{"id":"W4211244366","doi":"10.1017/9781108571401.035","title":"Follow-the-regularised-Leader and Mirror Descent","year":2020,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Descent (aeronautics); Mathematics; Computer science; Geology; Physics; Meteorology","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":[0.0006447444,0.0007603264,0.0008517688,0.0003110645,0.0004356463,0.001185467,0.001213812,0.001001745,0.02462056],"category_scores_gemma":[0.003165878,0.0003107876,0.0006378268,0.0006645597,0.0007133132,0.00136424,0.0009817648,0.001955769,0.009708536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006004018,"about_ca_system_score_gemma":0.0009963367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281802,"about_ca_topic_score_gemma":0.00239816,"domain_scores_codex":[0.9997242,0.00007595322,0.00001175852,0.00006741312,0.00008175571,0.00003891161],"domain_scores_gemma":[0.9995198,0.0002433225,0.00002567596,0.000109164,0.00006255645,0.00003953571],"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":[0.0001443319,0.00008156738,0.0004167036,0.000325873,0.00006620045,0.000148595,0.000101486,0.1160664,0.001455138,0.5138674,0.1165558,0.2507704],"study_design_scores_gemma":[0.00005044014,0.0001144275,0.0003136648,0.00009545777,0.00002547251,0.0002151557,0.00003822342,0.3988202,0.001251939,0.5321205,0.06692114,0.00003328206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006632921,0.003400999,0.8419366,0.001695024,0.001358756,0.0000850833,0.0004563574,0.001016323,0.143418],"genre_scores_gemma":[0.2811551,0.005356695,0.3332393,0.001301586,0.001097054,0.0003185668,0.001400587,0.00168301,0.374448],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02462056,"threshold_uncertainty_score":0.08236396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1343257062183028,"score_gpt":0.3090176496624845,"score_spread":0.1746919434441816,"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."}}