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Natural Analysts in Adaptive Data Analysis Tijana Zrnic joint with Moritz Hardt Adaptivity in Machine Learning Adaptivity in Machine Learning data analyst with training data Adaptivity in Machine Learning model data analyst with


  1. Natural Analysts in Adaptive Data Analysis Tijana Zrnic 
 joint with Moritz Hardt

  2. Adaptivity in Machine Learning

  3. Adaptivity in Machine Learning data analyst 
 with training data

  4. Adaptivity in Machine Learning model data analyst 
 with training data

  5. Adaptivity in Machine Learning model test data set data analyst 
 with training data

  6. Adaptivity in Machine Learning model test data set data analyst 
 with training data accuracy

  7. Adaptivity in Machine Learning model tune hyperparams... test data set data analyst 
 with training data accuracy

  8. Adaptivity in Machine Learning model test data set data analyst 
 with training data accuracy

  9. Adaptivity in Machine Learning model test data set data analyst 
 with training data accuracy

  10. Adaptivity in Machine Learning model tune hyperparams... test data set data analyst 
 with training data accuracy

  11. Adaptivity in Machine Learning model test data set data analyst 
 with training data accuracy

  12. Adaptivity in Machine Learning model test data set data analyst 
 with training data accuracy

  13. Adaptivity in Machine Learning model tune hyperparams... test data set data analyst 
 with training data accuracy

  14. <latexit sha1_base64="btWuKJH9/rCxCKL5tGKBdwWU5A=">AB6HicbVBNS8NAEJ3Ur1q/qh69LBbBU0mqoMeiF48t2FpoQ9lsN+3azSbsToQS+gu8eFDEqz/Jm/GbZuDtj4YeLw3w8y8IJHCoOt+O4W19Y3NreJ2aWd3b/+gfHjUNnGqGW+xWMa6E1DpVC8hQIl7ySa0yiQ/CEY3878hyeujYjVPU4S7kd0qEQoGEUrNbFfrhVdw6ySrycVCBHo1/+6g1ilkZcIZPUmK7nJuhnVKNgk9LvdTwhLIxHfKupYpG3PjZ/NApObPKgISxtqWQzNXfExmNjJlEge2MKI7MsjcT/O6KYbXfiZUkiJXbLEoTCXBmMy+JgOhOUM5sYQyLeythI2opgxtNiUbgrf8ip16reRbXWvKzUb/I4inACp3AOHlxBHe6gAS1gwOEZXuHNeXRenHfnY9FacPKZY/gD5/MH4XeM/A=</latexit> Adaptivity in Machine Learning • After tested models, how well does the final model t generalize? 
 ‣ Depends on how the accuracies are computed

  15. Classical Holdout vs Response Mechanism model data analyst 
 with training data accuracy test data set

  16. Classical Holdout vs Response Mechanism model data analyst 
 with training data accuracy test data set • Reporting exact sample accuracy allows for great overfitting

  17. Classical Holdout vs Response Mechanism model response mechanism 
 for reporting accuracy data analyst 
 with training data accuracy test data set • Reporting exact sample accuracy allows for great overfitting • Better bounds can be obtained by having a non-trivial response mechanism 
 in charge of reporting accuracy on the test data

  18. Main Questions model data analyst 
 with training data accuracy test data set

  19. Main Questions model response mechanism 
 for reporting accuracy data analyst 
 with training data accuracy test data set

  20. Main Questions model response mechanism 
 for reporting accuracy data analyst 
 with training data accuracy test data set How do we construct a mechanism such that its responses generalize to the • population?

  21. Main Questions model response mechanism 
 for reporting accuracy data analyst 
 with training data accuracy test data set How do we construct a mechanism such that its responses generalize to the • population? want 95% reported accuracy on test data ≈ 95% accuracy on fresh data from same population 
 ‣

  22. Main Questions model response mechanism 
 for reporting accuracy data analyst 
 with training data accuracy test data set How do we construct a mechanism such that its responses generalize to the • population? want 95% reported accuracy on test data ≈ 95% accuracy on fresh data from same population 
 ‣ For such a good mechanism, how much does a possibly adversarial analyst overfit? •

  23. Abstraction via Adaptive Data Analysis

  24. Abstraction via Adaptive Data Analysis Framework of Dwork et al. (2015)

  25. Abstraction via Adaptive Data Analysis Framework of Dwork et al. (2015) analyst

  26. Abstraction via Adaptive Data Analysis Framework of Dwork et al. (2015) analyst mechanism

  27. <latexit sha1_base64="uAzqYQ8pfQnZjL0XJEs1v308KOM=">AB83icbVDLSsNAFL2pr1pfVZduBovgqiRV0GXRjcuK9gFNKJPpB06mYR5CX0N9y4UMStP+POv3HSZqGtBwYO59zLPXPClDOlXfbKa2tb2xulbcrO7t7+wfVw6OSowktE0SnsheiBXlTNC2ZprTXiopjkNOu+HkNve7T1QqlohHPU1pEORYBEjWFvJ92OsxwTz7GFWGVRrbt2dA60SryA1KNAaVL/8YUJMTIUmHCvV9xUBxmWmhFOZxXfKJpiMsEj2rdU4JiqIJtnqEzqwxRlEj7hEZz9fdGhmOlpnFoJ/OMatnLxf+8vtHRdZAxkRpNBVkcigxHOkF5AWjIJCWaTy3BRDKbFZExlphoW1Negrf85VXSadS9i3rj/rLWvCnqKMJnMI5eHAFTbiDFrSBQArP8ApvjnFenHfnYzFacoqdY/gD5/MHxZeRgQ=</latexit> <latexit sha1_base64="iVYgqWYpJ7GNWJI9xnYwSPU6ZHk=">ACB3icbVDLSgMxFM34rPU16lKQYBFclZkq6LoxmVF+4DOWDJpg1NMkOSEcowOzf+ihsXirj1F9z5N2baQbT1QODknHu5954gZlRpx/myFhaXldWS2vl9Y3NrW17Z7elokRi0sQRi2QnQIowKkhTU81IJ5YE8YCRdjC6zP32PZGKRuJWj2PiczQNKQYaSP17AOPIz3EiKU3macohz/RnYnyj274lSdCeA8cQtSAQUaPfvT60c4URozJBSXdeJtZ8iqSlmJCt7iSIxwiM0IF1DBeJE+enkjgweGaUPw0iaJzScqL87UsSVGvPAVOZbqlkvF/zuokOz/2UijRODpoDBhUEcwDwX2qSRYs7EhCEtqdoV4iCTC2kSXh+DOnjxPWrWqe1KtXZ9W6hdFHCWwDw7BMXDBGaiDK9ATYDBA3gCL+DVerSerTfrfVq6YBU9e+APrI9vIBKZdQ=</latexit> <latexit sha1_base64="2QmInd+nHO60uhS7AYCvgpiU4a8=">AB6HicbVBNS8NAEJ3Ur1q/qh69LBbBU0mqoMeiF48t2FpoQ9lsJ+3azSbsboQS+gu8eFDEqz/Jm/GbZuDtj4YeLw3w8y8IBFcG9f9dgpr6xubW8Xt0s7u3v5B+fCoreNUMWyxWMSqE1CNgktsGW4EdhKFNAoEPgTj25n/8IRK81jem0mCfkSHkoecUWOlpuyXK27VnYOsEi8nFcjR6Je/eoOYpRFKwTVu5ifEzqgxnAqelXqoxoWxMh9i1VNItZ/ND52SM6sMSBgrW9KQufp7IqOR1pMosJ0RNSO97M3E/7xuasJrP+MySQ1KtlgUpoKYmMy+JgOukBkxsYQyxe2thI2oszYbEo2BG/5VXSrlW9i2qteVmp3+RxFOETuEcPLiCOtxBA1rAOEZXuHNeXRenHfnY9FacPKZY/gD5/MH2F+M9g=</latexit> <latexit sha1_base64="GH4lnl7xiOBJEv5hdGjYXKo68Lw=">AB8nicbVDLSsNAFL3xWeur6tLNYBFclaQKuiy6cVnBPqANZTKdtEMnkzBzI5TQz3DjQhG3fo07/8ZJm4W2Hhg4nHMvc+4JEikMu63s7a+sbm1Xdop7+7tHxWjo7bJk414y0Wy1h3A2q4FIq3UKDk3URzGgWSd4LJXe53nrg2IlaPOE24H9GREqFgFK3U60cUx4zKrDkbVKpuzZ2DrBKvIFUo0BxUvrDmKURV8gkNabnuQn6GdUomOSzcj81PKFsQke8Z6miETd+No8I+dWGZIw1vYpJHP190ZGI2OmUWAn84hm2cvF/7xeiuGNnwmVpMgVW3wUpJgTPL7yVBozlBOLaFMC5uVsDHVlKFtqWxL8JZPXiXtes27rNUfrqN26KOEpzCGVyAB9fQgHtoQgsYxPAMr/DmoPivDsfi9E1p9g5gT9wPn8AiGeRag=</latexit> Abstraction via Adaptive Data Analysis Framework of Dwork et al. (2015) data set S analyst mechanism S ∼ P n P - population distribution - sample size n

  28. <latexit sha1_base64="rslrDZ2B9h+NmotiRJ6kHYRkDtA=">AB6nicbVBNS8NAEJ34WetX1aOXxSJ4KkV9Fj04rGi/YA2lM120y7dbOLuRCihP8GLB0W8+ou8+W/ctjlo64OBx3szMwLEikMu63s7K6tr6xWdgqbu/s7u2XDg6bJk414w0Wy1i3A2q4FIo3UKDk7URzGgWSt4LRzdRvPXFtRKwecJxwP6IDJULBKFrp/rHn9Uplt+LOQJaJl5My5Kj3Sl/dfszSiCtkhrT8dwE/YxqFEzySbGbGp5QNqID3rFU0YgbP5udOiGnVumTMNa2FJKZ+nsio5Ex4yiwnRHFoVn0puJ/XifF8MrPhEpS5IrNF4WpJBiT6d+kLzRnKMeWUKaFvZWwIdWUoU2naEPwFl9eJs1qxTuvVO8uyrXrPI4CHMJnIEHl1CDW6hDAxgM4Ble4c2Rzovz7nzMW1ecfOYI/sD5/AECVI2d</latexit> <latexit sha1_base64="2QmInd+nHO60uhS7AYCvgpiU4a8=">AB6HicbVBNS8NAEJ3Ur1q/qh69LBbBU0mqoMeiF48t2FpoQ9lsJ+3azSbsboQS+gu8eFDEqz/Jm/GbZuDtj4YeLw3w8y8IBFcG9f9dgpr6xubW8Xt0s7u3v5B+fCoreNUMWyxWMSqE1CNgktsGW4EdhKFNAoEPgTj25n/8IRK81jem0mCfkSHkoecUWOlpuyXK27VnYOsEi8nFcjR6Je/eoOYpRFKwTVu5ifEzqgxnAqelXqoxoWxMh9i1VNItZ/ND52SM6sMSBgrW9KQufp7IqOR1pMosJ0RNSO97M3E/7xuasJrP+MySQ1KtlgUpoKYmMy+JgOukBkxsYQyxe2thI2oszYbEo2BG/5VXSrlW9i2qteVmp3+RxFOETuEcPLiCOtxBA1rAOEZXuHNeXRenHfnY9FacPKZY/gD5/MH2F+M9g=</latexit> <latexit sha1_base64="uAzqYQ8pfQnZjL0XJEs1v308KOM=">AB83icbVDLSsNAFL2pr1pfVZduBovgqiRV0GXRjcuK9gFNKJPpB06mYR5CX0N9y4UMStP+POv3HSZqGtBwYO59zLPXPClDOlXfbKa2tb2xulbcrO7t7+wfVw6OSowktE0SnsheiBXlTNC2ZprTXiopjkNOu+HkNve7T1QqlohHPU1pEORYBEjWFvJ92OsxwTz7GFWGVRrbt2dA60SryA1KNAaVL/8YUJMTIUmHCvV9xUBxmWmhFOZxXfKJpiMsEj2rdU4JiqIJtnqEzqwxRlEj7hEZz9fdGhmOlpnFoJ/OMatnLxf+8vtHRdZAxkRpNBVkcigxHOkF5AWjIJCWaTy3BRDKbFZExlphoW1Negrf85VXSadS9i3rj/rLWvCnqKMJnMI5eHAFTbiDFrSBQArP8ApvjnFenHfnYzFacoqdY/gD5/MHxZeRgQ=</latexit> <latexit sha1_base64="iVYgqWYpJ7GNWJI9xnYwSPU6ZHk=">ACB3icbVDLSgMxFM34rPU16lKQYBFclZkq6LoxmVF+4DOWDJpg1NMkOSEcowOzf+ihsXirj1F9z5N2baQbT1QODknHu5954gZlRpx/myFhaXldWS2vl9Y3NrW17Z7elokRi0sQRi2QnQIowKkhTU81IJ5YE8YCRdjC6zP32PZGKRuJWj2PiczQNKQYaSP17AOPIz3EiKU3macohz/RnYnyj274lSdCeA8cQtSAQUaPfvT60c4URozJBSXdeJtZ8iqSlmJCt7iSIxwiM0IF1DBeJE+enkjgweGaUPw0iaJzScqL87UsSVGvPAVOZbqlkvF/zuokOz/2UijRODpoDBhUEcwDwX2qSRYs7EhCEtqdoV4iCTC2kSXh+DOnjxPWrWqe1KtXZ9W6hdFHCWwDw7BMXDBGaiDK9ATYDBA3gCL+DVerSerTfrfVq6YBU9e+APrI9vIBKZdQ=</latexit> <latexit sha1_base64="GH4lnl7xiOBJEv5hdGjYXKo68Lw=">AB8nicbVDLSsNAFL3xWeur6tLNYBFclaQKuiy6cVnBPqANZTKdtEMnkzBzI5TQz3DjQhG3fo07/8ZJm4W2Hhg4nHMvc+4JEikMu63s7a+sbm1Xdop7+7tHxWjo7bJk414y0Wy1h3A2q4FIq3UKDk3URzGgWSd4LJXe53nrg2IlaPOE24H9GREqFgFK3U60cUx4zKrDkbVKpuzZ2DrBKvIFUo0BxUvrDmKURV8gkNabnuQn6GdUomOSzcj81PKFsQke8Z6miETd+No8I+dWGZIw1vYpJHP190ZGI2OmUWAn84hm2cvF/7xeiuGNnwmVpMgVW3wUpJgTPL7yVBozlBOLaFMC5uVsDHVlKFtqWxL8JZPXiXtes27rNUfrqN26KOEpzCGVyAB9fQgHtoQgsYxPAMr/DmoPivDsfi9E1p9g5gT9wPn8AiGeRag=</latexit> Abstraction via Adaptive Data Analysis Framework of Dwork et al. (2015) query q 1 S analyst mechanism data set S ∼ P n q i : supp( P ) → [0 , 1] d - queries posed by analyst P - population distribution - sample size n

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