Joseph Salmon
Identifiers
- name variant Joseph Salmon 0.60 · backfill
Papers (25)
- Energy-Efficient Plant Monitoring via Knowledge Distillation cs.CV · 2026 · author #6
- Refitting solutions promoted by $\ell_{12}$ sparse analysis regularization with block penalties math.OC · 2019 · author #3
- Integer programming on the junction tree polytope for influence diagrams math.OC · 2019 · author #5
- Safe Grid Search with Optimal Complexity stat.ML · 2018 · author #4
- Statistical Inference with Ensemble of Clustered Desparsified Lasso stat.AP · 2018 · author #2
- Celer: a Fast Solver for the Lasso with Dual Extrapolation stat.ML · 2018 · author #3
- A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging stat.AP · 2017 · author #3
- On Lasso refitting strategies math.ST · 2017 · author #3
- A sharp oracle inequality for Graph-Slope math.ST · 2017 · author #2
- Generalized Concomitant Multi-Task Lasso for sparse multimodal regression stat.ML · 2017 · author #4
- From safe screening rules to working sets for faster Lasso-type solvers stat.ML · 2017 · author #3
- On the benefits of output sparsity for multi-label classification math.ST · 2017 · author #4
- Gap Safe screening rules for sparsity enforcing penalties stat.ML · 2016 · author #4
- Adapting to unknown noise level in sparse deconvolution cs.IT · 2016 · author #3
- Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression stat.ML · 2016 · author #5
- Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions stat.ML · 2016 · author #3
- GAP Safe Screening Rules for Sparse-Group-Lasso stat.ML · 2016 · author #4
- Extending Gossip Algorithms to Distributed Estimation of U-Statistics stat.ML · 2015 · author #3
- GAP Safe screening rules for sparse multi-task and multi-class models stat.ML · 2015 · author #4
- Mind the duality gap: safer rules for the Lasso stat.ML · 2015 · author #3
- On debiasing restoration algorithms: applications to total-variation and nonlocal-means math.ST · 2015 · author #3
- Optimal Two-Step Prediction in Regression stat.ME · 2014 · author #3
- A two-stage denoising filter: the preprocessed Yaroslavsky filter cs.CV · 2012 · author #1
- Poisson noise reduction with non-local PCA cs.CV · 2012 · author #1
- Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods math.ST · 2011 · author #2
Mentions
- 2604.27178 #6 · arxiv_oai · confidence 0.70 Joseph Salmon
- 1606.02421 #3 · arxiv_oai · confidence 0.70 Joseph Salmon
- 1511.05464 #3 · arxiv_oai · confidence 0.70 Joseph Salmon
- 1506.03736 #4 · backfill · confidence 0.70 Joseph Salmon
- 1505.03410 #3 · backfill · confidence 0.70 Joseph Salmon
- 1503.01587 #3 · backfill · confidence 0.70 Joseph Salmon
- 1410.5014 #3 · backfill · confidence 0.70 Joseph Salmon
- 1208.6516 #1 · backfill · confidence 0.70 Joseph Salmon
- 1206.0338 #1 · backfill · confidence 0.70 Joseph Salmon
- 1112.4434 #2 · backfill · confidence 0.70 Joseph Salmon
Frequent Coauthors
- Alexandre Gramfort 9 shared papers
- Olivier Fercoq 7 shared papers
- Eugene Ndiaye 5 shared papers
- Mathurin Massias 3 shared papers
- Rebecca Willett 3 shared papers
- Aur\'elien Bellet 2 shared papers
- Charles-Alban Deledalle 2 shared papers
- Ery Arias-Castro 2 shared papers
- Evgenii Chzhen 2 shared papers
- Igor Colin 2 shared papers
- Mohamed Hebiri 2 shared papers
- Samuel Vaiter 2 shared papers
- St\'ephan Cl\'emen\c{c}on 2 shared papers
- Vincent Lecl\`ere 2 shared papers
- Alexis Joly 1 shared papers
- Axel Parmentier 1 shared papers
- Bertrand Thirion (CEA) 1 shared papers
- Charles-Alban Deledalle (IMB) 1 shared papers
- Christophe Denis 1 shared papers
- Claire Boyer 1 shared papers