7 citations · 9 across the 2 of their papers we have counts for
2 papers
math.ST2020★ 7 cited
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…
math.ST2019★ 2 cited
Analysis of Networks via the Sparse -Model
Mingli Chen, Kengo Kato, Chenlei Leng
Data in the form of networks are increasingly available in a variety of areas, yet statistical models allowing for parameter estimates with desirable statistical properties for spa…