Jeong-Yoon Lee

According to our database, Jeong-Yoon Lee authored at least 12 papers between 2009 and 2024.

Collaborative distances:

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

2024

2nd Workshop on Causal Inference and Machine Learning in Practice.

Jeong-Yoon Lee, Yifeng Wu, Totte Harinen, Jing Pan, Paul Lo, Zhenyu Zhao, Huigang Chen, Zeyu Zheng, Hasta Vanchinathan, Yingfei Wang, Roland Stevenson

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond.

Jeong-Yoon Lee, Yifeng Wu, Keith Battocchi, Fabio Vera, Zhenyu Zhao, Totte Harinen, Jing Pan, Huigang Chen, Zeyu Zheng, Chu Wang, Yingfei Wang, Xinwei Ma

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2021

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber.

Vasilis Syrgkanis, Greg Lewis, Miruna Oprescu, Maggie Hei, Keith Battocchi, Eleanor Dillon, Jing Pan, Yifeng Wu, Paul Lo, Huigang Chen, Totte Harinen, Jeong-Yoon Lee

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Adversarial Validation Approach to Concept Drift Problem in Automated Machine Learning Systems.

Jing Pan, Vincent Pham, Mohan Dorairaj, Huigang Chen, Jeong-Yoon Lee

CoRR, 2020

CausalML: Python Package for Causal Machine Learning.

Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Mike Yung, Zhenyu Zhao

CoRR, 2020

2017

Benchmarks and Process Management in Data Science: Will We Ever Get Over the Mess?

Usama M. Fayyad, Arno Candel, Eduardo Ariño de la Rubia, Szilárd Pafka, Anthony Chong, Jeong-Yoon Lee

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Learning event count models with application to affiliation ranking.

Tam T. Nguyen, Ebrahim Bagheri, Jeong-Yoon Lee, Hang Li, Mert Bay, Song Chen

Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, 2017

2016

Optimal Schedules in Multitask Motor Learning.

Jeong-Yoon Lee, Youngmin Oh, Sung Shin Kim, Robert A. Scheidt, Nicolas Schweighofer

Neural Comput., 2016

2013

Maximizing Transmission Opportunities in Wireless Multihop Networks.

Jeong-Yoon Lee, Chansu Yu, Kang G. Shin, Young-Joo Suh

IEEE Trans. Mob. Comput., 2013

An elastic compensation model for frame-based scheduling algorithms in wireless networks.

Joo-Young Baek, Jeong-Yoon Lee, Young-Joo Suh

Comput. Networks, 2013

2010

Multihop Transmission Opportunity in Wireless Multihop Networks.

Chansu Yu, Tianning Shen, Kang G. Shin, Jeong-Yoon Lee, Young-Joo Suh

Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

2009

A Wireless Network Coding Scheme with Forward Error Correction Code in Wireless Mesh Networks.

Jeong-Yoon Lee, Woo-Jae Kim, Joo-Young Baek, Young-Joo Suh

Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009