Alexandre Lacasse
4 papers · 2006–2015 · 2 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (7) π Interdisciplinary Bridge π£ Hot Topic Early Bird π Conference Polyglot (2) π Academic Marathon (9)
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Keyword Pioneer
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Keyword Champion
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Trend Setter
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Conference Pioneer
Conferences
NIPS (3)
JMLR (1)
Top co-authors
Keywords
risk bound
(3)
ensemble learning
(3)
pac-bayes bound
(3)
gibbs classifier
(2)
majority vote
(2)
ridge regression
(1)
pac-bayes theory
(1)
bound analysis
(1)
pac-bayesian analysis
(1)
coordinate descent
(1)
kl regularization
(1)
stochastic classifier
(1)
variance estimation
(1)
support vector machine
(1)
pac-bayesian bound
(1)
loss function
(1)
convex combination
(1)
classifier ensemble
(1)
learning theory
(1)
variance bound
(1)
Papers
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm
JMLR 2015
From PAC-Bayes Bounds to KL Regularization
NIPS 2009
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier
NIPS 2006
A PAC-Bayes Risk Bound for General Loss Functions
NIPS 2006