BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Canada
1 × China
1 × France
1 × Germany
3 × USA
Collaborated with:
M.Marchand P.Germain S.Giguère A.Lacoste J.Roy A.Rolland H.Larochelle K.Sylla A.Habrard E.Morvant A.Lacasse S.Shanian
Talks about:
pac (5) classifi (3) bayesian (3) approach (3) learn (3) bound (3) bay (3) algorithm (2) compress (2) problem (2)

Person: François Laviolette

DBLP DBLP: Laviolette:Fran=ccedil=ois

Contributed to:

ICML 20152015
ICML c1 20142014
ICML c1 20132013
ICML c3 20132013
ICML 20112011
ICML 20092009
ICML 20052005

Wrote 8 papers:

ICML-2015-GiguereRLM #algorithm #kernel #predict #problem #string
Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction (SG, AR, FL, MM), pp. 2021–2029.
ICML-c1-2014-LacosteMLL #learning
Agnostic Bayesian Learning of Ensembles (AL, MM, FL, HL), pp. 611–619.
ICML-c1-2013-GiguereLMS #algorithm #approach #bound #learning #predict
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction (SG, FL, MM, KS), pp. 107–114.
ICML-c3-2013-GermainHLM #adaptation #approach #classification #linear
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers (PG, AH, FL, EM), pp. 738–746.
ICML-2011-GermainLLMS #approach #kernel
A PAC-Bayes Sample-compression Approach to Kernel Methods (PG, AL, FL, MM, SS), pp. 297–304.
ICML-2011-RoyLM #bound #polynomial #source code
From PAC-Bayes Bounds to Quadratic Programs for Majority Votes (JFR, FL, MM), pp. 649–656.
ICML-2009-GermainLLM #classification #learning #linear
PAC-Bayesian learning of linear classifiers (PG, AL, FL, MM), pp. 353–360.
ICML-2005-LavioletteM #bound #classification
PAC-Bayes risk bounds for sample-compressed Gibbs classifiers (FL, MM), pp. 481–488.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.