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2020 – today
- 2024
[c6]Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song:
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. AAAI 2024: 14044-14051- 2023
- [c5]Runzhe Wan
, Yu Liu, James McQueen, Doug Hains, Rui Song:
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. KDD 2023: 5016-5027 - [c4]Lorenzo Masoero, Doug Hains, James McQueen:
Leveraging covariate adjustments at scale in online A/B testing. CDPD 2023: 25-48 - [i6]Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song:
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. CoRR abs/2304.00420 (2023) - [i5]Alberto Abadie, Anish Agarwal, Guido Imbens, Siwei Jia, James McQueen, Serguei Stepaniants:
Estimating the Value of Evidence-Based Decision Making. CoRR abs/2306.13681 (2023) - [i4]Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song:
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. CoRR abs/2312.12871 (2023) - 2022
- [c3]Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains:
A Bayesian Model for Online Activity Sample Sizes. AISTATS 2022: 1775-1785 - 2021
- [i3]Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains:
Bayesian Sample Size Prediction for Online Activity. CoRR abs/2111.12157 (2021) - [i2]Patrick Bajari, Brian Burdick, Guido W. Imbens, Lorenzo Masoero, James McQueen, Thomas S. Richardson, Ido M. Rosen:
Multiple Randomization Designs. CoRR abs/2112.13495 (2021)
2010 – 2019
- 2017
- [c2]Dominique Joncas, Marina Meila, James McQueen:
Improved Graph Laplacian via Geometric Self-Consistency. NIPS 2017: 4457-4466 - 2016
- [j1]James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang:
Megaman: Scalable Manifold Learning in Python. J. Mach. Learn. Res. 17: 148:1-148:5 (2016) - [c1]James McQueen, Marina Meila, Dominique Joncas:
Nearly Isometric Embedding by Relaxation. NIPS 2016: 2631-2639 - [i1]James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang:
megaman: Manifold Learning with Millions of points. CoRR abs/1603.02763 (2016)
Coauthor Index
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last updated on 2024-09-13 00:43 CEST by the dblp team
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