Gert R. Lanckriet
5 papers · 2009–2012 · 1 venue · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 📈 Trend Setter
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Venues
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Research topics
Machine Learning
(5)
Core Methods
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Mathematics
(2)
Optimization
(2)
Deep Learning
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types
(1)
Models
(1)
Keywords
kernel methods
(2)
reproducing kernel hilbert space
(2)
probability distribution
(2)
variational inference
(1)
convergence analysis
(1)
expectation maximization
(1)
em algorithm
(1)
hilbert space
(1)
hypothesis testing
(1)
motion capture
(1)
probability embeddings
(1)
hierarchical clustering
(1)
gradient boosting
(1)
maximum mean discrepancy
(1)
convex optimization
(1)
d.c. programming
(1)
majorization minimization
(1)
concave-convex procedure
(1)
nearest neighbor classification
(1)
manifold learning
(1)
Papers
Non-linear Metric Learning
NeurIPS 2012
The variational hierarchical EM algorithm for clustering hidden Markov models
NeurIPS 2012
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
NeurIPS 2011
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
NeurIPS 2009
On the Convergence of the Concave-Convex Procedure
NeurIPS 2009