{"id":"W6980163407","doi":"","title":"Bayesian optimization to solve black box problems with hidden constraints","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Black box; Bayesian probability; Bayesian optimization; Constraint (computer-aided design); Optimization problem; Constrained optimization","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":[0.006685827,0.001965288,0.003029455,0.001298998,0.0006530129,0.002129329,0.001925065,0.004235907,0.006777556],"category_scores_gemma":[0.0245185,0.002162617,0.001426901,0.001730418,0.002345545,0.003630989,0.003101496,0.004746403,0.0007903847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578786,"about_ca_system_score_gemma":0.002215195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004184163,"about_ca_topic_score_gemma":0.003785445,"domain_scores_codex":[0.9977703,0.001286699,0.00008086263,0.000254739,0.0004692495,0.0001381622],"domain_scores_gemma":[0.983977,0.01424012,0.0005243687,0.0003047702,0.0005793958,0.0003745309],"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":[0.00008207156,0.00008005791,0.0001979802,0.0001618978,0.00008102402,0.00004801746,0.00005069754,0.8796989,0.0003669507,0.100947,0.002369927,0.01591549],"study_design_scores_gemma":[0.00001565559,0.00001164908,0.0000306668,0.00001355575,0.000006958117,0.000004156748,0.000002614236,0.9610198,0.00007988984,0.0384673,0.0003422977,0.000005436369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005806203,0.0006253184,0.9891712,0.0006524813,0.00009687675,0.00003037294,0.00006807471,0.0001247925,0.003424764],"genre_scores_gemma":[0.3560598,0.00203497,0.6100414,0.0008247175,0.0006024918,0.0007612666,0.0006150007,0.0006183638,0.02844196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006777556,"threshold_uncertainty_score":0.03535843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164582348745909,"score_gpt":0.2705544288337456,"score_spread":0.2489086053462866,"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."}}