팔로우
Guillaume Garrigos
Guillaume Garrigos
Université Paris Cité
lpsm.paris의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
Splitting methods with variable metric for Kurdyka–Łojasiewicz functions and general convergence rates
P Frankel, G Garrigos, J Peypouquet
Journal of Optimization Theory and Applications 165, 874-900, 2015
2422015
Handbook of convergence theorems for (stochastic) gradient methods
G Garrigos, RM Gower
arXiv preprint arXiv:2301.11235, 2023
662023
Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry
G Garrigos, L Rosasco, S Villa
Mathematical Programming 198 (1), 937-996, 2023
522023
Iterative regularization via dual diagonal descent
G Garrigos, L Rosasco, S Villa
Journal of Mathematical Imaging and Vision, doi:10.1007/s10851-017-0754-0, 2017
342017
A dynamic gradient approach to Pareto optimization with nonsmooth convex objective functions
H Attouch, G Garrigos, X Goudou
Journal of Mathematical Analysis and Applications 422 (1), 741-771, 2015
332015
Accelerated iterative regularization via dual diagonal descent
L Calatroni, G Garrigos, L Rosasco, S Villa
SIAM Journal on Optimization 31 (1), 754-784, 2021
162021
Provable convergence guarantees for black-box variational inference
J Domke, R Gower, G Garrigos
Advances in neural information processing systems 36, 2024
102024
Thresholding gradient methods in Hilbert spaces: support identification and linear convergence
G Garrigos, L Rosasco, S Villa
ESAIM: Control, Optimisation and Calculus of Variations 26, 28, 2020
102020
Model consistency for learning with mirror-stratifiable regularizers
J Fadili, G Garrigos, J Malick, G Peyré
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
92019
Descent dynamical systems and algorithms for tame optimization and multi-objective problems.
G Garrigos
Université de Montpellier; Universidad Tecnica Federico Santa Maria, 2015
92015
Square distance functions are polyak-{\L} ojasiewicz and vice-versa
G Garrigos
arXiv preprint arXiv:2301.10332, 2023
72023
Multiibjective optimization: an inertial dynamical approach to Pareto optima
H Attouch, G Garrigos
arXiv preprint arXiv:1506.02823, 2015
62015
SAN: stochastic average newton algorithm for minimizing finite sums
J Chen, R Yuan, G Garrigos, RM Gower
International Conference on Artificial Intelligence and Statistics, 279-318, 2022
42022
Function value learning: Adaptive learning rates based on the Polyak stepsize and function splitting in ERM
G Garrigos, RM Gower, F Schaipp
arXiv preprint arXiv:2307.14528, 2023
22023
Multivariate Online Linear Regression for Hierarchical Forecasting
M Hihat, G Garrigos, A Fermanian, S Bussy
arXiv preprint arXiv:2402.14578, 2024
2024
SGD with Clipping is Secretly Estimating the Median Gradient
F Schaipp, G Garrigos, U Simsekli, R Gower
arXiv preprint arXiv:2402.12828, 2024
2024
Online inventory problems: beyond the iid setting with online convex optimization
M Hihat, S Gaïffas, G Garrigos, S Bussy
Advances in Neural Information Processing Systems 36, 2024
2024
Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability
G Garrigos, L Rosasco, S Villa
https://arxiv.org/abs/1803.00783, 2018
2018
Iterative regularization via a dual diagonal descent method
G Garrigos, L Rosasco, S Villa
NIPS Workshop on Optimization for Machine Learning, 2016
2016
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–19