Silvia Villa

1. Stochastic Zeroth order Descent with Structured Directions
   2022/06/10 by Marco Rando, Rando, Marco, Cesare Molinari +5 · 3 citations
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
2. An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization
   2023/05/25 by Marco Rando, Cesare Molinari, Rando, Marco +5 · 3 citations
   Computer Science · Engineering · #90C25 #90C26 #90C30 (Secondary) #90C56 (Primary) 49J52 #FOS: Mathematics #G.1.6 #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
3. Learning Multiple Visual Tasks while Discovering their Structure
   2015/04/13 by Carlo Ciliberto, Lorenzo Rosasco, Ciliberto, Carlo +3 · 3 citations
   Computer Science · Engineering · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sparse and Compressive Sensing Techniques
4. Parallel Random Block-Coordinate Forward-Backward Algorithm: A Unified\n Convergence Analysis
   2019/06/18 by Saverio Salzo, Salzo, Saverio, Silvia Villa +1 · 1 citation
   Computer Science · Mathematics · #49M27 #65K05 #90C06 #90C25 #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
5. Variance reduction techniques for stochastic proximal point algorithms
   2023/08/18 by Cheik Traoré, Traoré, Cheik, Vassilis Apidopoulos +5 · 2 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
6. On the convergence of proximal gradient methods for convex simple bilevel optimization
   2023/05/05 by Puya Latafat, Andreas Themelis, Latafat, Puya +5 · 1 citation
   Computer Science · Engineering · #Optimization and Variational Analysis #Stochastic Gradient Optimization Techniques #Asphalt Pavement Performance Evaluation
7. Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order
   2026/07/24 by Emanuele Naldi, Marco Rando, Lorenzo Rosasco +1
   #math.OC
8. Learning Ergodic Dynamical Systems from a Finite Trajectory
   2026/07/24 by Oleksii Kachaiev, Silvia Villa, Lorenzo Rosasco
   #stat.ML #cs.LG