Zobrazeno 1 - 10 of 85 pro vyhledávání: '"Sainyam Galhotra"'
1
Revisiting Online Data Markets in 2022
Autor: Javen Kennedy, Pranav Subramaniam, Sainyam Galhotra, Raul Castro Fernandez
Publikováno v: ACM SIGMOD Record. 51:30-37
Well-functioning data markets match sellers with buyers to allocate data effectively. Although most of today's data markets fall short of this ideal, there is a renewed interest in online data marketplaces that may fulfill the promise of data markets
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::67a084a3c28be37333af344995dbe97e
https://doi.org/10.1145/3572751.3572757
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2
Akademický článek
Interventional Fairness with Indirect Knowledge of Unobserved Protected Attributes
Autor: Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney
Publikováno v: Entropy, Vol 23, Iss 12, p 1571 (2021)
The deployment of machine learning (ML) systems in applications with societal impact has motivated the study of fairness for marginalized groups. Often, the protected attribute is absent from the training dataset for legal reasons. However, datasets
Externí odkaz: https://doaj.org/article/b75d79d5f2a94e949c2f858a7538ed22
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3
Automated relational data explanation using external semantic knowledge
Autor: Sainyam Galhotra, Udayan Khurana
Publikováno v: Proceedings of the VLDB Endowment. 15:3562-3565
In data science problems, understanding the data is a crucial first step. However, it can be challenging and time intensive for a data scientist who is not an expert in that domain. Several downstream tasks such as feature engineering and data curati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::40e8645b2bbcb4cf0d6bfe7276775414
https://doi.org/10.14778/3554821.3554844
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8
Semantic Concept Annotation for Tabular Data
Autor: Udayan Khurana, Sainyam Galhotra
Publikováno v: CIKM
Determining the semantic concepts of columns in tabular data is of use for many applications ranging from data integration, cleaning, search to feature engineering and model building in machine learning. Several prior works have proposed supervised l
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::47898810590e6da591ba1db5b1482dd4
https://doi.org/10.1145/3459637.3482295
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9
Interventional Fairness with Indirect Knowledge of Unobserved Protected Attributes
Autor: Prasanna Sattigeri, Sainyam Galhotra, Kush R. Varshney, Karthikeyan Shanmugam
Publikováno v: Entropy
Entropy, Vol 23, Iss 1571, p 1571 (2021)
Entropy; Volume 23; Issue 12; Pages: 1571
The deployment of machine learning (ML) systems in applications with societal impact has motivated the study of fairness for marginalized groups. Often, the protected attribute is absent from the training dataset for legal reasons. However, datasets
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5d30d6ef3b93496458932a5d851961e
https://pubmed.ncbi.nlm.nih.gov/34945877
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10
Adaptive Rule Discovery for Labeling Text Data
Autor: Behzad Golshan, Wang-Chiew Tan, Sainyam Galhotra
Publikováno v: SIGMOD Conference
Creating and collecting labeled data is one of the major bottlenecks in machine learning pipelines and the emergence of automated feature generation techniques such as deep learning, which typically requires a lot of training data, has further exacer
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72a85c5af124b9cf897c1fa86a1b6b45
https://doi.org/10.1145/3448016.3457334
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