Communication Efficient Parallel Algorithms for Optimization on Manifolds

Bayan Saparbayeva, Michael Minyi Zhang, Lizhen Lin

On Posterior Consistency of Tail Index for Bayesian Kernel Mixture Models

Cheng Li, Lizhen Lin, David B. Dunson

Robust and Parallel Bayesian Model Selection

Michael Minyi Zhang, Henry Lam, Lizhen Lin

Robust and Scalable Bayes via a Median of Subset Posterior Measures

Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin +1

Scale and curvature effects in principal geodesic analysis

Drew Lazar, Lizhen Lin

Omnibus CLTs for Fréchet means and nonparametric inference on non-Euclidean spaces

Rabi Bhattacharya, Lizhen Lin

Extrinsic local regression on manifold-valued data

Lizhen Lin, Brian St. Thomas, Hongtu Zhu +1

Extrinsic Gaussian processes for regression and classification on manifolds

Lizhen Lin, Mu Niu, Pokman Cheung +1

Bayesian Sparse Linear Regression with Unknown Symmetric Error

Minwoo Chae, Lizhen Lin, David B. Dunson

Data augmentation for models based on rejection sampling

Vinayak Rao, Lizhen Lin, David Dunson

Averages of Unlabeled Networks: Geometric Characterization and Asymptotic Behavior

Eric Kolaczyk, Lizhen Lin, Steven Rosenberg +2

Bounded Regression with Gaussian Process Projection

Jize Zhang, Lizhen Lin

Exact slice sampler for Hierarchical Dirichlet Processes

Arash A. Amini, Marina Paez, Lizhen Lin +1

Bayesian Bandwidth Test and Selection for High-dimensional Banded Precision Matrices

Kyoungjae Lee, Lizhen Lin

Minimax Posterior Convergence Rates and Model Selection Consistency in High-dimensional DAG Models based on Sparse Cholesky Factors

Kyoungjae Lee, Jaeyong Lee, Lizhen Lin

On clustering network-valued data

Soumendu Sundar Mukherjee, Purnamrita Sarkar, Lizhen Lin

Learning Subspaces of Different Dimension

Brian St. Thomas, Lizhen Lin, Lek-Heng Lim +1

Differential Geometry for Model Independent Analysis of Images and Other Non-Euclidean Data: Recent Developments

Rabi Bhattacharya, Lizhen Lin

Bayesian nonparametric inference on the Stiefel manifold

Lizhen Lin, Vinayak Rao, David B. Dunson

Bayesian Monotone Regression using Gaussian Process Projection

Lizhen Lin, David B. Dunson

Intrinsic Gaussian processes on complex constrained domains

Mu Niu, Pokman Cheung, Lizhen Lin +3

Change-point detection in dynamic networks via graphon estimation

Zifeng Zhao, Li Chen, Lizhen Lin

The paper introduces a model‑free method that first estimates the underlying graphon of a dynamic network using a modified neighborhood smoothing algorithm, then applies a screenin…