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Books and Theses
- 2015
[b1]Guillaume Garrigos:
Descent dynamical systems and algorithms for tame optimization, and multi-objective problems. (Systèmes dynamiques de descente et algorithmes pour l'optimisation modérée, et les problèmes multi-objectif). University of Montpellier, France, 2015
Journal Articles
- 2023
- [j4]Guillaume Garrigos
, Lorenzo Rosasco, Silvia Villa:
Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry. Math. Program. 198(1): 937-996 (2023) - 2021
- [j3]Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa:
Accelerated Iterative Regularization via Dual Diagonal Descent. SIAM J. Optim. 31(1): 754-784 (2021) - 2018
- [j2]Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa:
Iterative Regularization via Dual Diagonal Descent. J. Math. Imaging Vis. 60(2): 189-215 (2018) - 2015
- [j1]Pierre Frankel, Guillaume Garrigos, Juan Peypouquet:
Splitting Methods with Variable Metric for Kurdyka-Łojasiewicz Functions and General Convergence Rates. J. Optim. Theory Appl. 165(3): 874-900 (2015)
Conference and Workshop Papers
- 2023
- [c5]Justin Domke, Robert M. Gower, Guillaume Garrigos:
Provable convergence guarantees for black-box variational inference. NeurIPS 2023 - [c4]Massil Hihat, Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy:
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization. NeurIPS 2023 - 2022
- [c3]Jiabin Chen, Rui Yuan, Guillaume Garrigos, Robert M. Gower:
SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums. AISTATS 2022: 279-318 - 2019
- [c2]Jalal Fadili, Guillaume Garrigos, Jérôme Malick, Gabriel Peyré:
Model Consistency for Learning with Mirror-Stratifiable Regularizers. AISTATS 2019: 1236-1244 - 2018
- [c1]Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa:
Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability. EUSIPCO 2018: 1077-1081
Informal and Other Publications
- 2024
- [i6]Fabian Schaipp, Guillaume Garrigos, Umut Simsekli, Robert M. Gower:
SGD with Clipping is Secretly Estimating the Median Gradient. CoRR abs/2402.12828 (2024) - [i5]Massil Hihat, Guillaume Garrigos, Adeline Fermanian, Simon Bussy:
Multivariate Online Linear Regression for Hierarchical Forecasting. CoRR abs/2402.14578 (2024) - 2023
- [i4]Justin Domke, Guillaume Garrigos, Robert M. Gower:
Provable convergence guarantees for black-box variational inference. CoRR abs/2306.03638 (2023) - [i3]Massil Hihat, Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy:
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization. CoRR abs/2307.06048 (2023) - [i2]Guillaume Garrigos, Robert M. Gower, Fabian Schaipp:
Function Value Learning: Adaptive Learning Rates Based on the Polyak Stepsize and Function Splitting in ERM. CoRR abs/2307.14528 (2023) - 2021
- [i1]Jiabin Chen, Rui Yuan, Guillaume Garrigos, Robert M. Gower:
SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums. CoRR abs/2106.10520 (2021)
Coauthor Index
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