Joseph Salmon
27 papers · 2011–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Academic Marathon (14)
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Academic Marathon
(14)
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Cross-Pollinator
(9)
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Renaissance Researcher
(5)
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Deep Specialist
(16)
π₯
Mega-Team
(21)
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Keyword Champion
(3)
π€
Dynamic Duo
(14)
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Trend Setter
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Century Club
(27)
ποΈ
Keyword Collector
(110)
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Prolific Year
(6)
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Conference Pioneer
π₯
Unstoppable
(8)
Conferences
ICML (10)
NIPS (7)
AISTATS (4)
JMLR (3)
AUTOML (1)
COLT (1)
WACV (1)
Top co-authors
Research topics
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