Gert R. Lanckriet
5 papers · 2009–2012 · 1 conference · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14)
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Trend Setter
Conferences
NIPS (5)
Top co-authors
Keywords
kernel methods
(2)
variational inference
(1)
d.c. programming
(1)
em algorithm
(1)
convergence analysis
(1)
expectation maximization
(1)
hierarchical clustering
(1)
hilbert space
(1)
motion capture
(1)
probability distribution
(1)
reproducing kernel hilbert space
(1)
gradient boosting
(1)
maximum mean discrepancy
(1)
probability embeddings
(1)
convex optimization
(1)
majorization minimization
(1)
concave-convex procedure
(1)
nearest neighbor classification
(1)
reproducing kernel
(1)
manifold learning
(1)
Papers
Non-linear Metric Learning
NIPS 2012
The variational hierarchical EM algorithm for clustering hidden Markov models
NIPS 2012
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
NIPS 2011
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
NIPS 2009
On the Convergence of the Concave-Convex Procedure
NIPS 2009