Sparse conformal predictors. - Mohamed Hebiri (Stat. Comput., 2010)

Learning Heteroscedastic Models by Convex Programming under Group Sparsity. - Arnak S. Dalalyan; Mohamed Hebiri; Katia Meziani; Joseph Salmon (ICML (3), 2013)

How Correlations Influence Lasso Prediction. - Mohamed Hebiri; Johannes Lederer (IEEE Trans. Inf. Theory, 2013)

Confidence Sets for Classification. - Christophe Denis; Mohamed Hebiri (SLDS, 2015)

On the benefits of output sparsity for multi-label classification. - Evgenii Chzhen; Christophe Denis; Mohamed Hebiri; Joseph Salmon (CoRR, 2017)

Confidence Sets with Expected Sizes for Multiclass Classification. - Christophe Denis; Mohamed Hebiri (J. Mach. Learn. Res., 2017)

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification. - Evgenii Chzhen; Christophe Denis; Mohamed Hebiri; Luca Oneto; Massimiliano Pontil (NeurIPS, 2019)

Fair regression with Wasserstein barycenters. - Evgenii Chzhen; Christophe Denis; Mohamed Hebiri; Luca Oneto; Massimiliano Pontil (NeurIPS, 2020)

Fair regression via plug-in estimator and recalibration with statistical guarantees. - Evgenii Chzhen; Christophe Denis; Mohamed Hebiri; Luca Oneto; Massimiliano Pontil (NeurIPS, 2020)

Regression with reject option and application to kNN. - Ahmed Zaoui; Christophe Denis; Mohamed Hebiri (NeurIPS, 2020)

Layer Sparsity in Neural Networks. - Mohamed Hebiri; Johannes Lederer (CoRR, 2020)

Set-valued classification - overview via a unified framework. - Evgenii Chzhen; Christophe Denis; Mohamed Hebiri; Titouan Lorieul (CoRR, 2021)

Regression under demographic parity constraints via unlabeled post-processing. - Gayane Taturyan; Evgenii Chzhen; Mohamed Hebiri (NeurIPS, 2024)

Fairness guarantees in multi-class classification with demographic parity. - Christophe Denis; Romuald Elie; Mohamed Hebiri; François Hu (J. Mach. Learn. Res., 2024)

Active learning algorithm through the lens of rejection arguments. - Christophe Denis; Mohamed Hebiri; Boris Ndjia Njike; Xavier Siebert (Mach. Learn., 2024)

EERO: Early Exit with Reject Option for Efficient Classification with limited budget. - Florian Valade; Mohamed Hebiri; Paul Gay (UAI, 2025)

Class conditional conformal prediction for multiple inputs by p-value aggregation. - Jean-Baptiste Fermanian; Mohamed Hebiri; Joseph Salmon (CoRR, 2025)