James McQueen

14 papers A* 2A 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Know When to Fold: Futility-Aware Early Termination in Online Experiments.
WWW (Companion Volume)
Yu Liu, Runzhe Wan, Yian Huang, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
2024 A* conf
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches.
AAAI
Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
2023 J jnl
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches.
CoRR
Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
2023 J jnl
Estimating the Value of Evidence-Based Decision Making.
CoRR
Alberto Abadie, Anish Agarwal, Guido Imbens, Siwei Jia, James McQueen, Serguei Stepaniants
2023 A* conf
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring.
KDD
Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song
2023 J jnl
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring.
CoRR
Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song
2023 — conf
Leveraging covariate adjustments at scale in online A/B testing.
CDPD
Lorenzo Masoero, Doug Hains, James McQueen
2022 A conf
A Bayesian Model for Online Activity Sample Sizes.
AISTATS
Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains
2021 J jnl
Bayesian Sample Size Prediction for Online Activity.
CoRR
Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains
2021 J jnl
Multiple Randomization Designs.
CoRR
Patrick Bajari, Brian Burdick, Guido W. Imbens, Lorenzo Masoero, James McQueen, Thomas S. Richardson, Ido M. Rosen
2017 — conf
Improved Graph Laplacian via Geometric Self-Consistency.
NIPS
Dominique Joncas, Marina Meila, James McQueen
2016 J jnl
Megaman: Scalable Manifold Learning in Python.
J. Mach. Learn. Res.
James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang
2016 — conf
Nearly Isometric Embedding by Relaxation.
NIPS
James McQueen, Marina Meila, Dominique Joncas
2016 J jnl
megaman: Manifold Learning with Millions of points.
CoRR
James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang