Heuillet, Maxime

7 publications

ICLR 2026 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

UAI 2024 Neural Active Learning Meets the Partial Monitoring Framework Maxime Heuillet, Ola Ahmad, Audrey Durand

ICML 2024 Randomized Confidence Bounds for Stochastic Partial Monitoring Maxime Heuillet, Ola Ahmad, Audrey Durand

ICMLW 2024 Randomized Confidence Bounds for Stochastic Partial Monitoring Maxime Heuillet, Ola Ahmad, Audrey Durand

AAAI 2022 A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning Mathieu Godbout, Maxime Heuillet, Sharath Chandra Raparthy, Rupali Bhati, Audrey Durand

NeurIPSW 2022 Tracking the Risk of Machine Learning Systems with Partial Monitoring Maxime Heuillet, Audrey Durand

ICMLW 2021 Sequential Automated Machine Learning: Bandits-Driven Exploration Using a Collaborative Filtering Representation Maxime Heuillet, Benoit Debaque, Audrey Durand