Publication Information

{'id': 'https://openalex.org/W2949808314', 'doi': 'https://doi.org/10.48550/arxiv.1206.6391', 'title': 'Gaussian Process Quantile Regression using Expectation Propagation', 'display_name': 'Gaussian Process Quantile Regression using Expectation Propagation', 'publication_year': 2012, 'publication_date': '2012-01-01', 'ids': {'openalex': 'https://openalex.org/W2949808314', 'doi': 'https://doi.org/10.48550/arxiv.1206.6391', 'mag': '2949808314'}, 'language': 'en', 'primary_location': {'is_oa': True, 'landing_page_url': 'https://arxiv.org/abs/1206.6391', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, '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': ['datacite'], 'open_access': {'is_oa': True, 'oa_status': 'green', 'oa_url': 'https://arxiv.org/abs/1206.6391', 'any_repository_has_fulltext': True}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5020971679', 'display_name': 'Alexis Boukouvalas', 'orcid': 'https://orcid.org/0000-0003-3306-3692'}, 'institutions': [{'id': 'https://openalex.org/I169199633', 'display_name': 'Aston University', 'ror': 'https://ror.org/05j0ve876', 'country_code': 'GB', 'type': 'education', 'lineage': ['https://openalex.org/I169199633']}], 'countries': ['GB'], 'is_corresponding': False, 'raw_author_name': 'Alexis Boukouvalas', 'raw_affiliation_strings': ['Aston University'], 'affiliations': [{'raw_affiliation_string': 'Aston University', 'institution_ids': ['https://openalex.org/I169199633']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5084542203', 'display_name': 'Remi Barillec', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I169199633', 'display_name': 'Aston University', 'ror': 'https://ror.org/05j0ve876', 'country_code': 'GB', 'type': 'education', 'lineage': ['https://openalex.org/I169199633']}], 'countries': ['GB'], 'is_corresponding': False, 'raw_author_name': 'Remi Barillec', 'raw_affiliation_strings': ['Aston University'], 'affiliations': [{'raw_affiliation_string': 'Aston University', 'institution_ids': ['https://openalex.org/I169199633']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5072511905', 'display_name': 'Dan Cornford', 'orcid': 'https://orcid.org/0000-0001-8787-6758'}, 'institutions': [{'id': 'https://openalex.org/I169199633', 'display_name': 'Aston University', 'ror': 'https://ror.org/05j0ve876', 'country_code': 'GB', 'type': 'education', 'lineage': ['https://openalex.org/I169199633']}], 'countries': ['GB'], 'is_corresponding': False, 'raw_author_name': 'Dan Cornford', 'raw_affiliation_strings': ['Aston University'], 'affiliations': [{'raw_affiliation_string': 'Aston University', 'institution_ids': ['https://openalex.org/I169199633']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': None, 'has_fulltext': False, 'cited_by_count': 11, 'citation_normalized_percentile': {'value': 0.889152, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 85, 'max': 86}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T12814', 'display_name': 'Gaussian Processes and Bayesian Inference', 'score': 0.9999, '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/T12814', 'display_name': 'Gaussian Processes and Bayesian Inference', 'score': 0.9999, '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/T11236', 'display_name': 'Control Systems and Identification', 'score': 0.9897, 'subfield': {'id': 'https://openalex.org/subfields/2207', 'display_name': 'Control and Systems Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10876', 'display_name': 'Fault Detection and Control Systems', 'score': 0.9776, 'subfield': {'id': 'https://openalex.org/subfields/2207', 'display_name': 'Control and Systems Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/quantile-regression', 'display_name': 'Quantile regression', 'score': 0.8625025}, {'id': 'https://openalex.org/keywords/quantile-function', 'display_name': 'Quantile function', 'score': 0.7443632}, {'id': 'https://openalex.org/keywords/leverage', 'display_name': 'Leverage (statistics)', 'score': 0.6650493}, {'id': 'https://openalex.org/keywords/quantile', 'display_name': 'Quantile', 'score': 0.610047}], 'concepts': [{'id': 'https://openalex.org/C63817138', 'wikidata': 'https://www.wikidata.org/wiki/Q3455889', 'display_name': 'Quantile regression', 'level': 2, 'score': 0.8625025}, {'id': 'https://openalex.org/C47121976', 'wikidata': 'https://www.wikidata.org/wiki/Q3489473', 'display_name': 'Quantile function', 'level': 4, 'score': 0.7443632}, {'id': 'https://openalex.org/C61326573', 'wikidata': 'https://www.wikidata.org/wiki/Q1496376', 'display_name': 'Gaussian process', 'level': 3, 'score': 0.6819357}, {'id': 'https://openalex.org/C153083717', 'wikidata': 'https://www.wikidata.org/wiki/Q6535263', 'display_name': 'Leverage (statistics)', 'level': 2, 'score': 0.6650493}, {'id': 'https://openalex.org/C81692654', 'wikidata': 'https://www.wikidata.org/wiki/Q225926', 'display_name': 'Kriging', 'level': 2, 'score': 0.6447419}, {'id': 'https://openalex.org/C118671147', 'wikidata': 'https://www.wikidata.org/wiki/Q578714', 'display_name': 'Quantile', 'level': 2, 'score': 0.610047}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.48606637}, {'id': 'https://openalex.org/C152877465', 'wikidata': 'https://www.wikidata.org/wiki/Q208042', 'display_name': 'Regression analysis', 'level': 2, 'score': 0.46242207}, {'id': 'https://openalex.org/C163716315', 'wikidata': 'https://www.wikidata.org/wiki/Q901177', 'display_name': 'Gaussian', 'level': 2, 'score': 0.42981124}, {'id': 'https://openalex.org/C49937458', 'wikidata': 'https://www.wikidata.org/wiki/Q2599292', 'display_name': 'Probabilistic logic', 'level': 2, 'score': 0.4286785}, {'id': 'https://openalex.org/C7218915', 'wikidata': 'https://www.wikidata.org/wiki/Q1054475', 'display_name': 'Gaussian function', 'level': 3, 'score': 0.42254817}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.38582316}, {'id': 'https://openalex.org/C149782125', 'wikidata': 'https://www.wikidata.org/wiki/Q160039', 'display_name': 'Econometrics', 'level': 1, 'score': 0.3652214}, {'id': 'https://openalex.org/C126255220', 'wikidata': 'https://www.wikidata.org/wiki/Q141495', 'display_name': 'Mathematical optimization', 'level': 1, 'score': 0.3351124}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.27676442}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.27400294}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.27264178}, {'id': 'https://openalex.org/C122123141', 'wikidata': 'https://www.wikidata.org/wiki/Q176623', 'display_name': 'Random variable', 'level': 2, 'score': 0.2459706}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C62520636', 'wikidata': 'https://www.wikidata.org/wiki/Q944', 'display_name': 'Quantum mechanics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C101796028', 'wikidata': 'https://www.wikidata.org/wiki/Q535587', 'display_name': 'Moment-generating function', 'level': 3, 'score': 0.0}], 'mesh': [], 'locations_count': 2, 'locations': [{'is_oa': True, 'landing_page_url': 'https://arxiv.org/abs/1206.6391', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, '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.1206.6391', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4393179698', 'display_name': 'DataCite API', 'issn_l': None, 'issn': None, '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': None, 'license_id': None, 'version': None}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://arxiv.org/abs/1206.6391', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, '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': 14, 'referenced_works': ['https://openalex.org/W1571870753', 'https://openalex.org/W1586849465', 'https://openalex.org/W1934021597', 'https://openalex.org/W1946367946', 'https://openalex.org/W1992925901', 'https://openalex.org/W2014586030', 'https://openalex.org/W2032403736', 'https://openalex.org/W2041169973', 'https://openalex.org/W2043436310', 'https://openalex.org/W2069349208', 'https://openalex.org/W2103054660', 'https://openalex.org/W2147646644', 'https://openalex.org/W2166471851', 'https://openalex.org/W2974222084'], 'related_works': ['https://openalex.org/W4388704167', 'https://openalex.org/W4376874882', 'https://openalex.org/W4318833145', 'https://openalex.org/W4206618949', 'https://openalex.org/W4206511378', 'https://openalex.org/W3205863630', 'https://openalex.org/W3136930549', 'https://openalex.org/W2526321210', 'https://openalex.org/W2364275385', 'https://openalex.org/W2007977664'], 'abstract_inverted_index': {'Direct': [0], 'quantile': [1, 7, 25, 69], 'regression': [2, 26, 70], 'involves': [3], 'estimating': [4], 'a': [5, 9, 13, 20, 28], 'given': [6], 'of': [8, 15, 92, 101], 'response': [10], 'variable': [11], 'as': [12], 'function': [14], 'input': [16], 'variables.': [17], 'We': [18, 61], 'present': [19], 'new': [21], 'framework': [22], 'for': [23, 98], 'direct': [24], 'where': [27], 'Gaussian': [29, 104], 'process': [30, 105], 'model': [31], 'is': [32, 45, 85], 'learned,': [33], 'minimising': [34], 'the': [35, 53, 57, 74, 93, 99, 102], 'expected': [36], 'tilted': [37], 'loss': [38], 'function.': [39], 'The': [40, 83], 'integration': [41], 'required': [42], 'in': [43], 'learning': [44, 54], 'not': [46], 'analytically': [47], 'tractable': [48], 'so': [49], 'to': [50, 67, 87], 'speed': [51], 'up': [52], 'we': [55], 'employ': [56], 'Expectation': [58], 'Propagation': [59], 'algorithm.': [60], 'describe': [62], 'how': [63], 'this': [64], 'work': [65], 'relates': [66], 'other': [68], 'methods': [71, 95], 'and': [72, 79], 'apply': [73], 'method': [75, 84], 'on': [76], 'both': [77], 'synthetic': [78], 'real': [80], 'data': [81], 'sets.': [82], 'shown': [86], 'be': [88], 'competitive': [89], 'with': [90], 'state': [91], 'art': [94], 'whilst': [96], 'allowing': [97], 'leverage': [100], 'full': [103], 'probabilistic': [106], 'framework.': [107]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2949808314', 'counts_by_year': [{'year': 2020, 'cited_by_count': 3}, {'year': 2019, 'cited_by_count': 2}, {'year': 2017, 'cited_by_count': 1}, {'year': 2016, 'cited_by_count': 1}, {'year': 2015, 'cited_by_count': 1}, {'year': 2014, 'cited_by_count': 2}, {'year': 2012, 'cited_by_count': 1}], 'updated_date': '2024-12-07T20:00:17.459615', 'created_date': '2019-06-27'}