{"id":27736,"date":"2021-07-25T23:36:37","date_gmt":"2021-07-25T15:36:37","guid":{"rendered":"https:\/\/swarma.org\/?p=27736"},"modified":"2021-07-25T23:36:37","modified_gmt":"2021-07-25T15:36:37","slug":"%e5%9b%a0%e6%9e%9c%e7%a7%91%e5%ad%a6%e7%ae%97%e6%b3%95%e3%80%81%e6%a1%86%e6%9e%b6%e3%80%81%e6%95%b0%e6%8d%ae%e9%9b%86%e6%b1%87%e6%80%bb","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=27736","title":{"rendered":"\u56e0\u679c\u79d1\u5b66\u7b97\u6cd5\u3001\u6846\u67b6\u3001\u6570\u636e\u96c6\u6c47\u603b"},"content":{"rendered":"
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\u672c\u6587\u6536\u96c6\u4e86\u76f8\u5173\u7684\u6982\u7387\u7f16\u7a0b\u6846\u67b6\u3001\u5de5\u5177\u5305\u3001\u6570\u636e\u96c6\u53ca\u57fa\u51c6\uff0c\u5e76\u4f9d\u6b64\u8fdb\u884c\u5206\u7c7b\u3002\u7279\u522b\u611f\u8c22\u56e0\u679c\u793e\u533a\u6210\u5458\u95eb\u548c\u4e1c\u7684\u68b3\u7406\u548c\u603b\u7ed3\uff0c\u611f\u8c22\u9f9a\u9e64\u626c\u3001\u5f20\u5929\u5065\u3001\u674e\u5949\u6cbb\u3001\u6bb5\u6708\u7136\u3001\u5b59\u94a6\u8d35\u53c2\u4e0e\u8ba8\u8bba\u548c\u8d21\u732e\uff0c\u6211\u4eec\u540e\u7eed\u4f1a\u5bf9\u76f8\u5e94\u7684\u7b97\u6cd5\u505a\u66f4\u8be6\u7ec6\u7684\u4ecb\u7ecd\u548c\u8bf4\u660e\uff0c\u8bf7\u5bf9\u76f8\u5173\u5185\u5bb9\u611f\u5174\u8da3\u7684\u540c\u5b66\u6216\u8005\u8001\u5e08\u52a0\u5165\u56e0\u679c\u793e\u533a\uff0c\u4e00\u8d77\u8d21\u732e\uff01<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

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1. \u7b80\u4ecb<\/strong><\/strong><\/p>\n<\/section>\n

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\u56e0\u679c\u79d1\u5b66\u7684\u5de5\u4f5c\u5927\u81f4\u53ef\u4ee5\u5206\u4e3a\u57fa\u7840\u56e0\u679c\u5047\u8bbe\u53ca\u6846\u67b6<\/span>\uff08fundamental causal assumption and framework\uff09<\/span>\u3001\u56e0\u679c\u5b66\u4e60<\/span>\uff08causal learning\uff09<\/span>\u3001\u56e0\u679c\u63a8\u65ad<\/span>\uff08causal reasoning\/inference\uff09<\/span>\u548c\u5e94\u7528\u7cfb\u7edf\uff0c\u5176\u4e2d\u56e0\u679c\u5b66\u4e60\u53c8\u53ef\u4ee5\u5206\u4e3a\u56e0\u679c\u7ed3\u6784\u5b66\u4e60<\/span>\uff08causal discovery\/causal structure learning\uff09<\/span>\u548c\u56e0\u679c\u8868\u793a\u5b66\u4e60<\/span>\uff08causal representation learning\uff09<\/span>\u3002<\/span><\/p>\n


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\u672c\u6587\u6536\u96c6\u4e86\u76f8\u5173\u7684\u6982\u7387\u7f16\u7a0b\u6846\u67b6\u3001\u5de5\u5177\u5305\u3001\u6570\u636e\u96c6\u53ca\u57fa\u51c6\uff0c\u5e76\u4f9d\u6b64\u8fdb\u884c\u5206\u7c7b\u3002<\/span><\/p>\n


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\u76f8\u5173\u94fe\u63a5\uff1a<\/span><\/strong><\/p>\n

pyro\uff1a<\/span><\/p>\n

http:\/\/pyro.ai\/<\/span><\/section>\n

pymc3\uff1a<\/span><\/p>\n

http:\/\/docs.pymc.io\/<\/span><\/section>\n

pgmpy\uff1a<\/span><\/p>\n

https:\/\/github.com\/pgmpy\/pgmpy<\/span><\/section>\n

pomegranate\uff1a<\/span><\/p>\n

https:\/\/github.com\/jmschrei\/pomegranate<\/span><\/p>\n


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\u76f8\u5173\u94fe\u63a5\uff1a<\/span><\/strong><\/p>\n

TETRAD\uff1a<\/span><\/p>\n

https:\/\/github.com\/cmu-phil\/tetrad<\/span><\/section>\n

CausalDiscoveryToolbox\uff1a<\/span><\/p>\n

https:\/\/github.com\/FenTechSolutions\/CausalDiscoveryToolbox<\/span><\/p>\n

gCastle\uff1a<\/span><\/span><\/p>\n

https:\/\/github.com\/huawei-noah\/trustworthyAI\/tree\/master\/gcastle<\/span><\/section>\n

tigramite\uff1a<\/span><\/p>\n

https:\/\/github.com\/jakobrunge\/tigramite<\/span><\/section>\n

Ananke\uff1a<\/span><\/p>\n

https:\/\/ananke.readthedocs.io\/en\/latest\/<\/span><\/section>\n

EconML\uff1a<\/span><\/p>\n

https:\/\/github.com\/microsoft\/EconML<\/span><\/section>\n

dowhy\uff1a<\/span><\/p>\n

https:\/\/github.com\/microsoft\/dowhy<\/span><\/section>\n

causalml\uff1a<\/span><\/p>\n

https:\/\/github.com\/uber\/causalml<\/span><\/section>\n

WhyNot\uff1a<\/span><\/p>\n

https:\/\/whynot.readthedocs.io\/en\/latest\/<\/span><\/section>\n

CausalImpact\uff1a<\/span><\/p>\n

https:\/\/github.com\/google\/CausalImpact<\/span><\/section>\n

Causal-Curve\uff1a<\/span><\/p>\n

https:\/\/github.com\/ronikobrosly\/causal-curve<\/span><\/section>\n

grf\uff1a<\/span><\/p>\n

https:\/\/github.com\/grf-labs\/grf<\/span><\/section>\n

dosearch\uff1a<\/span><\/p>\n

https:\/\/cran.r-project.org\/web\/packages\/dosearch\/index.html<\/span><\/section>\n

causalnex\uff1a<\/span><\/p>\n

https:\/\/github.com\/quantumblacklabs\/causalnex<\/span><\/p>\n


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\u76f8\u5173\u94fe\u63a5\uff1a<\/span><\/strong><\/p>\n

MIMIC II\/III Data\uff1a<\/span><\/p>\n

https:\/\/archive.physionet.org\/mimic2\/<\/span><\/p>\n

https:\/\/physionet.org\/content\/mimiciii\/1.4\/<\/span><\/section>\n

Advertisement Data\uff1a<\/span><\/p>\n

https:\/\/research.google\/pubs\/pub41854\/<\/span><\/section>\n

Geo experiment data\uff1a<\/span><\/p>\n

https:\/\/research.google\/pubs\/pub45950\/<\/span><\/section>\n

Economic data for Spanish regions\uff1a<\/span><\/p>\n

https:\/\/www.aeaweb.org\/articles?id=10.1257\/000282803321455188<\/span><\/section>\n

California\u2019s Tobacco Control Program\uff1a<\/span><\/p>\n

https:\/\/economics.mit.edu\/files\/11859<\/span><\/section>\n

Air Quality Data\uff1a<\/span><\/p>\n

https:\/\/www.aeaweb.org\/articles?id=10.1257\/aer.101.6.2687<\/span><\/section>\n

Monetary Policy Data\uff1a<\/span><\/p>\n

https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/01621459.2018.1491403?journalCode=uasa20<\/span><\/section>\n

JustCause\uff1a<\/span><\/p>\n

https:\/\/justcause.readthedocs.io\/en\/latest\/<\/span><\/section>\n

Causeme\uff1a<\/span><\/p>\n

https:\/\/causeme.uv.es\/<\/span><\/section>\n


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\u56e0\u679c\u53d1\u73b0\u6570\u636e\u96c6<\/span><\/strong><\/span><\/p>\n

\u53c2\u8003\u7efc\u8ff0\u6587\u732e\uff1a<\/span>https:\/\/arxiv.org\/abs\/2102.05829<\/span><\/p>\n


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\u771f\u5b9e\u6570\u636e\u96c6\uff1aUS Manufacturing Growth Data\uff0cDiabetes Dataset\uff0cTemperature Ozone Data\uff0cOHDNOAA Dataset \uff0cNeural activity Dataset\uff0cHuman Motion Capture\uff0cTraffic Prediction Dataset\uff0cStock Indices Data<\/span><\/p>\n


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\u5408\u6210\u6570\u636e\u96c6\uff1aConfounding\/ Common-cause Models\uff0cNon-Linear Models\uff0cDynamic Models\uff0c Chaotic Models<\/span><\/p>\n


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5. \u5176\u4ed6\u76f8\u5173\u94fe\u63a5\u6216\u53c2\u8003<\/strong><\/strong><\/p>\n<\/section>\n

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\u90ed\u82e5\u57ce\uff1a<\/span><\/p>\n

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\u6b22\u8fce\u52a0\u5165\u56e0\u679c\u79d1\u5b66\u793e\u533a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u56e0\u679c\u63a8\u65ad\u4e0e\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u7ed3\u5408\u5df2\u7ecf\u5438\u5f15\u4e86\u8d8a\u6765\u8d8a\u591a\u6765\u81ea\u5b66\u754c\u4e1a\u754c\u7684\u5173\u6ce8\uff0c\u4e3a\u6df1\u5165\u63a2\u8ba8\u3001\u666e\u53ca\u63a8\u5e7f\u56e0\u679c\u79d1\u5b66\u8bae\u9898\uff0c\u667a\u6e90\u793e\u533a\u643a\u624b\u96c6\u667a\u4ff1\u4e50\u90e8\u8fde\u7eed\u4e3e\u529e\u4e86\u4e24\u5b63\u300c<\/span>\u56e0\u679c\u79d1\u5b66\u4e0eCausalAI\u8bfb\u4e66\u4f1a<\/span><\/a>\u300d\uff0c\u7814\u8bfb\u91cd\u8981\u8bba\u6587\u4e0e\u7ecf\u5178\u6559\u6750\u3002<\/span><\/p>\n


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\u76ee\u524d\u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a<\/span>\uff08\u5373\u56e0\u679c\u79d1\u5b66\u793e\u533a\uff09<\/span>\uff0c\u5df2\u7ecf\u6709\u8d85\u8fc7600\u4f4d\u6d77\u5185\u5916\u76f8\u5173\u79d1\u7814\u5de5\u4f5c\u8005\u4ee5\u53ca\u4e92\u8054\u7f51\u4e00\u7ebf\u4ece\u4e1a\u4eba\u5458\u53c2\u4e0e\uff0c\u5982\u679c\u4f60\u4e5f\u5bf9\u8fd9\u4e2a\u4e3b\u9898\u611f\u5174\u8da3\uff0c\u60f3\u8981\u6df1\u5ea6\u5730\u53c2\u4e0e\uff0c\u5c31\u5feb\u52a0\u5165\u6211\u4eec\u5427\uff01<\/span><\/p>\n


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\u8be6\u60c5\u8bf7\u70b9\u51fb\uff1a<\/span><\/section>\n
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