{"id":"W2963735997","doi":"10.1609/aaai.v33i01.33013943","title":"Meta-Descent for Online, Continual Prediction","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Stochastic gradient descent; Gradient descent; Range (aeronautics); Mathematical optimization; Hessian matrix; Artificial intelligence; Machine learning; Algorithm; Mathematics; Applied mathematics; Artificial neural network","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":[0.002570997,0.001231881,0.001654488,0.0008580172,0.0004504723,0.001206567,0.001946952,0.001669223,0.002010043],"category_scores_gemma":[0.006624053,0.0008137414,0.0008859412,0.0008203518,0.001055696,0.001511484,0.001108679,0.002256955,0.0006323237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010543,"about_ca_system_score_gemma":0.001626647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004039719,"about_ca_topic_score_gemma":0.004872529,"domain_scores_codex":[0.9993595,0.000239636,0.00003889125,0.0001232553,0.0001754837,0.00006320228],"domain_scores_gemma":[0.9971699,0.001948458,0.0002282224,0.0002382253,0.0003132354,0.0001019645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000661617,0.00005209013,0.0005372718,0.00008412243,0.00007501623,0.000045614,0.00003379241,0.9478675,0.0007480623,0.01107329,0.001489235,0.03792792],"study_design_scores_gemma":[0.000004766679,0.00001025335,0.00003057083,0.000005334549,0.000003224918,0.000005213997,0.000001936188,0.9971467,0.0001567532,0.002361313,0.0002717552,0.000002190017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009653501,0.0008020802,0.9871649,0.0002899532,0.0000751044,0.0000331314,0.0000460081,0.0006412625,0.001294019],"genre_scores_gemma":[0.5027538,0.0007176624,0.4904565,0.000423977,0.0001912432,0.0003138942,0.0003360228,0.000370529,0.004436432],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004039719,"threshold_uncertainty_score":0.01359689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3855954766612691,"score_gpt":0.4881601340619269,"score_spread":0.1025646574006578,"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."}}