{"id":"W2914852071","doi":"","title":"Subsampled Stochastic Variance-Reduced Gradient Langevin Dynamics.","year":2018,"lang":"en","type":"article","venue":"Uncertainty in Artificial Intelligence","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Langevin dynamics; Variance (accounting); Dynamics (music); Statistical physics; Computer science; Stochastic process; Langevin equation; Stochastic dynamics; Physics; Mathematics; Statistics; 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":[0.001167225,0.0005421837,0.001065908,0.0005402507,0.0003562407,0.00095097,0.001500978,0.001352326,0.002829257],"category_scores_gemma":[0.007852943,0.0004775551,0.0006574619,0.0004394741,0.001292459,0.001879145,0.001342761,0.001741342,0.0003733551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009499146,"about_ca_system_score_gemma":0.001043256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004875422,"about_ca_topic_score_gemma":0.004856917,"domain_scores_codex":[0.9995139,0.000197915,0.00001796022,0.00007232423,0.0001462677,0.00005154278],"domain_scores_gemma":[0.9980896,0.00122872,0.0001708283,0.0001935685,0.0002088964,0.0001082961],"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":[0.0001137398,0.00005878827,0.0007320279,0.0001078889,0.00007821915,0.00008147432,0.00008702333,0.6139422,0.001316015,0.3682118,0.002961413,0.01230943],"study_design_scores_gemma":[0.000006306149,0.000006749232,0.00007971343,0.000005489359,0.00000425081,0.00000796018,0.000004316724,0.9584132,0.0001413559,0.04087219,0.0004520883,0.000006273572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04199002,0.001186865,0.9453146,0.001162789,0.0003070191,0.00006545104,0.0003194865,0.0003844516,0.009269261],"genre_scores_gemma":[0.8637325,0.0006039414,0.1244899,0.0003287566,0.0001490739,0.0002104063,0.0004854945,0.0002451819,0.009754793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004875422,"threshold_uncertainty_score":0.009694099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1252566851254776,"score_gpt":0.383399165742813,"score_spread":0.2581424806173354,"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."}}