{"id":"W2795626670","doi":"10.48550/arxiv.1804.00325","title":"Aggregated Momentum: Stability Through Passive Damping","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Momentum (technical analysis); Convergence (economics); Quadratic equation; BETA (programming language); Gradient descent; Stability (learning theory); Physics; Instability; Rate of convergence; Curvature; Control theory (sociology); Applied mathematics; Mathematics; Mathematical analysis; Computer science; Classical mechanics; Mechanics; Geometry; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002361838,0.0004180267,0.0004037361,0.0002342843,0.0002343164,0.0001805495,0.002486747,0.000354903,0.0001117917],"category_scores_gemma":[0.0001324148,0.0004904508,0.000202955,0.0009543593,0.0003134238,0.00067379,0.003399587,0.0004960961,0.00008367431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005256378,"about_ca_system_score_gemma":0.0002579461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001232777,"about_ca_topic_score_gemma":0.000008536789,"domain_scores_codex":[0.9972205,0.0001833687,0.0003147631,0.00164341,0.0001650393,0.0004729108],"domain_scores_gemma":[0.9965769,0.0001330098,0.0005050431,0.002100249,0.00052456,0.0001602308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006897609,0.0004959101,0.002517266,0.000248916,0.0003810448,0.0003407207,0.003158877,0.09576351,0.0001323854,0.8921087,0.004044193,0.0007394427],"study_design_scores_gemma":[0.0004391079,0.0001302869,0.0002080355,0.0002238737,0.00006368318,0.00000436513,0.00008666505,0.6834265,0.003920813,0.3104112,0.0003260535,0.000759356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0590766,0.00002683502,0.9348478,0.0001413186,0.0008424426,0.0006016249,0.00001970713,0.001151631,0.003292091],"genre_scores_gemma":[0.962381,0.00009001599,0.03695837,0.000114937,0.00007286703,0.000004808717,0.00003183101,0.00002523584,0.0003209284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9033044,"threshold_uncertainty_score":0.9997547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012138630378368,"score_gpt":0.205414326185407,"score_spread":0.1042004631475702,"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."}}