{"id":"https://openalex.org/W4381573485","doi":"https://doi.org/10.48550/arxiv.2306.11281","title":"Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models","display_name":"Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4381573485","doi":"https://doi.org/10.48550/arxiv.2306.11281"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2306.11281","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2306.11281","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000799899","display_name":"Sean Kulinski","orcid":"https://orcid.org/0000-0001-6953-8405"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kulinski, Sean","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101777562","display_name":"Zeyu Zhou","orcid":"https://orcid.org/0009-0001-5493-9019"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Zeyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015210439","display_name":"Ruqi Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Ruqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067212035","display_name":"Murat Kocao\u011flu","orcid":"https://orcid.org/0000-0002-4674-8634"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kocaoglu, Murat","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074209565","display_name":"David I. Inouye","orcid":"https://orcid.org/0000-0003-4493-3358"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Inouye, David I.","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9971,"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/T10028","display_name":"Topic Modeling","score":0.9971,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9826,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9797,"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/counterfactual-conditional","display_name":"Counterfactual conditional","score":0.8886126},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.43844542}],"concepts":[{"id":"https://openalex.org/C71889745","wikidata":"https://www.wikidata.org/wiki/Q1783264","display_name":"Counterfactual conditional","level":3,"score":0.8886126},{"id":"https://openalex.org/C96442724","wikidata":"https://www.wikidata.org/wiki/Q242188","display_name":"Invertible matrix","level":2,"score":0.61286235},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5092534},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.4846678},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.45696348},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.43985474},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.43844542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43184718},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33741313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30053324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27400315},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15504414},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0997552},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.09657231},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2306.11281","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2306.11281","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2306.11281","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4280530714","https://openalex.org/W4243804444","https://openalex.org/W4200271736","https://openalex.org/W3137864021","https://openalex.org/W3017854570","https://openalex.org/W2162910442","https://openalex.org/W2104420793","https://openalex.org/W2079879923","https://openalex.org/W2056582926","https://openalex.org/W2028689793"],"abstract_inverted_index":{"Answering":[0],"counterfactual":[1,80,165,217],"queries":[2],"has":[3],"important":[4],"applications":[5],"such":[6,31],"as":[7,32],"explainability,":[8],"robustness,":[9],"and":[10,21,85,101,158,176,203,225],"fairness":[11],"but":[12],"is":[13,38,142],"challenging":[14],"when":[15],"the":[16,22,41,61,139,152,194],"causal":[17,62,110],"variables":[18],"are":[19,24],"unobserved":[20],"observations":[23],"non-linear":[25],"mixtures":[26],"of":[27,60,109,151,160],"these":[28],"latent":[29,42,140],"variables,":[30],"pixels":[33],"in":[34,51,129,216],"images.":[35],"One":[36],"approach":[37],"to":[39,54,78,95,197],"recover":[40],"Structural":[43],"Causal":[44],"Model":[45],"(SCM),":[46],"which":[47,115],"may":[48,86],"be":[49,169],"infeasible":[50],"practice":[52],"due":[53],"requiring":[55],"strong":[56],"assumptions,":[57],"e.g.,":[58],"linearity":[59],"mechanisms":[63],"or":[64],"perfect":[65],"atomic":[66],"interventions.":[67],"Meanwhile,":[68],"more":[69],"practical":[70,190],"ML-based":[71],"approaches":[72],"using":[73],"naive":[74],"domain":[75,113,132,146,164],"translation":[76],"models":[77],"generate":[79],"samples":[81],"lack":[82],"theoretical":[83,102,183],"grounding":[84],"construct":[87],"invalid":[88],"counterfactuals.":[89],"In":[90],"this":[91],"work,":[92],"we":[93,162,185,212],"strive":[94],"strike":[96],"a":[97,106,118,130,172,187],"balance":[98],"between":[99],"practicality":[100],"guarantees":[103],"by":[104,171],"analyzing":[105],"specific":[107],"type":[108],"query":[111],"called":[112],"counterfactuals,":[114,147],"hypothesizes":[116],"what":[117],"sample":[119],"would":[120],"have":[121],"looked":[122],"like":[123],"if":[124],"it":[125],"had":[126],"been":[127],"generated":[128],"different":[131],"(or":[133],"environment).":[134],"We":[135],"show":[136,213],"that":[137,192,207],"recovering":[138],"SCM":[141],"unnecessary":[143],"for":[144],"estimating":[145],"thereby":[148],"sidestepping":[149],"some":[150],"theoretic":[153],"challenges.":[154],"By":[155],"assuming":[156],"invertibility":[157],"sparsity":[159,178],"intervention,":[161],"prove":[163],"estimation":[166,200,218],"error":[167],"can":[168],"bounded":[170],"data":[173],"fit":[174],"term":[175],"intervention":[177,209],"term.":[179],"Building":[180],"upon":[181],"our":[182],"results,":[184],"develop":[186],"theoretically":[188],"grounded":[189],"algorithm":[191],"simplifies":[193],"modeling":[195],"process":[196],"generative":[198],"model":[199],"under":[201],"autoregressive":[202],"shared":[204],"parameter":[205],"constraints":[206],"enforce":[208],"sparsity.":[210],"Finally,":[211],"an":[214],"improvement":[215],"over":[219],"baseline":[220],"methods":[221],"through":[222],"extensive":[223],"simulated":[224],"image-based":[226],"experiments.":[227]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4381573485","counts_by_year":[],"updated_date":"2024-12-31T04:58:24.213282","created_date":"2023-06-22"}