Huigang Chen

According to our database, Huigang Chen authored at least 6 papers between 2007 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

2007

Combined single-path routing and flow control in many-user region: a case for nash efficiency.

Huigang Chen, John S. Baras

Proceedings of the 46th IEEE Conference on Decision and Control, 2007