Scholar
Yannis Montreuil
Google Scholar ID: kTtrw0UAAAAJ
PhD Candidate
Citations & Impact
Citations
9
H-index
2
i10-index
0
Publications
5
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Publications: Several research papers on Learning-to-Defer, with two accepted to ICML 2025. Awards: NUS School of Computing Research Incentive Award (2023), Outstanding Academic Achievement Award from Arts et Métiers (2021). Reviewer for AISTATS 2026 and ICLR 2026.
Research Experience
- Research experience includes multiple projects related to Learning-to-Defer and presentations at various international conferences.
Education
- PhD Candidate at the School of Computing, National University of Singapore, under the guidance of Prof. Wei Tsang Ooi, Dr. Lai Xing Ng, and Prof. Axel Carlier. Supported by AI Singapore and A*STAR as part of the DesCartes Program with CNRS@CREATE.
Background
- Research Interests: Machine Learning Theory, Statistical Learning Theory, Routing Problems. Specialization: Mathematical foundations of routing and decision-making problems under uncertainty, with a focus on the Learning-to-Defer framework.
Miscellany
- Teaching: CS5242 Neural Networks and Deep Learning, CP2107 Independent Introduction to CS Research. Students: AY24/25: Yeo Shu Heng, Dang Hoang Duy, Letian Yu; AY23/24: Seah Min-Rei, Yeo Shu Heng, Dang Hoang Duy.
