{"id":"W4226427252","doi":"10.1145/3526074","title":"Private and Online Learnability Are Equivalent","year":2022,"lang":"en","type":"article","venue":"Journal of the ACM","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tel Aviv University; Azrieli Foundation; Israel Science Foundation; National Science Foundation","keywords":"Learnability; Equivalence (formal languages); Discrete mathematics; Binary number; Class (philosophy); Mathematics; VC dimension; Computer science; Theoretical computer science; Combinatorics; Artificial intelligence; Arithmetic","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007140774,0.00004656436,0.00009658682,0.00003212173,0.0001889196,0.00003275431,0.00222289,0.000007960963,0.00002526817],"category_scores_gemma":[0.0005696246,0.00002831539,0.00007099168,0.0001348081,0.00002159761,0.00008920622,0.002891916,0.0004605493,5.494567e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003514095,"about_ca_system_score_gemma":0.00002895067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005903388,"about_ca_topic_score_gemma":5.253149e-7,"domain_scores_codex":[0.9991525,0.000202271,0.0001669108,0.00008126019,0.0003077927,0.0000892434],"domain_scores_gemma":[0.9989254,0.00005704362,0.0003012936,0.0006400247,0.00003400936,0.00004225979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001370709,0.001509716,0.6324989,0.0001018433,0.000218887,0.0003410288,0.009343373,0.0200039,0.002249145,0.004388297,0.01624092,0.3129669],"study_design_scores_gemma":[0.0008038621,0.0005791727,0.8614519,0.00004194321,0.00002277645,0.001194899,0.0003638903,0.03414663,0.0002724291,0.05345588,0.04748622,0.0001804124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690166,0.0002352384,0.003164576,0.02686317,0.0006347521,0.00003274887,0.00000166824,0.00001169198,0.00003959864],"genre_scores_gemma":[0.9672416,0.00001200009,0.03179949,0.0005157079,0.0001228053,4.730793e-7,6.017716e-8,0.000003601771,0.0003042147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3127865,"threshold_uncertainty_score":0.4130719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981982756584743,"score_gpt":0.2706948408832756,"score_spread":0.2508750133174281,"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."}}