Antonio Silveti-Falls

Orcid: 0000-0002-8165-6348

According to our database1, Antonio Silveti-Falls authored at least 10 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Training Neural Networks at Any Scale: An exposition.
IEEE Signal Process. Mag., May, 2026

Constrained Stochastic Spectral Preconditioning Converges for Nonconvex Objectives.
CoRR, May, 2026

On the Role of Batch Size in Stochastic Conditional Gradient Methods.
CoRR, March, 2026

2025
Training Neural Networks at Any Scale.
CoRR, November, 2025

Training Deep Learning Models with Norm-Constrained LMOs.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Numerical Implementation of Variational Morphological Operators on Graphs.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2025

2024
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems.
SIAM J. Optim., March, 2024

2021
First-Order Noneuclidean Splitting Methods for Large-Scale Optimization: Deterministic and Stochastic Algorithms. (Méthodes d'Éclatement Non Euclidien du Premier Ordre pour l'Optimisation à Grande Échelle: Algorithmes Déterministes et Stochastiques).
PhD thesis, 2021

Nonsmooth Implicit Differentiation for Machine-Learning and Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Generalized Conditional Gradient with Augmented Lagrangian for Composite Minimization.
SIAM J. Optim., 2020


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