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math.ST2026
Regularization vs. Convolution in Kernel-Based Hypothesis Testing
Omar Hagrass, Bharath K. Sriperumbudur
The maximum mean discrepancy (MMD) test is a popular nonparametric test on general domains. Two lines of work have studied its optimality through structurally different approaches.…
stat.ML2026
Coupled Training with Privileged Information and Unlabeled Data
Jiahao Shi, Omar Hagrass, Jason M. Klusowski
In many prediction problems, we have extra information during training (for example, measurements that are expensive or slow to collect) that will not be available when the model i…