{"id":"W4210572393","doi":"10.1109/cdc45484.2021.9683223","title":"Second-order mirror descent: exact convergence beyond strictly stable equilibria in concave games","year":2021,"lang":"en","type":"article","venue":"2021 60th IEEE Conference on Decision and Control (CDC)","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Huawei Technologies","keywords":"Convergence (economics); Nash equilibrium; Regret; Descent (aeronautics); Applied mathematics; Mathematics; Mathematical optimization; Order (exchange); Mathematical economics; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002200926,0.0004388331,0.0009264185,0.0003809714,0.0002685626,0.0008199711,0.0009455926,0.0002540158,0.02461755],"category_scores_gemma":[0.002426812,0.0003622185,0.000179965,0.001582998,0.0002881572,0.0005376703,0.0001869197,0.0005004548,0.001400392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006490547,"about_ca_system_score_gemma":0.0006727382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000412685,"about_ca_topic_score_gemma":0.0005874015,"domain_scores_codex":[0.9945748,0.0006632802,0.001300098,0.001440756,0.00132484,0.0006962694],"domain_scores_gemma":[0.9928634,0.00384659,0.0003865862,0.001317114,0.00112027,0.0004660007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002061821,0.001012542,0.008681923,0.00003289516,0.0001523072,0.0004679634,0.001739873,0.0002509597,0.2002175,0.1960515,0.01371264,0.575618],"study_design_scores_gemma":[0.02237128,0.0008804047,0.07696209,0.000596139,0.000162398,0.0001338901,0.01056048,0.09128074,0.0313351,0.5763821,0.1866089,0.002726449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513885,0.0008284169,0.01917122,0.002441963,0.0009125914,0.0006767454,0.0002751498,0.00004840215,0.02425698],"genre_scores_gemma":[0.9873305,0.0003435376,0.0007125612,0.001739589,0.00007363815,0.00008320819,0.0000140415,0.00002494993,0.009677989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5728916,"threshold_uncertainty_score":0.999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07465558757424609,"score_gpt":0.3503567232363893,"score_spread":0.2757011356621432,"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."}}