Daniel Vainsencher
5 papers · 2011–2017 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
π
Conference Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Keywords
generalization bound
(3)
breakdown point
(2)
sample complexity
(2)
dictionary learning
(2)
sparse representation
(2)
compressive sensing
(1)
empirical risk minimization
(1)
l1 regularization
(1)
model-based clustering
(1)
variance reduction
(1)
non-uniform sampling
(1)
stochastic dual coordinate ascent
(1)
local smoothness
(1)
outliers
(1)
generalization
(1)
multiple model learning
(1)
regularized weighting
(1)
iteration complexity
(1)
stochastic variance reduced gradient
(1)
empirical loss
(1)
Papers
Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization
COLT 2017
Local Smoothness in Variance Reduced Optimization
NeurIPS 2015
Learning Multiple Models via Regularized Weighting
NeurIPS 2013
The Sample Complexity of Dictionary Learning
COLT 2011
The Sample Complexity of Dictionary Learning
JMLR 2011