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ORCIDMatthew Regehr
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- affiliation: University of Waterloo, Cheriton School of Computer Science, Waterloo, ON, Canada
- affiliation (former): University of Alberta, Department of Computing Science, Edmonton, AB, Canada
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2020 – today
- 2025
[c2]Christian Janos Lebeda, Matthew Regehr, Gautam Kamath, Thomas Steinke:
Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms Under Composition. SaTML 2025: 996-1006- [i4]Gautam Kamath, Alireza F. Pour, Matthew Regehr, David P. Woodruff:
Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph. CoRR abs/2509.16180 (2025) - 2024
- [i3]Christian Janos Lebeda, Matthew Regehr, Gautam Kamath, Thomas Steinke:
Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition. CoRR abs/2405.20769 (2024) - 2023
- [i2]Gautam Kamath
, Argyris Mouzakis, Matthew Regehr, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman:
A Bias-Variance-Privacy Trilemma for Statistical Estimation. CoRR abs/2301.13334 (2023) - 2021
- [i1]Matthew T. Regehr, Alex Ayoub:
An Elementary Proof that Q-learning Converges Almost Surely. CoRR abs/2108.02827 (2021) - 2020
- [c1]Matthew Regehr, Andrew Volk, Michelle Noga, Kumaradevan Punithakumar:
Machine Learning and Graph Based Approach to Automatic Right Atrial Segmentation from Magnetic Resonance Imaging. ISBI 2020: 826-829
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