Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective-Reference-Cited by-同舟云学术

Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
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Author:

Xiao Teng¹^ORCID,Chen Zhengyu²^ORCID,Wang Suhang¹^ORCID

Affiliation:

1. The Pennsylvania State University, State College, PA, USA

2. Zhejiang University, Hangzhou, China

Funder

Cisco Faculty Research Award

Army Research Office (ARO)

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599487

Reference64 articles.

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4. David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver and Colin A Raffel. 2019. MixMatch: A Holistic Approach to Semi-Supervised Learning. NIPS. David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver and Colin A Raffel. 2019. MixMatch: A Holistic Approach to Semi-Supervised Learning. NIPS.

5. John Blitzer Koby Crammer Alex Kulesza Fernando Pereira and Jennifer Wortman. 2007. Learning Bounds for Domain Adaptation. NIPS. John Blitzer Koby Crammer Alex Kulesza Fernando Pereira and Jennifer Wortman. 2007. Learning Bounds for Domain Adaptation. NIPS.

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