{"id":35540,"date":"2022-06-30T20:07:57","date_gmt":"2022-06-30T12:07:57","guid":{"rendered":"https:\/\/swarma.org\/?p=35540"},"modified":"2022-06-30T20:07:57","modified_gmt":"2022-06-30T12:07:57","slug":"causalml%ef%bc%9a%e5%a6%82%e4%bd%95%e5%b0%86%e5%9b%a0%e6%9e%9c%e6%8e%a8%e6%96%ad%e4%b8%8e%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e7%bb%93%e5%90%88%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=35540","title":{"rendered":"CausalML\uff1a\u5982\u4f55\u5c06\u56e0\u679c\u63a8\u65ad\u4e0e\u673a\u5668\u5b66\u4e60\u7ed3\u5408\uff1f"},"content":{"rendered":"
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<\/strong>\u56e0\u679c\u63a8\u65ad\u548c\u673a\u5668\u5b66\u4e60\uff08ML\uff09\u8fd9\u4e24\u4e2a\u9886\u57df\u957f\u671f\u4ee5\u6765\u5404\u81ea\u53d1\u5c55\u58ee\u5927\u3002\u7136\u800c\uff0c\u968f\u7740\u673a\u5668\u5b66\u4e60\u7684\u53d1\u5c55\u8d8a\u6765\u8d8a\u5feb\uff0c\u9010\u6e10\u9047\u5230\u7528\u5355\u7eaf\u7684\u7edf\u8ba1\u53bb\u6355\u6349\u76f8\u5173\u6027\u7684\u4e0d\u8db3\u4e4b\u5904\uff0c\u8868\u660e\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5176\u5b9e\u5e76\u6ca1\u6709\u5b66\u5230\u4eba\u7c7b\u505a\u540c\u7c7b\u5224\u65ad\u65f6\u7684\u56e0\u679c\u63a8\u65ad\u8fc7\u7a0b\u3002\u5c06\u56e0\u679c\u63a8\u65ad\u4e0e\u673a\u5668\u5b66\u4e60\u7ed3\u5408\uff0c\u901a\u8fc7\u63a2\u7a76\u53d8\u91cf\u95f4\u7684\u56e0\u679c\u5173\u7cfb\uff0c\u80fd\u591f\u5e2e\u52a9\u673a\u5668\u5b66\u4e60\u83b7\u5f97\u6cdb\u5316\u5206\u5e03\u5916\u7684\u573a\u666f\u7684\u80fd\u529b\u3002<\/span><\/strong><\/p>\n


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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u96f6\u7280\u79d1\u6280\u63a8\u51fa\u56e0\u679c\u6d3e\u54c1\u724c\u5e76\u7b56\u5212\u7cfb\u5217\u6d3b\u52a8\u30027\u67082\u65e514:00-17:00\u56e0\u679c\u6d3e\u8bba\u575b\u7b2c\u4e00\u671f\u300c\u56e0\u679c\u9769\u547d\u2014\u2014\u4e0b\u4e00\u4ee3\u53ef\u4fe1AI<\/a>\u300d\u4e0a\uff0c\u6211\u4eec\u9080\u8bf7\u5230\u6e05\u534e\u5927\u5b66\u5d14\u9e4f\u8001\u5e08\u3001\u91cd\u5e86\u5927\u5b66\u5218\u793c\u8001\u5e08\u4ee5\u53ca\u96f6\u7280\u79d1\u6280\u9996\u5e2d\u79d1\u5b66\u5bb6\u5f20\u529b\u8fdb\u884c\u76f8\u5173\u4e3b\u9898\u62a5\u544a\uff0c\u63a2\u8ba8\u667a\u80fd\u670d\u52a1\u4e2d\u6240\u9762\u4e34\u7684\u56e0\u679c\u95ee\u9898\uff0c\u4ee5\u53ca\u5f53\u524d\u5b66\u672f\u754c\u524d\u6cbf\u7684\u5e94\u5bf9\u65b9\u6cd5\uff0c\u6b22\u8fce\u5404\u4f4d\u5b66\u8005\u3001\u4e1a\u754c\u7684\u4ece\u4e1a\u8005\u7b49\u52a0\u5165\u8ba8\u8bba\uff01\u8be6\u60c5\u89c1\u6587\u672b\u3002<\/strong><\/span><\/strong><\/p>\n


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\u7814\u7a76\u9886\u57df\uff1a\u56e0\u679c\u63a8\u65ad\uff0c\u673a\u5668\u5b66\u4e60\uff0cNLP<\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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\u5728\u96c6\u667a\u4ff1\u4e50\u90e8\u300c\u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a\u7b2c\u4e09\u5b63\u7b2c\u5341\u4e94\u671f<\/a><\/span>\u300d\uff0c\u6765\u81ea\u9a6c\u666e\u6240\u548c ETH \u7684\u91d1\u81f4\u9759\u535a\u58eb \u4ece Bernhard Schoelkopf \u548c Yoshua Bengio \u5bf9\u56e0\u679c\u63a8\u65ad\u548c\u673a\u5668\u5b66\u4e60\u7ed3\u5408\u7684\u84dd\u56fe \u201cTowards Causal Representation Learning\u201d \u548c \u201cCausality for Machine Learning\u201d \u51fa\u53d1\uff0c\u4ecb\u7ecd\u4e86\u56e0\u679c\u63a8\u65ad\u548c\u673a\u5668\u5b66\u4e60\u7ed3\u5408\u7684\u6f5c\u529b\uff0c\u5e76\u5177\u4f53\u63a2\u8ba8\u4e86\u56e0\u679c\u6a21\u578b\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u4e0a\u7684\u5e94\u7528\u573a\u666f\u548c\u672a\u6765\u65b9\u5411\u3002\u672c\u6587\u662f\u6b64\u6b21\u5206\u4eab\u7684\u6587\u5b57\u6574\u7406\u3002<\/span><\/p>\n


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\u8bba\u6587\u9898\u76ee\uff1aTowards Causal Representation Learning<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2102.11107<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u8bba\u6587\u9898\u76ee\uff1aCausality for Machine Learning<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/1911.10500<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

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1. \u4e3a\u4ec0\u4e48\u673a\u5668\u5b66\u4e60\u9700\u8981\u7ed3\u5408\u56e0\u679c\uff1f<\/span><\/strong><\/span><\/h1>\n


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2. \u56e0\u679c\u5b66\u4e60\u4e0e\u53cd\u56e0\u679c\u5b66\u4e60<\/span><\/strong><\/span>
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3. \u72ec\u7acb\u56e0\u679c\u673a\u5236\u4e0e\u56e0\u679c\u65b9\u5411\u8bc6\u522b<\/span><\/strong><\/span><\/section>\n

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\u5f53\u6211\u4eec\u5c06\u56e0\u679c\u5173\u7cfb\u7b80\u5316\u4e3a\u4e24\u4e2a\u53d8\u91cf\u65f6\uff0c\u53ef\u4ee5\u7528\u4e0a\u56fe\u8868\u793a\u56e0\u548c\u679c\u7684\u5173\u7cfb\uff0c\u539f\u56e0C\u566a\u58f0N<\/span>E<\/sub><\/span>\u901a\u8fc7\u67d0\u79cd\u56e0\u679c\u673a\u5236\u751f\u6210\u4e86\u67d0\u79cd\u7ed3\u679cE\uff0cf( \u00b7 ,NE<\/span><\/sub><\/span>)\u7528\u6765\u6570\u5b66\u5316\u5730\u8868\u793a\u8be5\u56e0\u679c\u673a\u5236\u3002\u72ec\u7acb\u56e0\u679c\u673a\u5236\u5373\u662f\u8bf4\uff0c\u5bf9\u4e8e\u67d0\u4e2a\u4efb\u52a1\uff0c\u56e0\u679c\u673a\u5236 f( \u00b7 ,NE<\/span><\/sub><\/span>) \u548c\u539f\u56e0C\u662f\u72ec\u7acb\u7684\u3002\u76f8\u53cd\uff0c\u5f53\u6211\u4eec\u4ece\u7ed3\u679c\u751f\u6210\u539f\u56e0\u65f6\uff0c\u523b\u753b\u8fd9\u4e00\u751f\u6210\u8fc7\u7a0b\u7684\u53cd\u56e0\u679c\u673a\u5236\uff0c\u5f80\u5f80\u548c\u7ed3\u679c\u4e0d\u72ec\u7acb\u3002<\/span><\/section>\n

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\u5728\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u4e2d\uff0c\u6211\u4eec\u5e76\u6ca1\u6709\u53bb\u5173\u6ce8\u56e0\u679c\u7684\u65b9\u5411\u3002\u4f46\u53ef\u4ee5\u60f3\u89c1\uff0c\u5982\u679c\u6211\u4eec\u7684\u6a21\u578b\u5efa\u6a21\u65b9\u5f0f\u662f\u53cd\u56e0\u679c\u5b66\u4e60\u7684\uff0c\u6a21\u578b\u5b66\u4e60\u5230\u7684\u662f\u53cd\u56e0\u679c\u673a\u5236\uff0c\u5b83\u5c06\u548c\u8f93\u51fa\uff0c\u4e5f\u5c31\u662f\u7ed3\u679c\u4e0d\u72ec\u7acb\uff0c\u90a3\u6a21\u578b\u5c06\u975e\u5e38\u4f9d\u8d56\u4e8e\u8f93\u5165\u6570\u636e\uff0c\u96be\u4ee5\u83b7\u5f97\u7a33\u5065\u7684\u6cdb\u5316\u5230\u5206\u5e03\u5916\u573a\u666f\u7684\u80fd\u529b\u4e5f\u5c31\u53ef\u4ee5\u7406\u89e3\u4e86\u3002<\/span><\/section>\n

<\/section>\n
\u6240\u4ee5\u7b2c\u4e00\u6b65\uff0c\u6211\u4eec\u8981\u53bb\u8bc6\u522b\u51fa\u6a21\u578b\u8f93\u5165\u548c\u8f93\u51fa\u95f4\u7684\u56e0\u679c\u65b9\u5411\u3002\u5728\u4e00\u4e9b\u573a\u666f\u4e0b\uff0c\u56e0\u679c\u7684\u65b9\u5411\u662f\u663e\u7136\u7684\uff0c\u6bd4\u5982\u524d\u9762\u63d0\u5230\u7684\u7ffb\u8bd1\u7684\u4f8b\u5b50\u3002\u4f46\u5f88\u591a\u65f6\u5019\uff0c\u6a21\u578b\u4e2d\u6709\u5f88\u591a\u53d8\u91cf\u751a\u81f3\u662f\u9ad8\u7ef4\u53d8\u91cf\uff0c\u6211\u4eec\u65e0\u6cd5\u901a\u8fc7\u5c1d\u8bd5\u53bb\u5224\u522b\u56e0\u679c\u5173\u7cfb\u548c\u65b9\u5411\u3002\u4f46\u5e78\u8fd0\u7684\u662f\uff0c\u56e0\u679c\u7684\u6709\u5411\u6027\u4f1a\u7559\u4e0b\u4e00\u4e9b\u75d5\u8ff9\uff0c\u53cd\u6620\u5728\u4fe1\u606f\u91cf<\/span>\uff08\u590d\u6742\u5ea6\uff09<\/span>\u4e0a\uff1a<\/span><\/section>\n

<\/span><\/section>\n
<\/span><\/section>\n

<\/span><\/section>\n
\u5728\u8fd9\u4e2a\u5f0f\u5b50\u4e2d\uff0c\u6211\u4eec\u7528 Kolmogorov \u590d\u6742\u5ea6 K( \u00b7 ) \u6765\u8868\u793a\u4fe1\u606f\u91cf\u3002\u65e0\u8bba\u662f\u53d8\u91cf\u8fd8\u662f\u673a\u5236\uff0c\u90fd\u53ef\u4ee5\u88ab\u8868\u5f81\u4e3a\u5b57\u7b26\u4e32\u3002\u4e00\u4e2a\u5f88\u957f\u7684\u5b57\u7b26\u4e32\u4e0d\u4e00\u5b9a\u5177\u6709\u5f88\u5927\u7684\u4fe1\u606f\u91cf\uff0c\u6bd4\u5982\u201d0101010101010101010101010101010101010101010101010101010101010101″\uff0c\u5b83\u4ec5\u4ec5\u662f\u201c01\u91cd\u590d32\u6b21\u201d<\/span>\uff08\u5b83\u6bd4\u524d\u4e00\u4e2a\u5b57\u7b26\u4e32\u8981\u77ed\u5f88\u591a\uff09<\/span>\uff0c\u56e0\u6b64 Kolmogoro<\/strong>v \u590d\u6742\u5ea6<\/span>\u5c06\u5b57\u7b26\u4e32x\u7684\u4fe1\u606f\u91cf\u5b9a\u4e49\u4e3a\u201c\u80fd\u591f\u8ba1\u7b97\u6216\u8f93\u51fax\u7684\u6700\u77ed\u7a0b\u5e8f\u7684\u957f\u5ea6\u201d\u3002\u6211\u4eec\u6682\u65f6\u4e0d\u53bb\u5173\u5fc3\u7a0b\u5e8f\u600e\u6837\u88ab\u7f16\u5199\u548c\u6267\u884c\uff0c\u800c\u53ea\u662f\u501f\u52a9\u201c\u7a0b\u5e8f\u201d\u6765\u5b9a\u4e49\u4fe1\u606f\u91cf\uff0c\u6240\u4ee5\u8fd9\u662f\u4e00\u79cd\u201c\u7b97\u6cd5\u4fe1\u606f\u91cf\u201d\u3002<\/span><\/section>\n

<\/section>\n
\u800c\u4e0a\u8ff0\u5f0f\u5b50\u7684\u542b\u4e49\u5c31\u662f\uff0c\u56e0-\u679c PC,E<\/span><\/sub><\/span>\u53ef\u4ee5\u88ab\u72ec\u7acb\u5730\u5206\u89e3\u4e3a\u539f\u56e0 PC<\/span><\/sub><\/span> \u548c\u56e0\u679c\u673a\u5236 PE|C<\/span><\/sub><\/span>\uff0c\u56e0\u4e3a\u4e24\u8005\u662f\u72ec\u7acb\u7684\uff0c\u5e76\u4e0d\u5171\u4eab\u4fe1\u606f\uff0c\u6240\u4ee5\u5f0f\u5b50\u7684\u4e0a\u9762\u662f\u7b49\u53f7\uff1b\u800c\u5c06\u56e0-\u679c P<\/span>C,E<\/sub><\/span> \u5206\u89e3\u4e3a\u7ed3\u679c PE<\/span><\/sub><\/span> \u548c\u53cd\u56e0\u679c\u673a\u5236 PC|E<\/span><\/sub><\/span> \u65f6\uff0c\u4e24\u8005\u975e\u72ec\u7acb\u3001\u4fe1\u606f\u5171\u4eab\uff0c\u56e0\u6b64\u5c06\u5b83\u4eec\u7684\u4fe1\u606f\u91cf\u52a0\u548c\u5f97\u5230\u7684\u7ed3\u679c\u5927\u4e8e K(P<\/span>C,E<\/sub><\/span>)\u3002<\/span><\/section>\n

<\/span><\/section>\n
4. \u72ec\u7acb\u56e0\u679c\u673a\u5236\u5728\u673a\u5668\u5b66\u4e60\u5b9e\u8df5\u4e2d\u7684\u4f53\u73b0<\/span><\/strong><\/span><\/section>\n

<\/section>\n
\u4e00\u4e2a\u5173\u4e8e\u673a\u5668\u7ffb\u8bd1\u7684\u5b9e\u9a8c\u53c2\u8003\u6587\u732e\u9a8c\u8bc1\u4e86\u4e0a\u8ff0\u7684\u4e0d\u7b49\u5173\u7cfb\u3002\u5b9e\u9a8c\u4e2d\uff0c\u7814\u7a76\u8005\u7528\u6700\u5c0f\u63cf\u8ff0\u957f\u5ea6<\/span>\uff08Minimum Description Length\uff0cMDL\uff09<\/span>\u6765\u8fd1\u4f3cKolmogorov \u590d\u6742\u5ea6\u3002\u7814\u7a76\u8005\u83b7\u53d6\u4e86\u82f1\u8bed-\u897f\u73ed\u7259\u8bed\u3001\u82f1\u8bed-\u6cd5\u8bed\u3001\u897f\u73ed\u7259\u8bed-\u6cd5\u8bed\uff0c\u5171\u4e09\u5bf9\u516d\u5411\u7684\u7ffb\u8bd1\u6570\u636e\u96c6\uff0c\u5206\u522b\u8ba1\u7b97\u4e86\u56e0\u3001\u679c\u3001\u56e0\u679c\u673a\u5236\u3001\u53cd\u56e0\u679c\u673a\u5236\u7684\u6700\u5c0f\u63cf\u8ff0\u957f\u5ea6\uff0c\u6bd4\u8f83\u4e86\u56e0\u679c\u5206\u89e3\u548c\u53cd\u56e0\u679c\u5206\u89e3\u4e0b\u7684\u4fe1\u606f\u91cf\uff0c\u5b9e\u9a8c\u7ed3\u679c\u5927\u4f53\u4e0e\u7b97\u6cd5\u4fe1\u606f\u91cf\u4e0d\u7b49\u5f0f\u543b\u5408\u3002<\/span><\/section>\n

<\/span><\/section>\n
<\/span><\/section>\n

<\/section>\n
\u5bf9\u4e8e\u534a\u76d1\u7763\u5b66\u4e60\u6765\u8bf4\uff0c\u6211\u4eec\u5e0c\u671b\u901a\u8fc7\u65e0\u6807\u7b7e\u6837\u672c\u4e2d\u7684\u4fe1\u606f\u6765\u5e2e\u52a9\u6a21\u578b\u5b66\u4e60\uff0c\u800c\u8fd9\u662f\u9002\u7528\u4e8e\u53cd\u56e0\u679c\u5b66\u4e60\u4efb\u52a1\u7684\u3002\u6b64\u65f6\u65e0\u6807\u7b7e\u6837\u672c\u662f\u201c\u679c\u201d\uff0c\u6a21\u578b\u8981\u5b66\u4e60\u7684\u662f\u53cd\u56e0\u679c\u673a\u5236\uff0c\u4e24\u8005\u4e4b\u95f4\u5e76\u4e0d\u72ec\u7acb\uff0c\u6709\u5171\u4eab\u7684\u4fe1\u606f\uff0c\u6240\u4ee5\u534a\u76d1\u7763\u5b66\u4e60\u5728\u53cd\u56e0\u679c\u5b66\u4e60\u7684\u4efb\u52a1\u4e2d\u66f4\u80fd\u63d0\u9ad8\u6a21\u578b\u7684\u8868\u73b0<\/strong><\/span>\uff081.70% vs 0.04%\uff0c\u53cd\u56e0\u679c vs \u56e0\u679c\uff09<\/span>\u3002<\/span><\/section>\n

<\/section>\n
\u800c\u5bf9\u4e8e\u9886\u57df\u8fc1\u79fb\u6765\u8bf4\uff0c\u6211\u4eec\u5e0c\u671b\u6a21\u578b\u5b66\u5230\u7684\u673a\u5236\u80fd\u591f\u5c3d\u53ef\u80fd\u72ec\u7acb\u4e8e\u6a21\u578b\u7684\u8f93\u5165<\/span>\uff08\u4e0d\u540c\u7684\u9886\u57df\uff09<\/span>\uff0c\u800c\u56e0\u679c\u673a\u5236\u548c\u201c\u56e0\u201d\u6b63\u662f\u72ec\u7acb\u7684\u3002\u56e0\u6b64\u56e0\u679c\u5b66\u4e60\u7684\u4efb\u52a1\u5728\u9886\u57df\u8fc1\u79fb\u65f6\u4f1a\u6709\u66f4\u597d\u7684\u8868\u73b0<\/strong><\/span>\uff085.18%vs1.26%\uff0c\u53cd\u56e0\u679cvs\u56e0\u679c\uff09<\/span>\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u6b64\u5916\uff0c\u65e0\u8bba\u662f\u6570\u636e\u6536\u96c6\u8fc7\u7a0b\u8fd8\u662f\u6a21\u578b\u5efa\u6a21\u8fc7\u7a0b\uff0c\u5c06\u56e0\u679c\u5173\u7cfb\u7eb3\u5165\u8003\u8651\uff0c\u90fd\u80fd\u591f\u5e2e\u52a9\u673a\u5668\u66f4\u597d\u5730\u5b66\u4e60\u3002\u6bd4\u5982\u5728\u6536\u96c6\u6570\u636e\u65f6\u6807\u6ce8\u8f93\u5165\u8f93\u51fa\u4f55\u4e3a\u56e0\u4f55\u4e3a\u679c\uff0c\u6216\u662f\u6807\u6ce8\u56e0\u679c\u548c\u53cd\u56e0\u679c\u7684\u4efb\u52a1\u5e76\u5728\u6a21\u578b\u4e2d\u89e6\u53d1\u4e0d\u540c\u7684\u6a21\u578b\u884c\u4e3a\u7b49\uff0c\u90fd\u662f\u53ef\u4ee5\u52a0\u4ee5\u6539\u8fdb\u7684\u65b9\u5411\u3002<\/span><\/section>\n


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Part 2  <\/strong><\/p>\n

\u56e0\u679c\u4e0e\u81ea\u7136\u8bed\u8a00\u5904\u7406Causal-NLP<\/strong><\/p>\n<\/section>\n

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<\/p>\n

\u5177\u4f53\u5230\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u4efb\u52a1\u4e0a\uff0c\u53ef\u4ee5\u6709\u8fd9\u4e09\u79cd\u7ed3\u5408\u56e0\u679c\u7684\u6a21\u5f0f\uff1a<\/span><\/p>\n