Yannis Montreuil
About Me
I am Yannis, a 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.
Research Interests
Learning-to-Defer, Learning from Abstention, Human-AI Collaboration, Learning Theory.
Scholarships
I am supported by AI Singapore and A*STAR, as part of my involvement in the DesCartes Program with CNRS@CREATE.
Publications
- Yannis Montreuil, Axel Carlier, Lai Xing Ng, & Wei Tsang Ooi (2025). One-Stage Top-k Learning-to-Defer: Score-Based Surrogates with Theoretical Guarantees. arXiv preprint arXiv:2505.10160.
- Yannis Montreuil, Axel Carlier, Lai Xing Ng, & Wei Tsang Ooi (2025). Why Ask One When You Can Ask k? Two-Stage Learning-to-Defer to the Top-k Experts. arXiv preprint arXiv:2504.12988.
- Yannis Montreuil, Axel Carlier, Lai Xing Ng, & Wei Tsang Ooi (2025). Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees. arXiv preprint arXiv:2502.01027. Accepted to ICML25
- Yannis Montreuil, Yeo Shu Heng, Axel Carlier, Lai Xing Ng, & Wei Tsang Ooi (2024). A Two-Stage Learning-to-Defer Approach for Multi-Task Learning. arXiv preprint arXiv:2410.15729. Accepted to ICML25
- Yannis Montreuil, Axel Carlier, Lai Xing Ng, & Wei Tsang Ooi (2024). Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees. arXiv preprint arXiv:2410.15761.
Talks
- Yannis Montreuil (Oct 2023): Human-AI in Decision Making, Ethics of Autonomy in Smart Cities, DesCartes Symposium.
- Yannis Montreuil (July 2023): Learning to Defer with Support Vector Machine, From Human-Human to Human-AI Collaboration, Association for the Advancement of Artificial Intelligence.
Teaching
- CS5242 Neural Networks and Deep Learning
- CP2107 Independent Introduction to CS Research
Students
- AY24/25: Yeo Shu Heng, Dang Hoang Duy
- AY23/24: Seah Min-Rei, Yeo Shu Heng, Dang Hoang Duy