Discovering temporal causal relations from subsampled data

32nd International Conference on Machine Learning, ICML 2015

Volumn 3, Issue , 2015, Pages 1898-1906

  Gong, Mingming ^a   Zhang, Kun ^b,c   Schölkopf, Bernhard ^b   Tao, Dacheng ^a   Geiger, Philipp ^b  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; MAXIMUM PRINCIPLE; TIME SERIES;

CAUSAL ANALYSIS; CAUSAL RELATIONS; DATA RESOLUTIONS; EXPECTATION-MAXIMIZATION APPROACHES; HIGH FREQUENCY DATA; IDENTIFIABILITY; VARIATIONAL INFERENCE; VECTOR AUTOREGRESSIVE MODEL;

TIME SERIES ANALYSIS;

EID: 84969916054     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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