← Authors

Joseph Salmon

27 papers · 2011–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (14) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (5) πŸ”¬ Deep Specialist (16) πŸ‘₯ Mega-Team (21) πŸ† Keyword Champion (3) 🀝 Dynamic Duo (14) πŸ“ˆ Trend Setter πŸ’Ž Century Club (27) πŸ—ƒοΈ Keyword Collector (110) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8)

Conferences

ICML (10) NIPS (7) AISTATS (4) JMLR (3) AUTOML (1) COLT (1) WACV (1)

Top co-authors

Alexandre Gramfort (14) Mathurin Massias (7) Olivier Fercoq (6) Samuel Vaiter (4) AurΓ©lien Bellet (4) Eugene Ndiaye (4) Quentin Bertrand (4) Quentin Klopfenstein (3) Alain Rakotomamonjy (3) Camille Garcin (2)

Research topics

Differential Privacy (2)

Keywords

coordinate descent (8) screening rule (6) sparse regression (4) hyperparameter optimization (3) proximal gradient descent (3) multi-task learning (3) sparse optimization (3) sparse regularization (3) duality gap (3) lasso regression (3) convex optimization (3) generalized linear model (2) feature selection (2) proximal gradient (2) loss function (2) logistic regression (2) implicit differentiation (2) differential privacy (2) empirical risk minimization (2) non-convex optimization (2)

Papers

A Two-Head Loss Function for Deep Average-K Classification WACV 2025
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent AISTATS 2023
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers AISTATS 2022
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning JMLR 2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification ICML 2022
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization ICML 2022
Benchopt: Reproducible, efficient and collaborative optimization benchmarks NIPS 2022
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso AUTOML 2022
Dual Extrapolation for Sparse GLMs JMLR 2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso NIPS 2020
Support recovery and sup-norm convergence rates for sparse pivotal estimation AISTATS 2020
Implicit differentiation of Lasso-type models for hyperparameter optimization ICML 2020
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso NIPS 2019
Optimal Mini-Batch and Step Sizes for SAGA ICML 2019
Safe Grid Search with Optimal Complexity ICML 2019
Screening rules for Lasso with non-convex Sparse Regularizers ICML 2019
Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression AISTATS 2018
Celer: a Fast Solver for the Lasso with Dual Extrapolation ICML 2018
Gap Safe Screening Rules for Sparsity Enforcing Penalties JMLR 2017
GAP Safe Screening Rules for Sparse-Group Lasso NIPS 2016
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions ICML 2016
Extending Gossip Algorithms to Distributed Estimation of U-statistics NIPS 2015
GAP Safe screening rules for sparse multi-task and multi-class models NIPS 2015
Mind the duality gap: safer rules for the Lasso ICML 2015
Probabilistic low-rank matrix completion on finite alphabets NIPS 2014
Learning Heteroscedastic Models by Convex Programming under Group Sparsity ICML 2013
Optimal aggregation of affine estimators COLT 2011