{"id":"W4387869921","doi":"10.1109/icc45041.2023.10279145","title":"Reservation of Virtualized Resources with Optimistic Online Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"National Natural Science Foundation of China; Science Foundation Ireland; European Commission; Santa Fe Institute","keywords":"Reservation; Computer science; Regret; Service (business); Lease; Key (lock); Network virtualization; Virtualization; Computer network; Operations research; Machine learning; Computer security; 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":[0.002000737,0.000831848,0.001267939,0.0003372493,0.0006107626,0.001539228,0.00187968,0.001111991,0.002320591],"category_scores_gemma":[0.005417768,0.0005988009,0.0004261616,0.000384437,0.001277793,0.001638235,0.001553118,0.00161683,0.0004260478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297165,"about_ca_system_score_gemma":0.002262749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004400104,"about_ca_topic_score_gemma":0.004026735,"domain_scores_codex":[0.9987807,0.0004497928,0.00005418067,0.0002283825,0.0002285717,0.000258342],"domain_scores_gemma":[0.9965512,0.002162491,0.0004114089,0.0003340462,0.0003074523,0.0002333936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002021245,0.00006139655,0.000500386,0.000029891,0.00001918353,0.00006228779,0.00005468153,0.9747499,0.0004503375,0.008371115,0.0007675714,0.01473113],"study_design_scores_gemma":[0.000007667098,0.000009254047,0.00001658467,0.000001631126,0.000001757263,0.000004198844,0.000004855875,0.9973864,0.0001268214,0.002366173,0.00007259018,0.000002029522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08777603,0.0004318801,0.9033304,0.00107464,0.00009111395,0.00008500395,0.00008908023,0.0008628964,0.006258925],"genre_scores_gemma":[0.9655898,0.00007756193,0.03223586,0.0001637798,0.0000320689,0.00004681245,0.00005263696,0.0000314381,0.001770043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004400104,"threshold_uncertainty_score":0.01058102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2099910303294296,"score_gpt":0.4727449675016023,"score_spread":0.2627539371721727,"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."}}