{"id":"W3213203216","doi":"","title":"An Empirical Study of Neural Kernel Bandits","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Thompson sampling; Machine learning; Artificial intelligence; Gaussian process; Bayesian probability; Kernel (algebra); Artificial neural network; Deep neural networks; Process (computing); Gaussian; 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":[0.01285978,0.0009362485,0.00189921,0.001483412,0.0013932,0.002811427,0.002068139,0.002031256,0.006936247],"category_scores_gemma":[0.1187489,0.0005161399,0.0007745351,0.002104529,0.003639047,0.006161436,0.002269783,0.004657806,0.0007321659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002324657,"about_ca_system_score_gemma":0.001111858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003980045,"about_ca_topic_score_gemma":0.003116577,"domain_scores_codex":[0.9955969,0.002834612,0.0002081086,0.0005510948,0.0005439285,0.0002653856],"domain_scores_gemma":[0.9105744,0.07536548,0.004089285,0.005905509,0.003039458,0.001025777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008297003,0.0004167633,0.03829908,0.0005904123,0.0003087319,0.0004072511,0.0006561257,0.4247983,0.0009281132,0.433111,0.01542849,0.08422584],"study_design_scores_gemma":[0.00007842545,0.0001274179,0.005363809,0.0002063453,0.00004331994,0.0002311956,0.0002947223,0.7806073,0.0006179503,0.2081942,0.004194574,0.00004067852],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5697341,0.01358901,0.3824485,0.007696079,0.0002794268,0.0001952263,0.001108484,0.0009863315,0.02396294],"genre_scores_gemma":[0.9781303,0.001340733,0.01701863,0.0002854939,0.0001306055,0.000112361,0.000705047,0.0001332226,0.002143564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01285978,"threshold_uncertainty_score":0.06800979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3374988530824604,"score_gpt":0.3759152304890423,"score_spread":0.03841637740658188,"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."}}