{"id":"W2803376244","doi":"10.48550/arxiv.1807.02125","title":"Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)","year":2018,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Kernel (algebra); Tensor product; Marginal likelihood; Cartesian product; Gaussian process; Grid; Computer science; Algorithm; Mathematics; Theoretical computer science; Mathematical optimization; Bayesian probability; Gaussian; Artificial intelligence; Discrete mathematics; Pure mathematics","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":[0.002429006,0.001167831,0.001812799,0.0008863198,0.0005973915,0.0015279,0.003628751,0.002491753,0.002593745],"category_scores_gemma":[0.01022561,0.0008824638,0.001188848,0.001498626,0.001126486,0.002386047,0.003399383,0.002861791,0.001694214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004144,"about_ca_system_score_gemma":0.002475668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009960831,"about_ca_topic_score_gemma":0.01161755,"domain_scores_codex":[0.9990055,0.0002874227,0.00004658721,0.0002187397,0.0003227813,0.000119039],"domain_scores_gemma":[0.9980808,0.0008317616,0.0001501589,0.0005211618,0.0003064522,0.0001096085],"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":[0.0001464113,0.0001007575,0.001386827,0.0001376652,0.0001063082,0.0001311351,0.0001434899,0.7769204,0.002440397,0.04759476,0.008256987,0.1626348],"study_design_scores_gemma":[0.00001350153,0.000009207375,0.00006463551,0.000005254932,0.000003280878,0.00002061341,0.000006787539,0.9855533,0.0003784676,0.01328404,0.0006549394,0.000005900131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003958519,0.0001256476,0.9939733,0.0001197908,0.00002273916,0.0000330417,0.00009553013,0.001263284,0.0004081489],"genre_scores_gemma":[0.164802,0.0002466814,0.8310881,0.0003179898,0.00007603746,0.0002641021,0.001063819,0.0006209277,0.001520303],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009960831,"threshold_uncertainty_score":0.01980573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03002776022695052,"score_gpt":0.1675399770350083,"score_spread":0.1375122168080578,"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."}}