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Volumn 2, Issue , 2015, Pages 1452-1461

Towards a learning theory of cause-effect inference

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS;

EID: 84965164729     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (166)

References (48)
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    • Hein, M.1    Bousquet, O.2
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    • Rademacher processes and bounding the risk of function learning
    • E. Gine, D. and J.Wellner (eds.), Birkhauser
    • Koltchinskii, V. and Panchenko, D. Rademacher processes and bounding the risk of function learning. In E. Gine, D. and J.Wellner (eds.), High Dimensional Probability, II, pp. 443-457. Birkhauser, 1999.
    • (1999) High Dimensional Probability , vol.2 , pp. 443-457
    • Koltchinskii, V.1    Panchenko, D.2
  • 19
    • 84919880773 scopus 로고    scopus 로고
    • Consistency of causal inference under the additive noise model
    • Kpotufe, S., Sgouritsa, E., Janzing, D., and Scholkopf, B. Consistency of causal inference under the additive noise model. ICML, 2013.
    • (2013) ICML
    • Kpotufe, S.1    Sgouritsa, E.2    Janzing, D.3    Scholkopf, B.4
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    • The rademacher complexity of linear transformation classes
    • Maurer, A. The rademacher complexity of linear transformation classes. COLT, 2006.
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    • Maurer, A.1
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    • Causal discovery with continuous additive noise models
    • Peters, J., M., Joris M., Janzing, D., and Schölkopf, B. Causal discovery with continuous additive noise models. JMLR, 2014.
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    • Peters, J.M.1    Joris, M.2    Janzing, D.3    Schölkopf, B.4
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    • 77953218689 scopus 로고    scopus 로고
    • Random features for large-scale kernel machines
    • Rahimi, A. and Recht, B. Random features for large-scale kernel machines. NIPS, 2007.
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    • Rahimi, A.1    Recht, B.2
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    • Weighted sums of random kitchen sinks: Replacing minimization with randomization in learning
    • Rahimi, A. and Recht, B. Weighted sums of random kitchen sinks: Replacing minimization with randomization in learning. NIPS, 2008.
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    • Rahimi, A.1    Recht, B.2
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    • A Hilbert space embedding for distributions
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    • Smola, A. J., Gretton, A., Song, L., and Schölkopf, B. A Hilbert space embedding for distributions. In ALT. Springer-Verlag, 2007.
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    • Smola, A.J.1    Gretton, A.2    Song, L.3    Schölkopf, B.4
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    • Probabilistic latent variable models for distinguishing between cause and effect
    • Stegle, O., Janzing, D., Zhang, K., Mooij, J. M., and Schölkopf, B. Probabilistic latent variable models for distinguishing between cause and effect. NIPS, 2010.
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    • Stegle, O.1    Janzing, D.2    Zhang, K.3    Mooij, J.M.4    Schölkopf, B.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.