Mohamed Hebiri

23 papers A* 5A 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fair regression under localized demographic parity constraints.
CoRR
Arthur Charpentier, Christophe Denis, Romuald Elie, Mohamed Hebiri, François Hu
2025 J jnl
Class conditional conformal prediction for multiple inputs by p-value aggregation.
CoRR
Jean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon
2025 A conf
EERO: Early Exit with Reject Option for Efficient Classification with limited budget.
UAI
Florian Valade, Mohamed Hebiri, Paul Gay
2025 J jnl
Set to Be Fair: Demographic Parity Constraints for Set-Valued Classification.
CoRR
Eyal Cohen, Christophe Denis, Mohamed Hebiri
2024 J jnl
Active learning algorithm through the lens of rejection arguments.
Mach. Learn.
Christophe Denis, Mohamed Hebiri, Boris Ndjia Njike, Xavier Siebert
2024 J jnl
EERO: Early Exit with Reject Option for Efficient Classification with limited budget.
CoRR
Florian Valade, Mohamed Hebiri, Paul Gay
2024 J jnl
Fairness guarantees in multi-class classification with demographic parity.
J. Mach. Learn. Res.
Christophe Denis, Romuald Elie, Mohamed Hebiri, François Hu
2024 A* conf
Regression under demographic parity constraints via unlabeled post-processing.
NeurIPS
Gayane Taturyan, Evgenii Chzhen, Mohamed Hebiri
2024 J jnl
Regression under demographic parity constraints via unlabeled post-processing.
CoRR
Evgenii Chzhen, Mohamed Hebiri, Gayane Taturyan
2021 J jnl
Set-valued classification - overview via a unified framework.
CoRR
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Titouan Lorieul
2020 J jnl
Fair Regression with Wasserstein Barycenters.
CoRR
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
2020 A* conf
Fair regression via plug-in estimator and recalibration with statistical guarantees.
NeurIPS
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
2020 A* conf
Fair regression with Wasserstein barycenters.
NeurIPS
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
2020 J jnl
Layer Sparsity in Neural Networks.
CoRR
Mohamed Hebiri, Johannes Lederer
2020 A* conf
Regression with reject option and application to kNN.
NeurIPS
Ahmed Zaoui, Christophe Denis, Mohamed Hebiri
2020 J jnl
Regression with reject option and application to kNN.
CoRR
Christophe Denis, Mohamed Hebiri, Ahmed Zaoui
2019 A* conf
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification.
NeurIPS
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
2017 J jnl
Confidence Sets with Expected Sizes for Multiclass Classification.
J. Mach. Learn. Res.
Christophe Denis, Mohamed Hebiri
2017 J jnl
On the benefits of output sparsity for multi-label classification.
CoRR
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Joseph Salmon
2015 — conf
Confidence Sets for Classification.
SLDS
Christophe Denis, Mohamed Hebiri
2013 J jnl
How Correlations Influence Lasso Prediction.
IEEE Trans. Inf. Theory
Mohamed Hebiri, Johannes Lederer
2013 — conf
Learning Heteroscedastic Models by Convex Programming under Group Sparsity.
ICML (3)
Arnak S. Dalalyan, Mohamed Hebiri, Katia Meziani, Joseph Salmon
2010 J jnl
Sparse conformal predictors.
Stat. Comput.
Mohamed Hebiri