Yu Liu

According to our database, Yu Liu authored at least 7 papers between 2018 and 2025.

Collaborative distances:

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

2025

Know When to Fold: Futility-Aware Early Termination in Online Experiments.

Yu Liu, Runzhe Wan, Yian Huang, James McQueen, Doug Hains, Jinxiang Gu, Rui Song

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches.

Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring.

Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song

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

2022

A Bayesian Model for Online Activity Sample Sizes.

Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Bayesian Sample Size Prediction for Online Activity.

Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains

CoRR, 2021

2020

Smoothed Nonparametric Derivative Estimation using Weighted Difference Quotients.

Yu Liu, Kris De Brabanter

J. Mach. Learn. Res., 2020

2018

Derivative Estimation in Random Design.

Yu Liu, Kris De Brabanter

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018