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Michael Lindon
Michael Lindon
Verified email at netflix.com
Title
Cited by
Cited by
Year
Adaptive variable selection for sequential prediction in multivariate dynamic models
I Lavine, M Lindon, M West
Bayesian Analysis 16 (4), 1059-1083, 2021
212021
Anytime-valid inference for multinomial count data
M Lindon, A Malek
Advances in Neural Information Processing Systems 35, 2817-2831, 2022
18*2022
Rapid regression detection in software deployments through sequential testing
M Lindon, C Sanden, V Shirikian
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
92022
Design-based confidence sequences for anytime-valid causal inference
DW Ham, I Bojinov, M Lindon, M Tingley
arXiv preprint arXiv:2210.08639 11, 2022
72022
Near-optimal non-parametric sequential tests and confidence sequences with possibly dependent observations
A Bibaut, N Kallus, M Lindon
arXiv preprint arXiv:2212.14411, 2022
62022
Anytime-Valid Inference in Linear Models and Regression-Adjusted Inference
M Lindon, DW Ham, M Tingley, I Bojinov
2024
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
D Woong Ham, M Lindon, M Tingley, I Bojinov
Harvard Business School Technology & Operations Mgt. Unit Working Paper, 2023
2023
A/B testing using sequential hypothesis
M Lindon
US Patent 11,593,667, 2023
2023
Design-Based Inference for Multi-arm Bandits
DW Ham, I Bojinov, M Lindon, M Tingley
arXiv preprint arXiv:2302.14136, 2023
2023
A/B testing sample ratio mismatch solver
M Lindon
US Patent 11,544,178, 2023
2023
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
DW Ham, I Bojinov, M Lindon, M Tingley
arXiv preprint arXiv:2210.08639, 2022
2022
Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
M Lindon, DW Ham, M Tingley, I Bojinov
arXiv preprint arXiv:2210.08589, 2022
2022
Continuous-Time Models of Arrival Times and Optimization Methods for Variable Selection
M Lindon
Duke University, 2018
2018
Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models–Supplementary Material–
I Lavine, M Lindon, M West
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