A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets
- Award ID(s):
- 2134037
- NSF-PAR ID:
- 10348825
- Publisher / Repository:
- IEEE Explore
- Date Published:
- Journal Name:
- 2022 IEEE International Symposium on Information Theory (ISIT)
- Page Range / eLocation ID:
- 3315 to 3320
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/ISIT50566.2022.9834367
