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Matthew Regehr
Matthew Regehr
University of Waterloo
Verifierad e-postadress på uwaterloo.ca - Startsida
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A bias-variance-privacy trilemma for statistical estimation
G Kamath, A Mouzakis, M Regehr, V Singhal, T Steinke, J Ullman
arXiv preprint arXiv:2301.13334, 2023
102023
An elementary proof that q-learning converges almost surely
MT Regehr, A Ayoub
arXiv preprint arXiv:2108.02827, 2021
82021
Machine learning and graph based approach to automatic right atrial segmentation from magnetic resonance imaging
M Regehr, A Volk, M Noga, K Punithakumar
2020 IEEE 17th international symposium on biomedical imaging (ISBI), 826-829, 2020
42020
Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition
CJ Lebeda, M Regehr, G Kamath
2023
A Bias-Variance-Privacy Trilemma for Statistical Estimation
M Regehr
University of Waterloo, 2023
2023
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Artiklar 1–5