Salmon, Joseph

30 publications

WACV 2025 A Two-Head Loss Function for Deep Average-K Classification Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon

NeurIPS 2025 Class Conditional Conformal Prediction for Multiple Inputs by P-Value Aggregation Jean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon

TMLR 2024 Identify Ambiguous Tasks Combining Crowdsourced Labels by Weighting Areas Under the Margin Tanguy Lefort, Benjamin Charlier, Alexis Joly, Joseph Salmon

AISTATS 2023 High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi

AISTATS 2022 Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso

NeurIPS 2022 Benchopt: Reproducible, Efficient and Collaborative Optimization Benchmarks Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupre la Tour, Ghislain Durif, Cassio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter

ICML 2022 Differentially Private Coordinate Descent for Composite Empirical Risk Minimization Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi

JMLR 2022 Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon

AutoML 2022 LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Šehić, Alexandre Gramfort, Joseph Salmon, Luigi Nardi

ICML 2022 Stochastic Smoothing of the Top-K Calibrated Hinge Loss for Deep Imbalanced Classification Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon

JMLR 2020 Dual Extrapolation for Sparse GLMs Mathurin Massias, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon

ICML 2020 Implicit Differentiation of Lasso-Type Models for Hyperparameter Optimization Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon

NeurIPS 2020 Statistical Control for Spatio-Temporal MEG/EEG Source Imaging with Desparsified Mutli-Task Lasso Jerome-Alexis Chevalier, Joseph Salmon, Alexandre Gramfort, Bertrand Thirion

AISTATS 2020 Support Recovery and Sup-Norm Convergence Rates for Sparse Pivotal Estimation Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon

NeurIPS 2019 Handling Correlated and Repeated Measurements with the Smoothed Multivariate Square-Root Lasso Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon

ICML 2019 Optimal Mini-Batch and Step Sizes for SAGA Nidham Gazagnadou, Robert Gower, Joseph Salmon

ICML 2019 Safe Grid Search with Optimal Complexity Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi

ICML 2019 Screening Rules for Lasso with Non-Convex Sparse Regularizers Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon

ICML 2018 Celer: A Fast Solver for the Lasso with Dual Extrapolation Mathurin Massias, Alexandre Gramfort, Joseph Salmon

AISTATS 2018 Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

JMLR 2017 Gap Safe Screening Rules for Sparsity Enforcing Penalties Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

NeurIPS 2016 GAP Safe Screening Rules for Sparse-Group Lasso Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

ICML 2016 Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions Igor Colin, Aurelien Bellet, Joseph Salmon, Stéphan Clémençon

NeurIPS 2015 Extending Gossip Algorithms to Distributed Estimation of U-Statistics Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon

NeurIPS 2015 GAP Safe Screening Rules for Sparse Multi-Task and Multi-Class Models Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

ICML 2015 Mind the Duality Gap: Safer Rules for the Lasso Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

NeurIPS 2014 Probabilistic Low-Rank Matrix Completion on Finite Alphabets Jean Lafond, Olga Klopp, Eric Moulines, Joseph Salmon

ICML 2013 Learning Heteroscedastic Models by Convex Programming Under Group Sparsity Arnak Dalalyan, Mohamed Hebiri, Katia Meziani, Joseph Salmon

ALT 2011 Competing Against the Best Nearest Neighbor Filter in Regression Arnak S. Dalalyan, Joseph Salmon

COLT 2011 Optimal Aggregation of Affine Estimators Joseph Salmon, Arnak Dalalyan