Andreas Argyriou
8 papers · 2006–2014 · 4 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
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Trendsetter Combo
(4)
π
Keyword Champion
π§
Keyword Pioneer
β
The Questioner
π
Trend Setter
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(8)
Core Methods
(7)
Optimization & Theory Β· Machine Learning
(6)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Mathematics & Optimization
(3)
Learning Paradigms
(3)
Optimization
(3)
Optimization & Theory Β· Deep Learning
(2)
Learning Types Β· Deep Learning
(1)
Keywords
multi-task learning
(5)
feature selection
(3)
convex optimization
(3)
representation learning
(2)
transfer learning
(2)
feature learning
(2)
low-dimensional representation
(2)
spectral regularization
(2)
lasso regression
(2)
representer theorem
(2)
shared representation
(2)
sparse prediction
(1)
sparse regression
(1)
multi-task structure learning
(1)
convex relaxation
(1)
sparse regularization
(1)
hilbert space
(1)
supervised tasks
(1)
matrix norm regularization
(1)
multi-task feature learning
(1)
Papers
A Unifying View of Representer Theorems
ICML 2014
A General Framework for Structured Sparsity via Proximal Optimization
AISTATS 2012
Exploiting Unrelated Tasks in Multi-Task Learning
AISTATS 2012
Sparse Prediction with the k-Support Norm
NeurIPS 2012
On Spectral Learning
JMLR 2010
When Is There a Representer Theorem? Vector Versus Matrix Regularizers
JMLR 2009
A Spectral Regularization Framework for Multi-Task Structure Learning
NeurIPS 2007
Multi-Task Feature Learning
NeurIPS 2006