{"id":"W3082481594","doi":"10.14288/1.0394117","title":"Stochastic second-order optimization for over-parameterized machine learning models","year":2020,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Parameterized complexity; Computer science; Order (exchange); Artificial intelligence; Mathematical optimization; Machine learning; Mathematics; Algorithm; Economics","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":[0.002141756,0.00127846,0.001436354,0.0006180937,0.0004568547,0.001102568,0.001445253,0.001452772,0.001344166],"category_scores_gemma":[0.006860246,0.0007721124,0.0009726222,0.0008167524,0.001408378,0.001149283,0.001192387,0.001819821,0.000368391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713895,"about_ca_system_score_gemma":0.002208686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009414146,"about_ca_topic_score_gemma":0.009551516,"domain_scores_codex":[0.999087,0.0004406555,0.00004120223,0.0001556186,0.0002083688,0.00006715385],"domain_scores_gemma":[0.9967923,0.002222226,0.000352917,0.0002479703,0.0002699091,0.0001147392],"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":[0.00001712999,0.0000116348,0.0001898724,0.00003587897,0.00001904433,0.00001953444,0.00001649725,0.9848356,0.0004645161,0.009746389,0.0002331211,0.004410781],"study_design_scores_gemma":[0.000001152233,0.000002528034,0.00001115839,0.000001284118,6.316898e-7,0.00000157951,7.660399e-7,0.998019,0.00005296355,0.001830247,0.00007762622,0.00000106569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008689672,0.0001640873,0.9900597,0.0001735482,0.00002065872,0.00002014311,0.00004213668,0.0002094597,0.0006205706],"genre_scores_gemma":[0.5060937,0.0005427082,0.4858603,0.0002570111,0.0001111992,0.0003489444,0.0004577116,0.0004021471,0.005926285],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009414146,"threshold_uncertainty_score":0.01871866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051361150840292,"score_gpt":0.1877184888105008,"score_spread":0.1672048773020979,"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."}}