Guillaume Garrigos

According to our database, Guillaume Garrigos authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multivariate Online Linear Regression for Hierarchical Forecasting.

Massil Hihat, Guillaume Garrigos, Adeline Fermanian, Simon Bussy

CoRR, 2024

SGD with Clipping is Secretly Estimating the Median Gradient.

Fabian Schaipp, Guillaume Garrigos, Umut Simsekli, Robert M. Gower

CoRR, 2024

2023

Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry.

Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa

Math. Program., March, 2023

Function Value Learning: Adaptive Learning Rates Based on the Polyak Stepsize and Function Splitting in ERM.

Guillaume Garrigos, Robert M. Gower, Fabian Schaipp

CoRR, 2023

Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization.

Massil Hihat, Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provable convergence guarantees for black-box variational inference.

Justin Domke, Robert M. Gower, Guillaume Garrigos

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums.

Jiabin Chen, Rui Yuan, Guillaume Garrigos, Robert M. Gower

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Accelerated Iterative Regularization via Dual Diagonal Descent.

Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa

SIAM J. Optim., 2021

2019

Model Consistency for Learning with Mirror-Stratifiable Regularizers.

Jalal Fadili, Guillaume Garrigos, Jérôme Malick, Gabriel Peyré

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Iterative Regularization via Dual Diagonal Descent.

Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa

J. Math. Imaging Vis., 2018

Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability.

Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa

Proceedings of the 26th European Signal Processing Conference, 2018

2015

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).

Guillaume Garrigos

PhD thesis, 2015

Splitting Methods with Variable Metric for Kurdyka-Łojasiewicz Functions and General Convergence Rates.

Pierre Frankel, Guillaume Garrigos, Juan Peypouquet

J. Optim. Theory Appl., 2015