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

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

20 December 2023
Yu Liu
Runzhe Wan
James McQueen
Doug Hains
Jinxiang Gu
Rui Song
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Papers citing "Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches"

2 / 2 papers shown
Title
Experimentation Platforms Meet Reinforcement Learning: Bayesian
  Sequential Decision-Making for Continuous Monitoring
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring
Runzhe Wan
Yu Liu
James McQueen
Doug Hains
Rui Song
OffRL
45
6
0
02 Apr 2023
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Runzhe Wan
Linjuan Ge
Rui Song
49
28
0
13 Aug 2021
1