Francesco Dinuzzo
6 papers · 2007–2017 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🌍 Conference Polyglot · Silver
🏆
Keyword Champion
(3)
🧭
Keyword Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Core Methods
(4)
Optimization & Theory · Machine Learning
(4)
Mathematics & Optimization
(2)
Mathematics
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Learning Types
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
representer theorem
(3)
kernel methods
(2)
hilbert space
(2)
text classification
(1)
opinion mining
(1)
sentiment classification
(1)
support vector regression
(1)
probability distribution
(1)
reproducing kernel hilbert space
(1)
matrix approximation
(1)
kernel matrix
(1)
nuclear norm regularization
(1)
probability measure
(1)
low-rank constraint
(1)
distribution learning
(1)
regularization theory
(1)
functional minimization
(1)
radial nondecreasing functions
(1)
regularization functionals
(1)
matrix regularization
(1)
Papers
Stance Classification of Context-Dependent Claims
EACL 2017
A Unifying View of Representer Theorems
ICML 2014
Learning from Distributions via Support Measure Machines
NeurIPS 2012
The representer theorem for Hilbert spaces: a necessary and sufficient condition
NeurIPS 2012
Learning low-rank output kernels
ACML 2011
On the Representer Theorem and Equivalent Degrees of Freedom of SVR
JMLR 2007