Saverio Salzo
12 papers · 2018–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (21)
🤝
Dynamic Duo
(10)
💎
Century Club · Bronze
🗃️
Keyword Collector
(57)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(10)
Mathematics & Optimization
(7)
Optimization
(7)
Core Methods
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Learning Paradigms · Artificial Intelligence
(3)
Architectures
(2)
Learning Paradigms · Machine Learning
(2)
Mathematics
(2)
Data Science & Analytics
(1)
Bayesian & Probabilistic
(1)
Learning Types
(1)
Methods
(1)
Keywords
bilevel optimization
(5)
hyperparameter optimization
(4)
contraction mapping
(2)
stochastic approximation
(2)
approximate implicit differentiation
(2)
optimal transport
(2)
convergence rate
(2)
convergence analysis
(1)
network inference
(1)
convex optimization
(1)
time series
(1)
probability distribution
(1)
sparse regression
(1)
gradient descent
(1)
expressivity
(1)
nonparametric learning
(1)
implicit differentiation
(1)
forward-backward splitting
(1)
group lasso
(1)
bregman distance
(1)
Papers
A Bregman Proximal Viewpoint on Neural Operators
ICML 2025
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
ICML 2024
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start
JMLR 2023
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
ICML 2022
Bregman Neural Networks
ICML 2022
Convergence Properties of Stochastic Hypergradients
AISTATS 2021
On the Iteration Complexity of Hypergradient Computation
ICML 2020
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
NeurIPS 2019
Bilevel learning of the Group Lasso structure
NeurIPS 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
ICML 2018
Forward-Backward Splitting for Time-Varying Graphical Models
PGM 2018
Solving lp-norm regularization with tensor kernels
AISTATS 2018