Adapting to Latent Subgroup Shifts via Concepts and Proxies Article Swipe
Ibrahim Alabdulmohsin
,
Nicole Chiou
,
Alexander D’Amour
,
Arthur Gretton
,
Sanmi Koyejo
,
Matt J. Kusner
,
Stephen Pfohl
,
Olawale Salaudeen
,
Jessica Schrouff
,
Katherine Tsai
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2212.11254
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2212.11254
We address the problem of unsupervised domain adaptation when the source domain differs from the target domain because of a shift in the distribution of a latent subgroup. When this subgroup confounds all observed data, neither covariate shift nor label shift assumptions apply. We show that the optimal target predictor can be non-parametrically identified with the help of concept and proxy variables available only in the source domain, and unlabeled data from the target. The identification results are constructive, immediately suggesting an algorithm for estimating the optimal predictor in the target. For continuous observations, when this algorithm becomes impractical, we propose a latent variable model specific to the data generation process at hand. We show how the approach degrades as the size of the shift changes, and verify that it outperforms both covariate and label shift adjustment.
Related Topics
Concepts
Covariate
Latent variable
Proxy (statistics)
Latent variable model
Computer science
Domain adaptation
Constructive
Domain (mathematical analysis)
Identification (biology)
Artificial intelligence
Econometrics
Statistics
Process (computing)
Machine learning
Mathematics
Biology
Operating system
Mathematical analysis
Botany
Classifier (UML)
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2212.11254
- https://arxiv.org/pdf/2212.11254
- OA Status
- green
- Cited By
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4312108596
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4312108596Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2212.11254Digital Object Identifier
- Title
-
Adapting to Latent Subgroup Shifts via Concepts and ProxiesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-21Full publication date if available
- Authors
-
Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D’Amour, Arthur Gretton, Sanmi Koyejo, Matt J. Kusner, Stephen Pfohl, Olawale Salaudeen, Jessica Schrouff, Katherine TsaiList of authors in order
- Landing page
-
https://arxiv.org/abs/2212.11254Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2212.11254Direct 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/2212.11254Direct OA link when available
- Concepts
-
Covariate, Latent variable, Proxy (statistics), Latent variable model, Computer science, Domain adaptation, Constructive, Domain (mathematical analysis), Identification (biology), Artificial intelligence, Econometrics, Statistics, Process (computing), Machine learning, Mathematics, Biology, Operating system, Mathematical analysis, Botany, Classifier (UML)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 3Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.data | 70, 108 |
| abstract_inverted_index.from | 13, 71 |
| abstract_inverted_index.help | 56 |
| abstract_inverted_index.only | 63 |
| abstract_inverted_index.show | 44, 114 |
| abstract_inverted_index.size | 121 |
| abstract_inverted_index.that | 45, 128 |
| abstract_inverted_index.this | 29, 95 |
| abstract_inverted_index.when | 8, 94 |
| abstract_inverted_index.with | 54 |
| abstract_inverted_index.data, | 34 |
| abstract_inverted_index.hand. | 112 |
| abstract_inverted_index.label | 39, 134 |
| abstract_inverted_index.model | 104 |
| abstract_inverted_index.proxy | 60 |
| abstract_inverted_index.shift | 20, 37, 40, 124, 135 |
| abstract_inverted_index.apply. | 42 |
| abstract_inverted_index.domain | 6, 11, 16 |
| abstract_inverted_index.latent | 26, 102 |
| abstract_inverted_index.source | 10, 66 |
| abstract_inverted_index.target | 15, 48 |
| abstract_inverted_index.verify | 127 |
| abstract_inverted_index.address | 1 |
| abstract_inverted_index.because | 17 |
| abstract_inverted_index.becomes | 97 |
| abstract_inverted_index.concept | 58 |
| abstract_inverted_index.differs | 12 |
| abstract_inverted_index.domain, | 67 |
| abstract_inverted_index.neither | 35 |
| abstract_inverted_index.optimal | 47, 86 |
| abstract_inverted_index.problem | 3 |
| abstract_inverted_index.process | 110 |
| abstract_inverted_index.propose | 100 |
| abstract_inverted_index.results | 76 |
| abstract_inverted_index.target. | 73, 90 |
| abstract_inverted_index.approach | 117 |
| abstract_inverted_index.changes, | 125 |
| abstract_inverted_index.degrades | 118 |
| abstract_inverted_index.observed | 33 |
| abstract_inverted_index.specific | 105 |
| abstract_inverted_index.subgroup | 30 |
| abstract_inverted_index.variable | 103 |
| abstract_inverted_index.algorithm | 82, 96 |
| abstract_inverted_index.available | 62 |
| abstract_inverted_index.confounds | 31 |
| abstract_inverted_index.covariate | 36, 132 |
| abstract_inverted_index.predictor | 49, 87 |
| abstract_inverted_index.subgroup. | 27 |
| abstract_inverted_index.unlabeled | 69 |
| abstract_inverted_index.variables | 61 |
| abstract_inverted_index.adaptation | 7 |
| abstract_inverted_index.continuous | 92 |
| abstract_inverted_index.estimating | 84 |
| abstract_inverted_index.generation | 109 |
| abstract_inverted_index.identified | 53 |
| abstract_inverted_index.suggesting | 80 |
| abstract_inverted_index.adjustment. | 136 |
| abstract_inverted_index.assumptions | 41 |
| abstract_inverted_index.immediately | 79 |
| abstract_inverted_index.outperforms | 130 |
| abstract_inverted_index.distribution | 23 |
| abstract_inverted_index.impractical, | 98 |
| abstract_inverted_index.unsupervised | 5 |
| abstract_inverted_index.constructive, | 78 |
| abstract_inverted_index.observations, | 93 |
| abstract_inverted_index.identification | 75 |
| abstract_inverted_index.non-parametrically | 52 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 10 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.4099999964237213 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile |