| 2025 | WACV | A Two-Head Loss Function for Deep Average-K Classification. | Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon |
| 2023 | AISTATS | High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. | Paul Mangold, Aurlien Bellet, Joseph Salmon, Marc Tommasi |
| 2022 | AISTATS | Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. | Alain Rakotomamonjy, Rmi Flamary, Joseph Salmon, Gilles Gasso |
| 2022 | ICML | Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification. | Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon |
| 2022 | ICML | Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. | Paul Mangold, Aurlien Bellet, Joseph Salmon, Marc Tommasi |
| 2021 | ICASSP | Score-Based Change Detection For Gradient-Based Learning Machines. | Lang Liu, Joseph Salmon, Zad Harchaoui |
| 2020 | AISTATS | Support recovery and sup-norm convergence rates for sparse pivotal estimation. | Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon |
| 2020 | ICML | Implicit differentiation of Lasso-type models for hyperparameter optimization. | Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon |
| 2019 | ICML | Optimal Mini-Batch and Step Sizes for SAGA. | Nidham Gazagnadou, Robert M. Gower, Joseph Salmon |
| 2019 | ICML | Safe Grid Search with Optimal Complexity. | Eugne Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi |
| 2019 | ICML | Screening rules for Lasso with non-convex Sparse Regularizers. | Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon |
| 2018 | AISTATS | Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression. | Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon |
| 2018 | ICML | Celer: a Fast Solver for the Lasso with Dual Extrapolation. | Mathurin Massias, Joseph Salmon, Alexandre Gramfort |
| 2018 | MICCAI | Statistical Inference with Ensemble of Clustered Desparsified Lasso. | Jrme-Alexis Chevalier, Joseph Salmon, Bertrand Thirion |
| 2016 | ICML | Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions. | Igor Colin, Aurlien Bellet, Joseph Salmon, Stphan Clmenon |
| 2015 | ICML | Mind the duality gap: safer rules for the Lasso. | Olivier Fercoq, Alexandre Gramfort, Joseph Salmon |
| 2013 | ICML | Learning Heteroscedastic Models by Convex Programming under Group Sparsity. | Arnak S. Dalalyan, Mohamed Hebiri, Katia Meziani, Joseph Salmon |
| 2012 | ICASSP | Poisson noise reduction with non-local PCA. | Joseph Salmon, Charles-Alban Deledalle, Rebecca Willett, Zachary T. Harmany |
| 2011 | ALT | Competing against the Best Nearest Neighbor Filter in Regression. | Arnak S. Dalalyan, Joseph Salmon |
| 2011 | BMVC | Image denoising with patch based PCA: local versus global. | Charles-Alban Deledalle, Joseph Salmon, Arnak S. Dalalyan |
| 2010 | ICIP | From patches to pixels in Non-Local methods: Weighted-average reprojection. | Joseph Salmon, Yann Strozecki |
| 2009 | ICIP | NL-Means and aggregation procedures. | Joseph Salmon, Erwan Le Pennec |