James McQueen

Orcid: 0009-0008-6636-8488

According to our database1, James McQueen authored at least 11 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Estimating the Value of Evidence-Based Decision Making.
CoRR, 2023

Leveraging covariate adjustments at scale in online A/B testing.
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
A Bayesian Model for Online Activity Sample Sizes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Multiple Randomization Designs.
CoRR, 2021

Bayesian Sample Size Prediction for Online Activity.
CoRR, 2021

2017
Improved Graph Laplacian via Geometric Self-Consistency.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Megaman: Scalable Manifold Learning in Python.
J. Mach. Learn. Res., 2016

megaman: Manifold Learning with Millions of points.
CoRR, 2016

Nearly Isometric Embedding by Relaxation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016


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