11 citations · 15 across the 16 of their papers we have counts for
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Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator
Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai +3
Measuring divergence between two distributions is essential in machine learning and statistics and has various applications including binary classification, change point detection,…
"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study
Denny Wu, Yixiu Zhao, Yao-Hung Hubert Tsai +2
Recent works investigated the generalization properties in deep neural networks (DNNs) by studying the Information Bottleneck in DNNs. However, the mea- surement of the mutual info…
Selecting the Best in GANs Family: a Post Selection Inference Framework
Yao-Hung Hubert Tsai, Makoto Yamada, Denny Wu +3
"Which Generative Adversarial Networks (GANs) generates the most plausible images?" has been a frequently asked question among researchers. To address this problem, we first propos…