Scholar
Pascale Gourdeau
Google Scholar ID: 6bclABQAAAAJ
Postdoctoral Research Fellow, Vector Institute
Citations & Impact
Citations
104
H-index
6
i10-index
2
Publications
10
Co-authors
8
list available
Contact
Publications
Resume (English only)
Academic Achievements
- DPhil thesis: 'Sample Complexity of Robust Learning against Evasion Attacks', Oxford University Research Archive, 2023.
- MSc thesis: 'Bisimulation Pseudometrics for Weighted Finite Automata', McGill University Libraries, 2017.
- Published 'On the hardness of robust classification' in Journal of Machine Learning Research, 2021.
- Published 'Bisimulation metrics and norms for real-weighted automata' in Information and Computation, 2020.
- Published 'On the Computability of Robust PAC Learning' at Conference on Learning Theory (COLT), 2024.
- Published 'When are local queries useful for robust learning?' at NeurIPS 2022.
- Published 'Sample complexity bounds for robustly learning decision lists against evasion attacks' at IJCAI 2022.
- Published 'On the hardness of robust classification' at NeurIPS 2019.
- Published 'Bisimulation metrics for weighted automata' at ICALP 2017.
- Published 'Feature selection and oversampling in analysis of clinical data for extubation readiness in extreme preterm infants' at EMBC 2015.
