Richard Khoury

Membre affilié

Professeur agrégé, Université Laval, Département d'informatique et de génie logiciel

Sujets de recherche

Analyse de données

Modèles génératifs

Traitement du langage naturel

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Publications

Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation

Julien Lafrance

Richard Khoury

Véronique Tremblay

Machine learning classifiers in dynamic environments face concept drift -- changes in the data-generating process that degrade performance. … (voir plus)Conventional evaluation via static test sets or noise perturbations fails to preserve causal dependencies in tabular data, often producing causally invalid assessments. Post-hoc tools like SHAP and LIME offer correlational insights that may not reflect the causal mechanisms driving model failure. We propose a framework that complements existing drift detection by leveraging Structural Causal Models as "Digital Twins" of data-generating processes, enabling precise causal interventions while preserving structural dependencies. Our technique, Causal Parametric Drift Simulation, stress-tests classifiers to identify vulnerabilities before deployment. Experiments on the Open Sourcing Mental Illness (OSMH) dataset demonstrate that this approach exposes latent vulnerabilities invisible to standard statistical monitors.

2026-05-09

arXiv (prépublication)

doi.org

arxiv.org

Neural Bandits for Data Mining: Searching for Dangerous Polypharmacy

Alexandre Larouche

Audrey Durand

Richard Khoury

Caroline Sirois

2022-12-09

ArXiv (prépublication)

doi.org