Olivier Fercoq
18 papers · 2015–2023 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🏃 Academic Marathon (8)
🏃
Academic Marathon
(8)
🐣
Hot Topic Early Bird
🧬
Topic Evolution
🗃️
Keyword Collector
(57)
💎
Century Club
(18)
🔥
Unstoppable
(6)
📈
Trend Setter
Conferences
ICML (8)
NIPS (5)
ICLR (2)
ACML (1)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
coordinate descent
(8)
convex optimization
(4)
multi-task learning
(3)
screening rule
(3)
duality gap
(3)
feature selection
(2)
semidefinite programming
(2)
homotopy method
(2)
generalized linear model
(2)
empirical risk minimization
(2)
convex minimization
(2)
stochastic optimization
(2)
sparse optimization
(2)
conditional gradient
(2)
sparse regression
(1)
reproducing kernel hilbert space
(1)
logistic regression
(1)
l1 regularization
(1)
support vector regression
(1)
stochastic gradient
(1)
Papers
Solving stochastic weak Minty variational inequalities without increasing batch size
ICLR 2023
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
ICLR 2022
Random extrapolation for primal-dual coordinate descent
ICML 2020
Improved Optimistic Algorithms for Logistic Bandits
ICML 2020
Safe Grid Search with Optimal Complexity
ICML 2019
Almost surely constrained convex optimization
ICML 2019
Stochastic Frank-Wolfe for Composite Convex Minimization
NIPS 2019
A Conditional-Gradient-Based Augmented Lagrangian Framework
ICML 2019
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming
ICML 2018
Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression
AISTATS 2018
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
NIPS 2017
Data sparse nonparametric regression with $ε$-insensitive losses
ACML 2017
Gap Safe Screening Rules for Sparsity Enforcing Penalties
JMLR 2017
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization
ICML 2016
GAP Safe Screening Rules for Sparse-Group Lasso
NIPS 2016
Joint quantile regression in vector-valued RKHSs
NIPS 2016
Mind the duality gap: safer rules for the Lasso
ICML 2015
GAP Safe screening rules for sparse multi-task and multi-class models
NIPS 2015