C. H. Bryan Liu

According to our database, C. H. Bryan Liu authored at least 12 papers between 2017 and 2024.

Collaborative distances:

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

2024

Some Statistical and Data Challenges When Building Early-Stage Digital Experimentation and Measurement Capabilities.

C. H. Bryan Liu

CoRR, 2024

2023

Measuring e-Commerce Metric Changes in Online Experiments.

C. H. Bryan Liu, Emma J. McCoy

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2021

Datasets for Online Controlled Experiments.

Chak Hin Bryan Liu, Ângelo Cardoso, Paul Couturier, Emma J. McCoy

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

What is the Value of Experimentation and Measurement?

C. H. Bryan Liu, Benjamin Paul Chamberlain, Emma J. McCoy

Data Sci. Eng., 2020

2019

What is the Value of Experimentation & Measurement?

C. H. Bryan Liu, Benjamin Paul Chamberlain

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Designing Experiments to Measure Incrementality on Facebook.

C. H. Bryan Liu, Elaine M. Bettaney, Benjamin Paul Chamberlain

CoRR, 2018

Online Controlled Experiments for Personalised e-Commerce Strategies: Design, Challenges, and Pitfalls.

C. H. Bryan Liu, Benjamin Paul Chamberlain

CoRR, 2018

A Recurrent Neural Network Survival Model: Predicting Web User Return Time.

Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Speeding Up BigClam Implementation on SNAP.

C. H. Bryan Liu, Benjamin Paul Chamberlain

Proceedings of the 2018 Imperial College Computing Student Workshop, 2018

2017

Customer Life Time Value Prediction Using Embeddings.

Benjamin Paul Chamberlain, Ângelo Cardoso, C. H. Bryan Liu, Roberto Pagliari, Marc Peter Deisenroth

CoRR, 2017

Generalising Random Forest Parameter Optimisation to Include Stability and Cost.

C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little, Ângelo Cardoso

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Customer Lifetime Value Prediction Using Embeddings.

Benjamin Paul Chamberlain, Ângelo Cardoso, C. H. Bryan Liu, Roberto Pagliari, Marc Peter Deisenroth

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