{"id":"W4211172573","doi":"10.1017/9781108571401.030","title":"Minimax Lower Bounds for Stochastic Linear Bandits","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":"Minimax; Mathematics; Mathematical optimization; Computer science; Applied mathematics","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":[0.004571881,0.002324796,0.002306197,0.002094271,0.001075466,0.006021472,0.002354315,0.002599215,0.02910468],"category_scores_gemma":[0.02585424,0.0008824752,0.001280605,0.003069663,0.002425211,0.004937583,0.002832511,0.007749389,0.008112743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003497393,"about_ca_system_score_gemma":0.001565426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287711,"about_ca_topic_score_gemma":0.001732122,"domain_scores_codex":[0.9973832,0.0009106391,0.0001030436,0.000345044,0.0009583322,0.0002997017],"domain_scores_gemma":[0.985052,0.01222371,0.0004173327,0.001035786,0.0009618014,0.0003093914],"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":[0.0001231357,0.00006586067,0.0002689075,0.0004272379,0.00007498034,0.00005278299,0.00008798939,0.07560831,0.0008684159,0.8060806,0.03704445,0.07929745],"study_design_scores_gemma":[0.0000219105,0.00004786728,0.0003037827,0.0002953244,0.00003126524,0.00007202979,0.00003457498,0.1942701,0.0008243193,0.7831687,0.0209012,0.00002883101],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01031923,0.0278392,0.7112482,0.007313864,0.001823647,0.00009508332,0.001399879,0.001029726,0.2389313],"genre_scores_gemma":[0.4504023,0.04563119,0.2380092,0.00519147,0.006273827,0.001548761,0.003662003,0.003126554,0.2461547],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02910468,"threshold_uncertainty_score":0.09736484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205441287702523,"score_gpt":0.3339099261002477,"score_spread":0.2133657973299954,"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."}}