Young Hun Jung, Chansoo Lee, Audra McMillan, Ambuj Tewari
2018 — —
Analysis of Perturbation Techniques in Online Learning.
Chansoo Lee
2018 A conf
Constrained-Based Differential Privacy for Mobility Services.
AAMAS
Ferdinando Fioretto, Chansoo Lee, Pascal Van Hentenryck
2017 J jnl
Online Learning via Differential Privacy.
CoRR
Jacob D. Abernethy, Chansoo Lee, Audra McMillan, Ambuj Tewari
2017 J jnl
Stern Sequences for a Family of Multidimensional Continued Fractions: TRIP-Stern Sequences.
J. Integer Seq.
Ilya Amburg, Krishna Dasaratha, Laure Flapan, Thomas Garrity, Chansoo Lee, Cornelia Mihaila, Nicholas Neumann-Chun, Sarah Peluse, Matthew Stoffregen
2016 — conf
Hardness of Online Sleeping Combinatorial Optimization Problems.
NIPS
Satyen Kale, Chansoo Lee, Dávid Pál
2015 — conf
Fighting Bandits with a New Kind of Smoothness.
NIPS
Jacob D. Abernethy, Chansoo Lee, Ambuj Tewari
2015 J jnl
Fighting Bandits with a New Kind of Smoothness.
CoRR
Jacob D. Abernethy, Chansoo Lee, Ambuj Tewari
2015 J jnl
Hardness of Online Sleeping Combinatorial Optimization Problems.
CoRR
Satyen Kale, Chansoo Lee, Dávid Pál
2014 A* conf
Online Linear Optimization via Smoothing.
COLT
Jacob D. Abernethy, Chansoo Lee, Abhinav Sinha, Ambuj Tewari
2014 J jnl
Online Linear Optimization via Smoothing.
CoRR
Jacob D. Abernethy, Chansoo Lee, Abhinav Sinha, Ambuj Tewari
2013 — conf
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines.
ICML (2)
Kihyuk Sohn, Guanyu Zhou, Chansoo Lee, Honglak Lee