On causal discovery with cyclic additive noise models

Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011

Volumn , Issue , 2011, Pages

  Mooij, Joris M ^a   Janzing, Dominik ^b   Heskes, Tom ^a   Schölkopf, Bernhard ^b  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; GAUSSIAN NOISE (ELECTRONIC); INDEPENDENT COMPONENT ANALYSIS;

BIVARIATE GAUSSIAN; CAUSAL GRAPH; CAUSAL MODELING; LEARN+; LOSS FUNCTIONS; NOISE MODELS; NONLINEAR FUNCTIONS; NONLINEAR INDEPENDENT COMPONENT ANALYSIS; OBSERVATIONAL DATA; SYNTHETIC DATA;

ADDITIVE NOISE;

EID: 85162312543     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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