{"id":"W2904474531","doi":"10.1609/aaai.v33i01.33013143","title":"An Exponential Tail Bound for the Deleted Estimate","year":2019,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Generalization; Stability (learning theory); Mathematics; Exponential function; Applied mathematics; Upper and lower bounds; Computation; Distribution (mathematics); Exponential family; Computer science; Mathematical analysis; Algorithm; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01421363,0.00246513,0.002195613,0.002510826,0.001427044,0.0040944,0.00605551,0.00335429,0.008484288],"category_scores_gemma":[0.1339002,0.001074349,0.002352307,0.00149397,0.006005062,0.01453063,0.007740474,0.0126327,0.00258154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004866576,"about_ca_system_score_gemma":0.002365137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001846259,"about_ca_topic_score_gemma":0.001503511,"domain_scores_codex":[0.9919264,0.00241099,0.0004236,0.002028449,0.00250705,0.0007036155],"domain_scores_gemma":[0.8798577,0.09349077,0.00463973,0.009832402,0.01036034,0.001819105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008311254,0.0002320829,0.007333373,0.0007728271,0.0002830989,0.0008524131,0.001078274,0.2263911,0.01234988,0.6652337,0.01023897,0.07440312],"study_design_scores_gemma":[0.00004249418,0.0001882357,0.001268309,0.0002249818,0.00009281025,0.0004039163,0.0001014205,0.6560398,0.006255516,0.33027,0.005037188,0.00007542938],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01935327,0.001942779,0.967279,0.002819933,0.0001812724,0.0001004647,0.0002997486,0.0004375835,0.007585904],"genre_scores_gemma":[0.6822454,0.005767317,0.279787,0.004819037,0.001464535,0.001007673,0.001736284,0.001520439,0.02165238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01421363,"threshold_uncertainty_score":0.0751698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04738441104690382,"score_gpt":0.3171814263374796,"score_spread":0.2697970152905758,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}