
A spectralbased framework for hypothesis testing in populations of networks
In this paper, we propose a new spectralbased approach to hypothesis te...
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Accelerated Algorithms for Convex and NonConvex Optimization on Manifolds
We propose a general scheme for solving convex and nonconvex optimizati...
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Community detection, pattern recognition, and hypergraphbased learning: approaches using metric geometry and persistent homology
Hypergraph data appear and are hidden in many places in the modern age. ...
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Weight Prediction for Variants of Weighted Directed Networks
A weighted directed network (WDN) is a directed graph in which each edge...
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Neural TimeDependent Partial Differential Equation
Partial differential equations (PDEs) play a crucial role in studying a ...
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Bayesian Highdimensional Semiparametric Inference beyond subGaussian Errors
We consider a sparse linear regression model with unknown symmetric erro...
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Optimization of Graph Neural Networks with Natural Gradient Descent
In this work, we propose to employ informationgeometric tools to optimi...
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Optimal Bayesian estimation of Gaussian mixtures with growing number of components
We study posterior concentration properties of Bayesian procedures for e...
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Robust Optimization and Inference on Manifolds
We propose a robust and scalable procedure for general optimization and ...
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Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome
While the study of a single network is wellestablished, technological a...
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A projection approach for multiple monotone regression
Shapeconstrained inference has wide applicability in bioassay, medicine...
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Hypothesis testing for populations of networks
It has become an increasingly common practice for scientists in modern s...
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Changepoint detection in dynamic networks via graphon estimation
We propose a general approach for changepoint detection in dynamic netw...
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Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks
Multiplex networks have become increasingly more prevalent in many field...
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Exact slice sampler for Hierarchical Dirichlet Processes
We propose an exact slice sampler for Hierarchical Dirichlet process (HD...
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Minimax Posterior Convergence Rates and Model Selection Consistency in Highdimensional DAG Models based on Sparse Cholesky Factors
In this paper, we study the highdimensional sparse directed acyclic gra...
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Bounded Regression with Gaussian Process Projection
Examples with bound information on the regression function and density a...
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Communication Efficient Parallel Algorithms for Optimization on Manifolds
The last decade has witnessed an explosion in the development of models,...
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Hierarchical Network Item Response Modeling for Discovering Differences Between Innovation and Regular School Systems in Korea
The innovation school system has been implemented in Korea to cultivate ...
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Network Distance Based on Laplacian Flows on Graphs
Distance plays a fundamental role in measuring similarity between object...
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Maximum Pairwise Bayes Factors for Covariance Structure Testing
Hypothesis testing of structure in covariance matrices is of significant...
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Bayesian Test and Selection for Bandwidth of Highdimensional Banded Precision Matrices
Assuming a banded structure is one of the common practice in the estimat...
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Intrinsic Gaussian processes on complex constrained domains
We propose a class of intrinsic Gaussian processes (inGPs) for interpol...
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Differential Geometry for Model Independent Analysis of Images and Other NonEuclidean Data: Recent Developments
This article provides an exposition of recent methodologies for nonparam...
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Robust and Parallel Bayesian Model Selection
Effective and accurate model selection is an important problem in modern...
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On clustering networkvalued data
Community detection, which focuses on clustering nodes or detecting comm...
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Lizhen Lin
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