Yen-Chi Chen

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Carnegie Mellon University ∙ University of Washington

Assistant professor in the Department of Statistics and a data science fellow in the eScience Institute at the University of Washington

Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data

Directional data consist of observations distributed on a (hyper)sphere,...
10/23/2020 ∙ by Yikun Zhang, et al. ∙ 10 ∙ share

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Pattern graphs: a graphical approach to nonmonotone missing data

We introduce the concept of pattern graphs–directed acyclic graphs repre...
04/01/2020 ∙ by Yen-Chi Chen, et al. ∙ 0 ∙ share

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Solution manifold and Its Statistical Applications

A solution manifold is the collection of points in a d-dimensional space...
02/13/2020 ∙ by Yen-Chi Chen, et al. ∙ 0 ∙ share

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Polygames: Improved Zero Learning

Since DeepMind's AlphaZero, Zero learning quickly became the state-of-th...
01/27/2020 ∙ by Tristan Cazenave, et al. ∙ 12 ∙ share

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Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era

The field of astronomy has arrived at a turning point in terms of size a...
11/05/2019 ∙ by Brian Nord, et al. ∙ 0 ∙ share

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A statistical framework for measuring the temporal stability of human mobility patterns

Despite the growing popularity of human mobility studies that collect GP...
08/24/2019 ∙ by Zhihang Dong, et al. ∙ 0 ∙ share

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Nonparametric Pattern-Mixture Models for Inference with Missing Data

Pattern-mixture models provide a transparent approach for handling missi...
04/24/2019 ∙ by Yen-Chi Chen, et al. ∙ 0 ∙ share

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Statistical Inference with Local Optima

We study the statistical properties of an estimator derived by applying ...
07/12/2018 ∙ by Yen-Chi Chen, et al. ∙ 0 ∙ share

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Detecting Galaxy-Filament Alignments in the Sloan Digital Sky Survey III

Previous studies have shown the filamentary structures in the cosmic web...
05/01/2018 ∙ by Yen-Chi Chen, et al. ∙ 0 ∙ share

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Functional Summaries of Persistence Diagrams

One of the primary areas of interest in applied algebraic topology is pe...
04/04/2018 ∙ by Eric Berry, et al. ∙ 0 ∙ share

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On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example

Variational inference is a general approach for approximating complex de...
11/29/2017 ∙ by Yen-Chi Chen, et al. ∙ 0 ∙ share

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A Note on Community Trees in Networks

We introduce the concept of community trees that summarizes topological ...
10/11/2017 ∙ by Ruqian Chen, et al. ∙ 0 ∙ share

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Oracle Importance Sampling for Stochastic Simulation Models

We consider the problem of estimating an expected outcome from a stochas...
10/02/2017 ∙ by Yen-Chi Chen, et al. ∙ 0 ∙ share

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Statistical Inference Using Mean Shift Denoising

In this paper, we study how the mean shift algorithm can be used to deno...
10/13/2016 ∙ by Yunhua Xiang, et al. ∙ 0 ∙ share

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Statistical Inference for Cluster Trees

A cluster tree provides a highly-interpretable summary of a density func...
05/20/2016 ∙ by Jisu Kim, et al. ∙ 0 ∙ share

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Statistical Analysis of Persistence Intensity Functions

Persistence diagrams are two-dimensional plots that summarize the topolo...
10/08/2015 ∙ by Yen-Chi Chen, et al. ∙ 0 ∙ share

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Statistical Inference using the Morse-Smale Complex

The Morse-Smale complex of a function f decomposes the sample space into...
06/29/2015 ∙ by Yen-Chi Chen, et al. ∙ 0 ∙ share

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Optimal Ridge Detection using Coverage Risk

We introduce the concept of coverage risk as an error measure for densit...
06/07/2015 ∙ by Yen-Chi Chen, et al. ∙ 0 ∙ share

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Risk Bounds For Mode Clustering

Density mode clustering is a nonparametric clustering method. The cluste...
05/03/2015 ∙ by Martin Azizyan, et al. ∙ 0 ∙ share

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Nonparametric modal regression

Modal regression estimates the local modes of the distribution of Y give...
12/04/2014 ∙ by Yen-Chi Chen, et al. ∙ 0 ∙ share

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Yen-Chi Chen

Featured Co-authors

Larry Wasserman

Aarti Singh

Sivaraman Balakrishnan

Gabriel Synnaeve

Alessandro Rinaldo

Wei Guo

Ryan J. Tibshirani

Olivier Teytaud

Shirley Ho

Daren Wang

Sergey Zagoruyko

Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data

Pattern graphs: a graphical approach to nonmonotone missing data

Solution manifold and Its Statistical Applications

Polygames: Improved Zero Learning

Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era

A statistical framework for measuring the temporal stability of human mobility patterns

Nonparametric Pattern-Mixture Models for Inference with Missing Data

Statistical Inference with Local Optima

Detecting Galaxy-Filament Alignments in the Sloan Digital Sky Survey III

Functional Summaries of Persistence Diagrams

On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example

A Note on Community Trees in Networks

Oracle Importance Sampling for Stochastic Simulation Models

Statistical Inference Using Mean Shift Denoising

Statistical Inference for Cluster Trees

Statistical Analysis of Persistence Intensity Functions

Statistical Inference using the Morse-Smale Complex

Optimal Ridge Detection using Coverage Risk

Risk Bounds For Mode Clustering

Nonparametric modal regression