Alexandre Lacasse
4 papers · 2006–2015 · 2 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 ↓+4 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer
🏆
Keyword Champion
🌟
Keyword Trendsetter Combo
(4)
📈
Trend Setter
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
ensemble learning
(3)
pac-bayes bound
(3)
risk bound
(3)
gibbs classifier
(2)
majority vote
(2)
statistical learning theory
(1)
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)
exponential loss
(1)
logistic loss
(1)
support vector machine
(1)
pac-bayesian bound
(1)
loss function
(1)
convex combination
(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
NeurIPS 2009
A PAC-Bayes Risk Bound for General Loss Functions
NeurIPS 2006
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier
NeurIPS 2006