{"id":"W2991356711","doi":"","title":"Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes","year":2019,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bayes' theorem; Bayesian probability; Computer science; Generalization; Mathematics; Algorithm; Artificial intelligence","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":[0.01375076,0.002834296,0.002420754,0.00336946,0.001862832,0.004830049,0.003846452,0.002743007,0.009008506],"category_scores_gemma":[0.07347581,0.001353548,0.002471702,0.002248038,0.005412855,0.01462965,0.007119018,0.009858217,0.002371548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005454604,"about_ca_system_score_gemma":0.002716498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003460601,"about_ca_topic_score_gemma":0.002994702,"domain_scores_codex":[0.9926763,0.002482798,0.0002696069,0.001250302,0.002691147,0.0006298281],"domain_scores_gemma":[0.9550938,0.03468132,0.001878292,0.003938522,0.003484013,0.0009241331],"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":[0.00004932997,0.0000300822,0.0004112103,0.0001088927,0.00003338775,0.0000701157,0.0001917929,0.06383092,0.0007209465,0.9118209,0.002298781,0.0204335],"study_design_scores_gemma":[0.000008952522,0.00002466946,0.0001827129,0.00005526559,0.00001834041,0.00006986719,0.00002332246,0.3212841,0.0006064404,0.6749672,0.002728471,0.00003055271],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008788654,0.001993671,0.9717389,0.00156525,0.0001567074,0.00007368955,0.0001572856,0.0003017847,0.01522405],"genre_scores_gemma":[0.5492722,0.006310536,0.4118959,0.002830316,0.001589994,0.0008805494,0.0006757677,0.001363589,0.02518103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01375076,"threshold_uncertainty_score":0.07272184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0475650253808451,"score_gpt":0.3282503884662163,"score_spread":0.2806853630853712,"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."}}