322 citations · 1.3k across the 48 of their papers we have counts for
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Inference for high-dimensional exchangeable arrays
Harold D. Chiang, Kengo Kato, Yuya Sasaki
We consider inference for high-dimensional separately and jointly exchangeable arrays where the dimensions may be much larger than the sample sizes. For both exchangeable arrays, w…
Bootstrap inference for quantile-based modal regression
Tao Zhang, Kengo Kato, David Ruppert
In this paper, we develop uniform inference methods for the conditional mode based on quantile regression. Specifically, we propose to estimate the conditional mode by minimizing t…
Stratified incomplete local simplex tests for curvature of nonparametric multiple regression
Yanglei Song, Xiaohui Chen, Kengo Kato
Principled nonparametric tests for regression curvature in are often statistically and computationally challenging. This paper introduces the stratified incomplete…
Limit Distribution for Smooth Total Variation and -Divergence in High Dimensions
Ziv Goldfeld, Kengo Kato
Statistical divergences are ubiquitous in machine learning as tools for measuring discrepancy between probability distributions. As these applications inherently rely on approximat…
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
Ziv Goldfeld, Kristjan Greenewald, Kengo Kato
Minimum distance estimation (MDE) gained recent attention as a formulation of (implicit) generative modeling. It considers minimizing, over model parameters, a statistical distance…