Maxime Heuillet

PhD student, Université Laval

Joined

May 2021

Names

Maxime Heuillet (Preferred)

Emails

****@gmail.com (Confirmed)

,

****@ulaval.ca (Confirmed)

Personal Links

Career & Education History

PhD student

Université Laval (ift.ulaval.ca)

2021 – Present

Advisors, Relations & Conflicts

Coauthor

2021 – Present

Coauthor

2021 – Present

Expertise

trustworthy ML

Present

online learning

2021 – Present

bandits

2021 – Present

recommender systems

2020 – 2021

Publications

Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Epsilon-Scheduling
Jonas Ngnawe, Maxime Heuillet, Sabyasachi Sahoo, Yann Pequignot, Ola Ahmad, Audrey Durand, Frederic Precioso, Christian Gagné
- ICLR 2026 Poster
- Readers: Everyone
Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Epsilon-Scheduling
Jonas Ngnawe, Maxime Heuillet, Sabyasachi Sahoo, Yann Pequignot, Frederic Precioso, Christian Gagné
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts
Maxime Heuillet, Yufei Cui, Boxing Chen, Audrey Durand, Prasanna Parthasarathi
- NeurIPS 2025 ER Workshop
- Readers: Everyone
A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy
Maxime Heuillet, Rishika Bhagwatkar, Jonas Ngnawe, Yann Pequignot, Alexandre Larouche, Christian Gagné, Irina Rish, Ola Ahmad, Audrey Durand
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Multi-Agent Matrix Games with Individual learners: How Exploration-Exploitation Strategies Impact the Emergence of Coordination
Julien Armand, Tommy Chien-Hsuan Lin, Maxime Heuillet, Audrey Durand
- CoCoMARL 2025 Poster
- Readers: Everyone
Randomized Confidence Bounds for Stochastic Partial Monitoring
Maxime Heuillet, Ola Ahmad, Audrey Durand
- FoRLaC Poster
- Readers: Everyone
Neural Active Learning Meets the Partial Monitoring Framework
Maxime Heuillet, Ola Ahmad, Audrey Durand
- UAI 2024 poster
- Readers: Everyone
Randomized Confidence Bounds for Stochastic Partial Monitoring
Maxime Heuillet, Ola Ahmad, Audrey Durand
- ICML 2024 Poster
- Readers: Everyone
Tracking the Risk of Machine Learning Systems with Partial Monitoring
Maxime Heuillet, Audrey Durand
- Published: 05 Dec 2022, Last Modified: 05 May 2023
- MLSW2022
- Readers: Everyone
Sequential Automated Machine Learning: Bandits-driven Exploration using a Collaborative Filtering Representation
Maxime Heuillet, Benoit Debaque, Audrey Durand
- Published: 14 Jul 2021, Last Modified: 05 May 2023
- AutoML@ICML2021 Poster
- Readers: Everyone

Co-Authors