Chapman Siu

According to our database, Chapman Siu authored at least 12 papers between 2017 and 2023.

Collaborative distances:

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

2023

Online GentleAdaBoost - Technical Report.

Chapman Siu

CoRR, 2023

2021

Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures.

Chapman Siu, Jason Traish, Richard Yi Da Xu

CoRR, 2021

Dual Behavior Regularized Reinforcement Learning.

Chapman Siu, Jason M. Traish, Richard Yi Da Xu

CoRR, 2021

Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning.

Chapman Siu, Jason M. Traish, Richard Yi Da Xu

CoRR, 2021

Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning.

Chapman Siu, Jason Traish, Richard Yi Da Xu

Proceedings of the Asian Conference on Machine Learning, 2021

2019

TreeGrad: Transferring Tree Ensembles to Neural Networks.

Chapman Siu

CoRR, 2019

Transferring Tree Ensembles to Neural Networks.

Chapman Siu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Residual Networks Behave Like Boosting Algorithms.

Chapman Siu

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018

Category Encoders: a scikit-learn-contrib package of transformers for encoding categorical data.

William McGinnis, Chapman Siu, Andre S., Hanyu Huang

J. Open Source Softw., 2018

Automatic Induction of Neural Network Decision Tree Algorithms.

Chapman Siu

CoRR, 2018

Diverse Online Feature Selection.

Chapman Siu, Richard Yi Da Xu

CoRR, 2018

2017

Ramble: Parser Combinator for R.

Chapman Siu

J. Open Source Softw., 2017