Conditional mean embeddings as regressors

Proceedings of the 29th International Conference on Machine Learning, ICML 2012

Volumn 2, Issue , 2012, Pages 1823-1830

  Grünewälder, Steffen ^a   Lever, Guy ^a   Baldassarre, Luca ^a   Patterson, Sam ^b   Gretton, Arthur ^b   Pontil, Massimilano ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL DISTRIBUTION; CONDITIONAL MEANS; CONVERGENCE RATES; CONVERGENCE RESULTS; EMBEDDING ALGORITHMS; EMBEDDING METHOD; EMBEDDING PROBLEMS; EMBEDDINGS; INCOMPLETE CHOLESKY DECOMPOSITION; INTUITIVE UNDERSTANDING; LOSS FUNCTIONS; MINIMAX; OPTIMAL RATE; REGRESSION METHOD; REPRODUCING KERNEL HILBERT SPACES; STATE OF THE ART; VECTOR VALUED;

REINFORCEMENT LEARNING;

LEARNING ALGORITHMS;

EID: 84867116447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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