Daniel Vainsencher
5 papers · 2011–2017 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (3) π Academic Marathon (6)
π
Cross-Pollinator
(12)
π
Interdisciplinary Bridge
π
Conference Pioneer
Conferences
COLT (2)
NIPS (2)
JMLR (1)
Top co-authors
Keywords
generalization bound
(3)
sparse representation
(2)
sample complexity
(2)
dictionary learning
(2)
clustering
(1)
compressive sensing
(1)
empirical risk minimization
(1)
l1 regularization
(1)
model-based clustering
(1)
variance reduction
(1)
stochastic dual coordinate ascent
(1)
local smoothness
(1)
multiple model learning
(1)
regularized weighting
(1)
stochastic variance reduced gradient
(1)
model weighting
(1)
babel function
(1)
robust clustering
(1)
unsupervised learning
(1)
stochastic optimization
(1)
Papers
Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization
COLT 2017
Local Smoothness in Variance Reduced Optimization
NIPS 2015
Learning Multiple Models via Regularized Weighting
NIPS 2013
The Sample Complexity of Dictionary Learning
COLT 2011
The Sample Complexity of Dictionary Learning
JMLR 2011