Silvia Villa

Orcid: 0000-0002-6232-5631

According to our database1, Silvia Villa authored at least 40 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Iterative regularization for low complexity regularizers.
Numerische Mathematik, April, 2024

2023
Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization.
Comput. Optim. Appl., September, 2023

Zeroth-order optimization with orthogonal random directions.
Math. Program., May, 2023

Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry.
Math. Program., March, 2023

Variance reduction techniques for stochastic proximal point algorithms.
CoRR, 2023

An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Snacks: a fast large-scale kernel SVM solver.
Proceedings of the European Control Conference, 2023

Regularization Properties of Dual Subgradient Flow.
Proceedings of the European Control Conference, 2023

2022
Parallel random block-coordinate forward-backward algorithm: a unified convergence analysis.
Math. Program., 2022

Convergence rates for the heavy-ball continuous dynamics for non-convex optimization, under Polyak-Łojasiewicz condition.
J. Glob. Optim., 2022

Iterative regularization in classification via hinge loss diagonal descent.
CoRR, 2022

Stochastic Zeroth order Descent with Structured Directions.
CoRR, 2022

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Accelerated Iterative Regularization via Dual Diagonal Descent.
SIAM J. Optim., 2021

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization.
CoRR, 2021

Iterative regularization for convex regularizers.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Implicit regularization for convex regularizers.
CoRR, 2020

2018
Consistent learning by composite proximal thresholding.
Math. Program., 2018

Iterative Regularization via Dual Diagonal Descent.
J. Math. Imaging Vis., 2018

Modified Fejér sequences and applications.
Comput. Optim. Appl., 2018

Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Don't relax: early stopping for convex regularization.
CoRR, 2017

Drug delivery nanovectors based on SPIONS for targeted therapy of hepatocellular carcinoma.
Proceedings of the 12th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2017

2016
Stochastic Forward-Backward Splitting for Monotone Inclusions.
J. Optim. Theory Appl., 2016

Stochastic gradient methods for stochastic model predictive control.
Proceedings of the 15th European Control Conference, 2016

2015
Learning with Incremental Iterative Regularization.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning multiple visual tasks while discovering their structure.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Regularization by Early Stopping for Online Learning Algorithms.
CoRR, 2014

Proximal methods for the latent group lasso penalty.
Comput. Optim. Appl., 2014

2013
Accelerated and Inexact Forward-Backward Algorithms.
SIAM J. Optim., 2013

Nonparametric sparsity and regularization.
J. Mach. Learn. Res., 2013

On Learnability, Complexity and Stability.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012
Convergence analysis of a proximal Gauss-Newton method.
Comput. Optim. Appl., 2012

2011
A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization.
J. Complex., 2011

PADDLE: Proximal Algorithm for Dual Dictionaries LEarning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
A Regularization Approach to Nonlinear Variable Selection.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Solving Structured Sparsity Regularization with Proximal Methods.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2007
On the Regularization of Sliding Modes.
SIAM J. Optim., 2007

2004
Well-posedness of Nonconvex Integral Functionals.
SIAM J. Control. Optim., 2004


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