2.5k citations · 3.4k across the 49 of their papers we have counts for
53 papers
Gradient-Guided Density Peak Clustering
Yikun Zhang, Yen-Chi Chen
Density peak clustering (DPC) connects each observation to its nearest neighbor of higher density and identifies cluster centers as high-density observations with unusually large n…
On efficiency gains via augmenting a tiny sample with a massive auxiliary sample
Yen-Chi Chen
In this paper, we study the problem of augmenting a tiny target sample with a massive auxiliary sample. Utilizing Tukey's factorization, there are two popular approaches: the inver…
Bayesian Finite Mixtures of Ising Models
Zhen Miao, Yen-Chi Chen, Adrian Dobra
We introduce finite mixtures of Ising models as a novel approach to study multivariate patterns of associations of binary variables. Our proposed models combine the strengths of Is…
Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure
Zeyu Wei, Yen-Chi Chen
We introduce a new regression framework designed to deal with large-scale, complex data that lies around a low-dimensional manifold with noises. Our approach first constructs a gra…
SCONCE: A cosmic web finder for spherical and conic geometries
Yikun Zhang, Rafael S. de Souza, Yen-Chi Chen
The latticework structure known as the cosmic web provides a valuable insight into the assembly history of large-scale structures. Despite the variety of methods to identify the co…
Handling Nonmonotone Missing Data with Available Complete-Case Missing Value Assumption
Gang Cheng, Yen-Chi Chen, Maureen A. Smith +1
Nonmonotone missing data is a common problem in scientific studies. The conventional ignorability and missing-at-random (MAR) conditions are unlikely to hold for nonmonotone missin…
Long-term effect estimation when combining clinical trial and observational follow-up datasets
Gang Cheng, Yen-Chi Chen, Joseph M. Unger +2
Combining experimental and observational follow-up datasets has received much attention lately. In a survival setting, recent work has used Medicare claims to extend the follow-up…
Efficient Community Detection in Large-Scale Dynamic Networks Using Topological Data Analysis
Wei Guo, Ruqian Chen, Yen-Chi Chen +1
In this paper, we propose a method that extends the persistence-based topological data analysis (TDA) that is typically used for characterizing shapes to general networks. We intro…
The emptiness inside: Finding gaps, valleys, and lacunae with geometric data analysis
Gabriella Contardo, David W. Hogg, Jason A. S. Hunt +2
Discoveries of gaps in data have been important in astrophysics. For example, there are kinematic gaps opened by resonances in dynamical systems, or exoplanets of a certain radius…
Multistage Estimators for Missing Covariates and Incomplete Outcomes
Daniel Suen, Yen-Chi Chen
We study problems with multiple missing covariates and partially observed responses. We develop a new framework to handle complex missing covariate scenarios via inverse probabilit…
Data Harmonization Via Regularized Nonparametric Mixing Distribution Estimation
Steven Wilkins-Reeves, Yen-Chi Chen, Kwun Chuen Gary Chan
Data harmonization is the process by which an equivalence is developed between two variables measuring a common trait. Our problem is motivated by dementia research in which multip…
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach
Yikun Zhang, Yen-Chi Chen
The set of local modes and density ridge lines are important summary characteristics of the data-generating distribution. In this work, we focus on estimating local modes and densi…
Linear Convergence of the Subspace Constrained Mean Shift Algorithm: From Euclidean to Directional Data
Yikun Zhang, Yen-Chi Chen
This paper studies the linear convergence of the subspace constrained mean shift (SCMS) algorithm, a well-known algorithm for identifying a density ridge defined by a kernel densit…
Skeleton Clustering: Dimension-Free Density-based Clustering
Zeyu Wei, Yen-Chi Chen
We introduce a density-based clustering method called skeleton clustering that can detect clusters in multivariate and even high-dimensional data with irregular shapes. To bypass t…
The EM Perspective of Directional Mean Shift Algorithm
Yikun Zhang, Yen-Chi Chen
The directional mean shift (DMS) algorithm is a nonparametric method for pursuing local modes of densities defined by kernel density estimators on the unit hypersphere. In this pap…
Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data
Yikun Zhang, Yen-Chi Chen
Directional data consist of observations distributed on a (hyper)sphere, and appear in many applied fields, such as astronomy, ecology, and environmental science. This paper studie…
Pattern graphs: a graphical approach to nonmonotone missing data
Yen-Chi Chen
We introduce the concept of pattern graphs--directed acyclic graphs representing how response patterns are associated. A pattern graph represents an identifying restriction that is…
Polygames: Improved Zero Learning
Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen +21
Since DeepMind's AlphaZero, Zero learning quickly became the state-of-the-art method for many board games. It can be improved using a fully convolutional structure (no fully connec…
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era
Brian Nord, Andrew J. Connolly, Jamie Kinney +35
The field of astronomy has arrived at a turning point in terms of size and complexity of both datasets and scientific collaboration. Commensurately, algorithms and statistical mode…
A statistical framework for measuring the temporal stability of human mobility patterns
Zhihang Dong, Yen-Chi Chen, Adrian Dobra
Despite the growing popularity of human mobility studies that collect GPS location data, the problem of determining the minimum required length of GPS monitoring has not been addre…
Nonparametric Pattern-Mixture Models for Inference with Missing Data
Yen-Chi Chen, Mauricio Sadinle
Pattern-mixture models provide a transparent approach for handling missing data, where the full-data distribution is factorized in a way that explicitly shows the parts that can be…
Alignment between filaments and galaxy spins from the MaNGA integral-field survey
Alex Krolewski, Shirley Ho, Yen-Chi Chen +4
Halos and galaxies acquire their angular momentum during the collapse of surrounding large-scale structure. This process imprints alignments between galaxy spins and nearby filamen…
Statistical Inference with Local Optima
Yen-Chi Chen
We study the statistical properties of an estimator derived by applying a gradient ascent method with multiple initializations to a multi-modal likelihood function. We derive the p…
Detecting Galaxy-Filament Alignments in the Sloan Digital Sky Survey III
Yen-Chi Chen, Shirley Ho, Jonathan Blazek +4
Previous studies have shown the filamentary structures in the cosmic web influence the alignments of nearby galaxies. We study this effect in the LOWZ sample of the Sloan Digital S…