{"id":"https://openalex.org/W2597344944","doi":"https://doi.org/10.48550/arxiv.1703.04529","title":"Task-based End-to-end Model Learning in Stochastic Optimization","display_name":"Task-based End-to-end Model Learning in Stochastic Optimization","publication_year":2017,"publication_date":"2017-03-13","ids":{"openalex":"https://openalex.org/W2597344944","doi":"https://doi.org/10.48550/arxiv.1703.04529","mag":"2597344944"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1703.04529","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.04529","pdf_url":"https://arxiv.org/pdf/1703.04529","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1703.04529","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075620331","display_name":"Priya L. Donti","orcid":"https://orcid.org/0000-0002-8503-7464","observed_orcids":["https://orcid.org/0000-0002-8503-7464"]},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donti, Priya L.","raw_affiliation_strings":["Dept. of Computer Science Dept. of Engr. & Public Policy Carnegie Mellon University Pittsburgh , PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science Dept. of Engr. & Public Policy Carnegie Mellon University Pittsburgh , PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030666794","display_name":"Brandon Amos","orcid":"https://orcid.org/0000-0003-2884-0119","observed_orcids":["https://orcid.org/0000-0003-2884-0119"]},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amos, Brandon","raw_affiliation_strings":["Dept. of Computer Science Carnegie Mellon University Pittsburgh , PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science Carnegie Mellon University Pittsburgh , PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075035644","display_name":"J. Zico Kolter","orcid":"https://orcid.org/0000-0002-8106-5759","observed_orcids":["https://orcid.org/0000-0002-8106-5759"]},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kolter, J. Zico","raw_affiliation_strings":["Dept. of Computer Science Carnegie Mellon University Pittsburgh , PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science Carnegie Mellon University Pittsburgh , PA 15213","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":229,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"5484","last_page":"5494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.7167999744415283,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.7167999744415283,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.045899998396635056,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.026900000870227814,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/end-to-end-learning","display_name":"end-to-end learning","score":0.7870000004768372},{"id":"https://openalex.org/keywords/task-based-learning","display_name":"task-based learning","score":0.8730000257492065},{"id":"https://openalex.org/keywords/model-learning","display_name":"model learning","score":0.6740000247955322}],"concepts":[{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.8609220385551453},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5746772885322571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48539507389068604},{"id":"https://openalex.org/C2778935963","wikidata":"https://www.wikidata.org/wiki/Q13218530","display_name":"End of history","level":3,"score":0.45767873525619507},{"id":"https://openalex.org/C2986709869","wikidata":"https://www.wikidata.org/wiki/Q398589","display_name":"Dead end","level":3,"score":0.4242831766605377},{"id":"https://openalex.org/C91262260","wikidata":"https://www.wikidata.org/wiki/Q528074","display_name":"End user","level":2,"score":0.41414040327072144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25074130296707153},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18034055829048157},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.17546549439430237},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12120586633682251},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.11084222793579102},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0884229838848114},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:arXiv.org:1703.04529","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.04529","pdf_url":"https://arxiv.org/pdf/1703.04529","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2597344944","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1703.04529.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1703.04529","doi":"https://doi.org/10.48550/arxiv.1703.04529","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1703.04529","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2752814746","doi":null,"is_oa":false,"landing_page_url":"https://papers.nips.cc/paper/7132-task-based-end-to-end-model-learning-in-stochastic-optimization.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Neural Information Processing Systems","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1703.04529","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.04529","pdf_url":"https://arxiv.org/pdf/1703.04529","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1314282440","display_name":null,"funder_award_id":"DE-FG02-97ER25308","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4879360136","display_name":"A GRADUATE FELLOWSHIP PROGRAM IN COMPUTATIONAL SCIENCE AND RELATED SCIENCES","funder_award_id":"FG02-97ER25308","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2597344944.pdf","grobid_xml":"https://content.openalex.org/works/W2597344944.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1607307044","https://openalex.org/W1754068669","https://openalex.org/W1836465849","https://openalex.org/W1969007958","https://openalex.org/W1998042868","https://openalex.org/W2000257769","https://openalex.org/W2034105234","https://openalex.org/W2044042941","https://openalex.org/W2099119623","https://openalex.org/W2102113734","https://openalex.org/W2123516968","https://openalex.org/W2133233905","https://openalex.org/W2149416133","https://openalex.org/W2159620355","https://openalex.org/W2186629860","https://openalex.org/W2186820913","https://openalex.org/W2193413348","https://openalex.org/W2194775991","https://openalex.org/W2258731934","https://openalex.org/W2505728881","https://openalex.org/W2530195778","https://openalex.org/W2551887912","https://openalex.org/W2592457170","https://openalex.org/W2604763608","https://openalex.org/W2766820687","https://openalex.org/W2949117887","https://openalex.org/W2953084784","https://openalex.org/W2963266548","https://openalex.org/W2963789586","https://openalex.org/W2964121744","https://openalex.org/W2964161785"],"related_works":["https://openalex.org/W2921949675","https://openalex.org/W2924984511","https://openalex.org/W3213878263","https://openalex.org/W4251595504","https://openalex.org/W2765959212","https://openalex.org/W2945957438","https://openalex.org/W2917248696","https://openalex.org/W7028615073","https://openalex.org/W3006799261","https://openalex.org/W6981712315"],"abstract_inverted_index":{"With":[0],"the":[1,22,33,59,70,81,105],"increasing":[2],"popularity":[3],"of":[4,72,80],"machine":[5,50],"learning":[6,48,51],"techniques,":[7],"it":[8],"has":[9],"become":[10],"common":[11],"to":[12],"see":[13],"prediction":[14],"algorithms":[15,29],"operating":[16],"within":[17,69],"some":[18],"larger":[19],"process.":[20],"However,":[21],"criteria":[23,35],"by":[24],"which":[25,37,64],"we":[26,38],"train":[27],"these":[28,120],"often":[30],"differ":[31],"from":[32],"ultimate":[34,60],"on":[36],"evaluate":[39],"them.":[40],"This":[41],"paper":[42],"proposes":[43],"an":[44],"end-to-end":[45],"approach":[46,107],"for":[47,63],"probabilistic":[49],"models":[52],"in":[53,119],"a":[54,84,89,96],"manner":[55],"that":[56,104],"directly":[57],"captures":[58],"task-based":[61],"objective":[62],"they":[65],"will":[66],"be":[67],"used,":[68],"context":[71],"stochastic":[73],"programming.":[74],"We":[75,102],"present":[76],"three":[77],"experimental":[78],"evaluations":[79],"proposed":[82,106],"approach:":[83],"classical":[85],"inventory":[86],"stock":[87],"problem,":[88],"real-world":[90,97],"electrical":[91],"grid":[92],"scheduling":[93],"task,":[94],"and":[95,113],"energy":[98],"storage":[99],"arbitrage":[100],"task.":[101],"show":[103],"can":[108],"outperform":[109],"both":[110],"traditional":[111],"modeling":[112],"purely":[114],"black-box":[115],"policy":[116],"optimization":[117],"approaches":[118],"applications.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":39},{"year":2020,"cited_by_count":35},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2017-03-23T00:00:00"}
