Bruno Pelletier
5 papers · 2011–2020 · 1 venue · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (11) π£ Hot Topic Early Bird π Keyword Champion (2)
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Research topics
Keywords
gradient estimation
(2)
manifold learning
(2)
mean shift algorithm
(2)
gradient line
(2)
dimensionality reduction
(2)
procrustes analysis
(1)
nonparametric statistics
(1)
maximum variance unfolding
(1)
kernel density estimation
(1)
nonparametric density estimation
(1)
convergence rate
(1)
nonlinear dimensionality reduction
(1)
perturbation bound
(1)
level set
(1)
operator norm convergence
(1)
classical scaling
(1)
spectral clustering
(1)
graph laplacian
(1)
density estimation
(1)
convergence analysis
(1)
Papers
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning
JMLR 2020
ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm
JMLR 2016
On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm
JMLR 2016
On the Convergence of Maximum Variance Unfolding
JMLR 2013
Operator Norm Convergence of Spectral Clustering on Level Sets
JMLR 2011