A Game-theoretic Understanding of Repeated Explanations in ML Models Article Swipe
Kavita Kumari
,
Murtuza Jadliwala
,
Sumit Kumar Jha
,
Anindya Maiti
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2202.02659
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2202.02659
This paper formally models the strategic repeated interactions between a system, comprising of a machine learning (ML) model and associated explanation method, and an end-user who is seeking a prediction/label and its explanation for a query/input, by means of game theory. In this game, a malicious end-user must strategically decide when to stop querying and attempt to compromise the system, while the system must strategically decide how much information (in the form of noisy explanations) it should share with the end-user and when to stop sharing, all without knowing the type (honest/malicious) of the end-user. This paper formally models this trade-off using a continuous-time stochastic Signaling game framework and characterizes the Markov perfect equilibrium state within such a framework.
Related Topics
Concepts
Computer science
Compromise
Repeated game
Game theory
Sequential game
Signaling game
State (computer science)
Markov chain
Complete information
Markov process
Normal-form game
Artificial intelligence
Mathematical economics
Theoretical computer science
Machine learning
Economics
Mathematics
Algorithm
Statistics
Social science
Sociology
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2202.02659
- https://arxiv.org/pdf/2202.02659
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4221139199
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4221139199Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2202.02659Digital Object Identifier
- Title
-
A Game-theoretic Understanding of Repeated Explanations in ML ModelsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-02-05Full publication date if available
- Authors
-
Kavita Kumari, Murtuza Jadliwala, Sumit Kumar Jha, Anindya MaitiList of authors in order
- Landing page
-
https://arxiv.org/abs/2202.02659Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2202.02659Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2202.02659Direct OA link when available
- Concepts
-
Computer science, Compromise, Repeated game, Game theory, Sequential game, Signaling game, State (computer science), Markov chain, Complete information, Markov process, Normal-form game, Artificial intelligence, Mathematical economics, Theoretical computer science, Machine learning, Economics, Mathematics, Algorithm, Statistics, Social science, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4221139199 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2202.02659 |
| ids.doi | https://doi.org/10.48550/arxiv.2202.02659 |
| ids.openalex | https://openalex.org/W4221139199 |
| fwci | |
| type | preprint |
| title | A Game-theoretic Understanding of Repeated Explanations in ML Models |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12026 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9550999999046326 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Explainable Artificial Intelligence (XAI) |
| topics[1].id | https://openalex.org/T12101 |
| topics[1].field.id | https://openalex.org/fields/18 |
| topics[1].field.display_name | Decision Sciences |
| topics[1].score | 0.9269999861717224 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1803 |
| topics[1].subfield.display_name | Management Science and Operations Research |
| topics[1].display_name | Advanced Bandit Algorithms Research |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7288097143173218 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C46355384 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7016286253929138 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q726686 |
| concepts[1].display_name | Compromise |
| concepts[2].id | https://openalex.org/C202556891 |
| concepts[2].level | 3 |
| concepts[2].score | 0.6552750468254089 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1584646 |
| concepts[2].display_name | Repeated game |
| concepts[3].id | https://openalex.org/C177142836 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5843589305877686 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q44455 |
| concepts[3].display_name | Game theory |
| concepts[4].id | https://openalex.org/C73795354 |
| concepts[4].level | 3 |
| concepts[4].score | 0.5378735065460205 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q287618 |
| concepts[4].display_name | Sequential game |
| concepts[5].id | https://openalex.org/C62658633 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4825798571109772 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1086723 |
| concepts[5].display_name | Signaling game |
| concepts[6].id | https://openalex.org/C48103436 |
| concepts[6].level | 2 |
| concepts[6].score | 0.46453148126602173 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q599031 |
| concepts[6].display_name | State (computer science) |
| concepts[7].id | https://openalex.org/C98763669 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4570474922657013 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q176645 |
| concepts[7].display_name | Markov chain |
| concepts[8].id | https://openalex.org/C113336015 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4490061402320862 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q574010 |
| concepts[8].display_name | Complete information |
| concepts[9].id | https://openalex.org/C159886148 |
| concepts[9].level | 2 |
| concepts[9].score | 0.4395335614681244 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q176645 |
| concepts[9].display_name | Markov process |
| concepts[10].id | https://openalex.org/C155930848 |
| concepts[10].level | 4 |
| concepts[10].score | 0.4369052052497864 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1069099 |
| concepts[10].display_name | Normal-form game |
| concepts[11].id | https://openalex.org/C154945302 |
| concepts[11].level | 1 |
| concepts[11].score | 0.37221992015838623 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[11].display_name | Artificial intelligence |
| concepts[12].id | https://openalex.org/C144237770 |
| concepts[12].level | 1 |
| concepts[12].score | 0.3481404781341553 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q747534 |
| concepts[12].display_name | Mathematical economics |
| concepts[13].id | https://openalex.org/C80444323 |
| concepts[13].level | 1 |
| concepts[13].score | 0.33455294370651245 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q2878974 |
| concepts[13].display_name | Theoretical computer science |
| concepts[14].id | https://openalex.org/C119857082 |
| concepts[14].level | 1 |
| concepts[14].score | 0.26162558794021606 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[14].display_name | Machine learning |
| concepts[15].id | https://openalex.org/C162324750 |
| concepts[15].level | 0 |
| concepts[15].score | 0.13239479064941406 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[15].display_name | Economics |
| concepts[16].id | https://openalex.org/C33923547 |
| concepts[16].level | 0 |
| concepts[16].score | 0.13115692138671875 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[16].display_name | Mathematics |
| concepts[17].id | https://openalex.org/C11413529 |
| concepts[17].level | 1 |
| concepts[17].score | 0.11524853110313416 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[17].display_name | Algorithm |
| concepts[18].id | https://openalex.org/C105795698 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[18].display_name | Statistics |
| concepts[19].id | https://openalex.org/C36289849 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q34749 |
| concepts[19].display_name | Social science |
| concepts[20].id | https://openalex.org/C144024400 |
| concepts[20].level | 0 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q21201 |
| concepts[20].display_name | Sociology |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7288097143173218 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/compromise |
| keywords[1].score | 0.7016286253929138 |
| keywords[1].display_name | Compromise |
| keywords[2].id | https://openalex.org/keywords/repeated-game |
| keywords[2].score | 0.6552750468254089 |
| keywords[2].display_name | Repeated game |
| keywords[3].id | https://openalex.org/keywords/game-theory |
| keywords[3].score | 0.5843589305877686 |
| keywords[3].display_name | Game theory |
| keywords[4].id | https://openalex.org/keywords/sequential-game |
| keywords[4].score | 0.5378735065460205 |
| keywords[4].display_name | Sequential game |
| keywords[5].id | https://openalex.org/keywords/signaling-game |
| keywords[5].score | 0.4825798571109772 |
| keywords[5].display_name | Signaling game |
| keywords[6].id | https://openalex.org/keywords/state |
| keywords[6].score | 0.46453148126602173 |
| keywords[6].display_name | State (computer science) |
| keywords[7].id | https://openalex.org/keywords/markov-chain |
| keywords[7].score | 0.4570474922657013 |
| keywords[7].display_name | Markov chain |
| keywords[8].id | https://openalex.org/keywords/complete-information |
| keywords[8].score | 0.4490061402320862 |
| keywords[8].display_name | Complete information |
| keywords[9].id | https://openalex.org/keywords/markov-process |
| keywords[9].score | 0.4395335614681244 |
| keywords[9].display_name | Markov process |
| keywords[10].id | https://openalex.org/keywords/normal-form-game |
| keywords[10].score | 0.4369052052497864 |
| keywords[10].display_name | Normal-form game |
| keywords[11].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[11].score | 0.37221992015838623 |
| keywords[11].display_name | Artificial intelligence |
| keywords[12].id | https://openalex.org/keywords/mathematical-economics |
| keywords[12].score | 0.3481404781341553 |
| keywords[12].display_name | Mathematical economics |
| keywords[13].id | https://openalex.org/keywords/theoretical-computer-science |
| keywords[13].score | 0.33455294370651245 |
| keywords[13].display_name | Theoretical computer science |
| keywords[14].id | https://openalex.org/keywords/machine-learning |
| keywords[14].score | 0.26162558794021606 |
| keywords[14].display_name | Machine learning |
| keywords[15].id | https://openalex.org/keywords/economics |
| keywords[15].score | 0.13239479064941406 |
| keywords[15].display_name | Economics |
| keywords[16].id | https://openalex.org/keywords/mathematics |
| keywords[16].score | 0.13115692138671875 |
| keywords[16].display_name | Mathematics |
| keywords[17].id | https://openalex.org/keywords/algorithm |
| keywords[17].score | 0.11524853110313416 |
| keywords[17].display_name | Algorithm |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2202.02659 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/2202.02659 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2202.02659 |
| locations[1].id | doi:10.48550/arxiv.2202.02659 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2202.02659 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5101702721 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-2898-7850 |
| authorships[0].author.display_name | Kavita Kumari |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I45438204 |
| authorships[0].affiliations[0].raw_affiliation_string | University of Texas, San Antonio |
| authorships[0].institutions[0].id | https://openalex.org/I45438204 |
| authorships[0].institutions[0].ror | https://ror.org/01kd65564 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I45438204 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | The University of Texas at San Antonio |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Kumari, Kavita |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | University of Texas, San Antonio |
| authorships[1].author.id | https://openalex.org/A5012114492 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-9316-1943 |
| authorships[1].author.display_name | Murtuza Jadliwala |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I45438204 |
| authorships[1].affiliations[0].raw_affiliation_string | University of Texas, San Antonio |
| authorships[1].institutions[0].id | https://openalex.org/I45438204 |
| authorships[1].institutions[0].ror | https://ror.org/01kd65564 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I45438204 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | The University of Texas at San Antonio |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jadliwala, Murtuza |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | University of Texas, San Antonio |
| authorships[2].author.id | https://openalex.org/A5075978538 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-0354-2940 |
| authorships[2].author.display_name | Sumit Kumar Jha |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I45438204 |
| authorships[2].affiliations[0].raw_affiliation_string | University of Texas, San Antonio |
| authorships[2].institutions[0].id | https://openalex.org/I45438204 |
| authorships[2].institutions[0].ror | https://ror.org/01kd65564 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I45438204 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | The University of Texas at San Antonio |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Jha, Sumit Kumar |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | University of Texas, San Antonio |
| authorships[3].author.id | https://openalex.org/A5045020872 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-6461-2805 |
| authorships[3].author.display_name | Anindya Maiti |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I8692664 |
| authorships[3].affiliations[0].raw_affiliation_string | University of Oklahoma |
| authorships[3].institutions[0].id | https://openalex.org/I8692664 |
| authorships[3].institutions[0].ror | https://ror.org/02aqsxs83 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I8692664 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | University of Oklahoma |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Maiti, Anindya |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | University of Oklahoma |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2202.02659 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A Game-theoretic Understanding of Repeated Explanations in ML Models |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T12026 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9550999999046326 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Explainable Artificial Intelligence (XAI) |
| related_works | https://openalex.org/W2393381316, https://openalex.org/W2602312317, https://openalex.org/W2208861692, https://openalex.org/W1473969641, https://openalex.org/W2391693198, https://openalex.org/W1514842472, https://openalex.org/W2039104542, https://openalex.org/W1600141987, https://openalex.org/W2910530315, https://openalex.org/W2381353267 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2202.02659 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2202.02659 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2202.02659 |
| primary_location.id | pmh:oai:arXiv.org:2202.02659 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2202.02659 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2202.02659 |
| publication_date | 2022-02-05 |
| publication_year | 2022 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 9, 13, 28, 34, 44, 102, 117 |
| abstract_inverted_index.In | 41 |
| abstract_inverted_index.an | 23 |
| abstract_inverted_index.by | 36 |
| abstract_inverted_index.is | 26 |
| abstract_inverted_index.it | 75 |
| abstract_inverted_index.of | 12, 38, 72, 92 |
| abstract_inverted_index.to | 51, 56, 83 |
| abstract_inverted_index.(in | 69 |
| abstract_inverted_index.all | 86 |
| abstract_inverted_index.and | 18, 22, 30, 54, 81, 108 |
| abstract_inverted_index.for | 33 |
| abstract_inverted_index.how | 66 |
| abstract_inverted_index.its | 31 |
| abstract_inverted_index.the | 4, 58, 61, 70, 79, 89, 93, 110 |
| abstract_inverted_index.who | 25 |
| abstract_inverted_index.(ML) | 16 |
| abstract_inverted_index.This | 0, 95 |
| abstract_inverted_index.form | 71 |
| abstract_inverted_index.game | 39, 106 |
| abstract_inverted_index.much | 67 |
| abstract_inverted_index.must | 47, 63 |
| abstract_inverted_index.stop | 52, 84 |
| abstract_inverted_index.such | 116 |
| abstract_inverted_index.this | 42, 99 |
| abstract_inverted_index.type | 90 |
| abstract_inverted_index.when | 50, 82 |
| abstract_inverted_index.with | 78 |
| abstract_inverted_index.game, | 43 |
| abstract_inverted_index.means | 37 |
| abstract_inverted_index.model | 17 |
| abstract_inverted_index.noisy | 73 |
| abstract_inverted_index.paper | 1, 96 |
| abstract_inverted_index.share | 77 |
| abstract_inverted_index.state | 114 |
| abstract_inverted_index.using | 101 |
| abstract_inverted_index.while | 60 |
| abstract_inverted_index.Markov | 111 |
| abstract_inverted_index.decide | 49, 65 |
| abstract_inverted_index.models | 3, 98 |
| abstract_inverted_index.should | 76 |
| abstract_inverted_index.system | 62 |
| abstract_inverted_index.within | 115 |
| abstract_inverted_index.attempt | 55 |
| abstract_inverted_index.between | 8 |
| abstract_inverted_index.knowing | 88 |
| abstract_inverted_index.machine | 14 |
| abstract_inverted_index.method, | 21 |
| abstract_inverted_index.perfect | 112 |
| abstract_inverted_index.seeking | 27 |
| abstract_inverted_index.system, | 10, 59 |
| abstract_inverted_index.theory. | 40 |
| abstract_inverted_index.without | 87 |
| abstract_inverted_index.end-user | 24, 46, 80 |
| abstract_inverted_index.formally | 2, 97 |
| abstract_inverted_index.learning | 15 |
| abstract_inverted_index.querying | 53 |
| abstract_inverted_index.repeated | 6 |
| abstract_inverted_index.sharing, | 85 |
| abstract_inverted_index.Signaling | 105 |
| abstract_inverted_index.end-user. | 94 |
| abstract_inverted_index.framework | 107 |
| abstract_inverted_index.malicious | 45 |
| abstract_inverted_index.strategic | 5 |
| abstract_inverted_index.trade-off | 100 |
| abstract_inverted_index.associated | 19 |
| abstract_inverted_index.comprising | 11 |
| abstract_inverted_index.compromise | 57 |
| abstract_inverted_index.framework. | 118 |
| abstract_inverted_index.stochastic | 104 |
| abstract_inverted_index.equilibrium | 113 |
| abstract_inverted_index.explanation | 20, 32 |
| abstract_inverted_index.information | 68 |
| abstract_inverted_index.interactions | 7 |
| abstract_inverted_index.query/input, | 35 |
| abstract_inverted_index.characterizes | 109 |
| abstract_inverted_index.explanations) | 74 |
| abstract_inverted_index.strategically | 48, 64 |
| abstract_inverted_index.continuous-time | 103 |
| abstract_inverted_index.prediction/label | 29 |
| abstract_inverted_index.(honest/malicious) | 91 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.46000000834465027 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile |