Yannis Montreuil

According to our database, Yannis Montreuil authored at least 11 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Online Learning-to-Defer with Varying Experts.

Dang Hoang Duy, Yannis Montreuil, Maxime Meyer, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, May, 2026

Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer.

Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, April, 2026

Learning-to-Defer with Expert-Conditioned Advice.

Yannis Montreuil, Leïna Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, March, 2026

Learning to Defer in Non-Stationary Time Series via Switching State-Space Models.

Yannis Montreuil, Letian Yu, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, January, 2026

Towards Robust Human-AI Decision-Making via Learning-to-Defer.

Yannis Montreuil

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Adversarial Robustness in One-Stage Learning-to-Defer.

Yannis Montreuil, Letian Yu, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, October, 2025

Why Ask One When You Can Ask <i>k</i>? Two-Stage Learning-to-Defer to the Top-<i>k</i> Experts.

Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, April, 2025

A Two-Stage Learning-to-Defer Approach for Multi-Task Learning.

Yannis Montreuil, Yeo Shu Heng, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees.

Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Learning-to-Defer for Extractive Question Answering.

Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, 2024

Two-stage Learning-to-Defer for Multi-Task Learning.

Yannis Montreuil, Yeo Shu Heng, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

CoRR, 2024