Raffaello Camoriano
5 papers · 2015–2024 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (17)
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Keyword Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Core Methods
(4)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(2)
Application Areas
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types
(1)
Optimization
(1)
Keywords
stochastic gradient descent
(1)
model selection
(1)
uncertainty quantification
(1)
ridge regression
(1)
gaussian process
(1)
large-scale learning
(1)
convex loss
(1)
kernel ridge regression
(1)
least squares regression
(1)
early stopping
(1)
nyström approximation
(1)
nyström method
(1)
nystrom approximation
(1)
stochastic gradient method
(1)
dirichlet distribution
(1)
implicit regularization
(1)
statistical heterogeneity
(1)
generalization property
(1)
client drift
(1)
fine tuning
(1)
Papers
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
ICML 2024
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
NeurIPS 2018
Generalization Properties and Implicit Regularization for Multiple Passes SGM
ICML 2016
NYTRO: When Subsampling Meets Early Stopping
AISTATS 2016
Less is More: Nyström Computational Regularization
NeurIPS 2015