Guillaume Metzler

20 papers A* 1A 1B 3Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers.
CoRR
Julien Bastian, Benjamin Leblanc, Pascal Germain, Amaury Habrard, Christine Largeron, Guillaume Metzler, Emilie Morvant, Paul Viallard
2025 J jnl
Fair-GPTQ: Bias-Aware Quantization for Large Language Models.
CoRR
Irina Proskurina, Guillaume Metzler, Julien Velcin
2025 — conf
HISTOIRESMORALES: A French Dataset for Assessing Moral Alignment.
NAACL (Long Papers)
Thibaud Leteno, Irina Proskurina, Antoine Gourru, Julien Velcin, Charlotte Laclau, Guillaume Metzler, Christophe Gravier
2025 J jnl
Histoires Morales: A French Dataset for Assessing Moral Alignment.
CoRR
Thibaud Leteno, Irina Proskurina, Antoine Gourru, Julien Velcin, Charlotte Laclau, Guillaume Metzler, Christophe Gravier
2025 J jnl
PAC-Bayesian Bounds on Constrained f-Entropic Risk Measures.
CoRR
Hind Atbir, Farah Cherfaoui, Guillaume Metzler, Emilie Morvant, Paul Viallard
2025 — conf
SigBERT: Combining Narrative Medical Reports and Rough Path Signature Theory for Survival Prediction in Oncology.
ECML/PKDD (9)
Paul Minchella, Loïc Verlingue, Stéphane Chrétien, Rémi Vaucher, Guillaume Metzler
2025 J jnl
SigBERT: Combining Narrative Medical Reports and Rough Path Signature Theory for Survival Risk Estimation in Oncology.
CoRR
Paul Minchella, Loïc Verlingue, Stéphane Chrétien, Rémi Vaucher, Guillaume Metzler
2024 — conf
When Quantization Affects Confidence of Large Language Models?
NAACL-HLT (Findings)
Irina Proskurina, Luc Brun, Guillaume Metzler, Julien Velcin
2024 J jnl
When Quantization Affects Confidence of Large Language Models?
CoRR
Irina Proskurina, Luc Brun, Guillaume Metzler, Julien Velcin
2023 J jnl
Mini Minds: Exploring Bebeshka and Zlata Baby Models.
CoRR
Irina Proskurina, Guillaume Metzler, Julien Velcin
2023 B conf
The Other Side of Compression: Measuring Bias in Pruned Transformers.
IDA
Irina Proskurina, Guillaume Metzler, Julien Velcin
2021 J jnl
A Nearest Neighbor Algorithm for Imbalanced Classification.
Int. J. Artif. Intell. Tools
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
2020 — conf
Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting.
ECML/PKDD (3)
Léo Gautheron, Pascal Germain, Amaury Habrard, Guillaume Metzler, Emilie Morvant, Marc Sebban, Valentina Zantedeschi
2020 A* conf
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data.
IJCAI
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban
2019 B conf
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data.
ICTAI
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
2019 J jnl
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data.
CoRR
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
2019 — —
Apprentissage dans un contexte déséquilibré : une application à la détection de fraude. (Learning from Imbalanced Data: Application to Bank Fraud Detection).
Guillaume Metzler
2019 A conf
From Cost-Sensitive to Tight F-measure Bounds.
AISTATS
Kevin Bascol, Rémi Emonet, Élisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban
2018 J jnl
Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees.
Pattern Recognit. Lett.
Guillaume Metzler, Xavier Badiche, Brahim Belkasmi, Élisa Fromont, Amaury Habrard, Marc Sebban
2018 B conf
Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data.
IDA
Guillaume Metzler, Xavier Badiche, Brahim Belkasmi, Élisa Fromont, Amaury Habrard, Marc Sebban