TU1.R4.3

Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets

Jie Wang, Georgia Institute of Technology, United States; Rui Gao, University of Texas at Austin, United States; Yao Xie, Georgia Institute of Technology, United States
Session:
Hypothesis Testing 1
Track:
11: Information Theory and Statistics
Location:
Omikron II
Presentation Time:
Tue, 9 Jul, 10:25 - 10:45
Session Chair:
Venugopal Veeravalli, University of Illinois at Urbana-Champaign
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Session TU1.R4
TU1.R4.1: The optimal finite-sample error probability in asymmetric binary hypothesis testing
Valentinian Lungu, Ioannis Kontoyiannis, University of Cambridge, United Kingdom
TU1.R4.2: Asymptotically optimal multistage tests for multihypothesis testing
Yiming Xing, Tongji University, China; Georgios Fellouris, University of Illinois, Urbana-Champaign, United States
TU1.R4.3: Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets
Jie Wang, Georgia Institute of Technology, United States; Rui Gao, University of Texas at Austin, United States; Yao Xie, Georgia Institute of Technology, United States
TU1.R4.4: Robust Multi-Hypothesis Testing with Moment-Constrained Uncertainty Sets
Akshayaa Magesh, University of Illinois at Urbana-Champaign, United States; Zhongchang Sun, University at Buffalo, State University of New York, United States; Venugopal Veeravalli, University of Illinois at Urbana-Champaign, United States; Shaofeng Zou, University at Buffalo, State University of New York, United States
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