Chansoo Lee

According to our database, Chansoo Lee authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

OmniPred: Language Models as Universal Regressors.

Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen

CoRR, 2024

2023

Blackbox optimization of unimodal functions.

Ashok Cutkosky, Abhimanyu Das, Weihao Kong, Chansoo Lee, Rajat Sen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Task Selection for AutoML System Evaluation.

Jonathan Lorraine, Nihesh Anderson, Chansoo Lee, Quentin de Laroussilhe, Mehadi Hassen

CoRR, 2022

Pre-training helps Bayesian optimization too.

Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization.

Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.

Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani

CoRR, 2021

2020

Gradientless Descent: High-Dimensional Zeroth-Order Optimization.

Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Online Learning via the Differential Privacy Lens.

Jacob D. Abernethy, Young Hun Jung, Chansoo Lee, Audra McMillan, Ambuj Tewari

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Analysis of Perturbation Techniques in Online Learning.

Chansoo Lee

PhD thesis, 2018

Constrained-Based Differential Privacy for Mobility Services.

Ferdinando Fioretto, Chansoo Lee, Pascal Van Hentenryck

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Stern Sequences for a Family of Multidimensional Continued Fractions: TRIP-Stern Sequences.

Ilya Amburg, Krishna Dasaratha, Laure Flapan, Thomas Garrity, Chansoo Lee, Cornelia Mihaila, Nicholas Neumann-Chun, Sarah Peluse, Matthew Stoffregen

J. Integer Seq., 2017

Online Learning via Differential Privacy.

Jacob D. Abernethy, Chansoo Lee, Audra McMillan, Ambuj Tewari

CoRR, 2017

2016

Hardness of Online Sleeping Combinatorial Optimization Problems.

Satyen Kale, Chansoo Lee, Dávid Pál

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Fighting Bandits with a New Kind of Smoothness.

Jacob D. Abernethy, Chansoo Lee, Ambuj Tewari

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Online Linear Optimization via Smoothing.

Jacob D. Abernethy, Chansoo Lee, Abhinav Sinha, Ambuj Tewari

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines.

Kihyuk Sohn, Guanyu Zhou, Chansoo Lee, Honglak Lee

Proceedings of the 30th International Conference on Machine Learning, 2013