Mathematics
Probability
Scientist
LTCI
A Random Search Framework for Convergence Analysis of Distributed Beamforming with Feedback
Classification with High-Dimensional Sparse Samples
Feature Extraction for Universal Hypothesis Testing via Rank-constrained Optimization
Generalized Error Exponents for Sparse Sample Goodness of Fit Tests
Minimax Robust Quickest Change Detection
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