Lorenzo Rosasco
63 papers
· 2004–2025
· 9 conferences
· across top CS/AI conferences
Achievements
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Conference Polyglot
(9)
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Keyword Pioneer
๐ฃ
Hot Topic Early Bird
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Cross-Pollinator
(13)
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
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Academic Marathon
(21)
๐บ๏ธ
Taxonomy Completionist
(20)
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Conference Loyalist
(27)
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Keyword Trendsetter Combo
(3)
๐ฌ
Deep Specialist
(28)
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Keyword Champion
๐ฑ
Topic Pioneer
๐ค
Dynamic Duo
(14)
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Trend Setter
๐ฅ
Unstoppable
(11)
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Conference Pioneer
โก
Prolific Year
(7)
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Century Club
(63)
๐๏ธ
Keyword Collector
(97)
Conferences
NIPS (27)
AISTATS (11)
JMLR (10)
ICML (7)
COLT (3)
CLEAR (2)
CORL (1)
CVPR (1)
ICLR (1)
Top co-authors
Research topics
Keywords
kernel methods
(16)
reproducing kernel hilbert space
(7)
nystrรถm method
(6)
stochastic gradient descent
(6)
gaussian process
(5)
nonparametric learning
(5)
convex optimization
(5)
early stopping
(4)
bayesian optimization
(4)
structured prediction
(4)
iterative regularization
(4)
support vector machine
(4)
kernel ridge regression
(4)
manifold learning
(4)
random feature
(4)
score matching
(3)
regularization parameter
(3)
causal discovery
(3)
ridge regression
(3)
large-scale learning
(3)
Papers
Nystrรถm Kernel Mean Embeddings
ICML 2022
Iterative regularization for convex regularizers
AISTATS 2021
Regularized ERM on random subspaces
AISTATS 2021
Hyperbolic Manifold Regression
AISTATS 2020
Learning with SGD and Random Features
NIPS 2018
Solving lp-norm regularization with tensor kernels
AISTATS 2018
Manifold Structured Prediction
NIPS 2018
NYTRO: When Subsampling Meets Early Stopping
AISTATS 2016
Multiclass Learning with Simplex Coding
NIPS 2012
On Learning with Integral Operators
JMLR 2010
On Invariance in Hierarchical Models
NIPS 2009