2 citations · 5 across the 8 of their papers we have counts for
10 papers
Rapid Mixing of Stereographic MCMC for Heavy-Tailed Sampling
Federica Milinanni, Tyler Farghly, Jun Yang
Sampling from high-dimensional, heavy-tailed distributions is a fundamental challenge in computational statistics, as many standard Markov chain Monte Carlo (MCMC) methods mix poor…
Markov Chain Monte Carlo with Diffusion Paths
Han Chen, Sifan Liu, Jun Yang
Sampling from multimodal distributions is a longstanding challenge for classical local Markov chain Monte Carlo (MCMC) methods. A popular remedy is to introduce a sequence of inter…
Sub-Cauchy Sampling: Escaping the Dark Side of the Moon
Sebastiano Grazzi, Sifan Liu, Gareth O. Roberts +1
We introduce a Markov chain Monte Carlo algorithm based on Sub-Cauchy Projection, a geometric transformation that generalizes stereographic projection by mapping Euclidean space in…
Finding Non-Redundant Simpson's Paradox from Multidimensional Data
Yi Yang, Jian Pei, Jun Yang +1
Simpson's paradox, a long-standing statistical phenomenon, describes the reversal of an observed association when data are disaggregated into sub-populations. It has critical impli…
Wasserstein and Convex Gaussian Approximations for Non-stationary Time Series of Diverging Dimensionality
Miaoshiqi Liu, Jun Yang, Zhou Zhou
In high-dimensional time series analysis, Gaussian approximation (GA) schemes under various distance measures or on various collections of subsets of the Euclidean space play a fun…
Stereographic Multiple-Try Metropolis
Zhihao Wang, Jun Yang
Multiple-proposal MCMC algorithms have recently gained attention for their potential to improve performance, especially through parallel implementation on modern hardware. We intro…
Gaussian Approximation and Output Analysis for High-Dimensional MCMC
Ardjen Pengel, Jun Yang, Zhou Zhou
The widespread use of Markov Chain Monte Carlo (MCMC) methods for high-dimensional applications has motivated research into the scalability of these algorithms with respect to the…
Diverse and Lifespan Facial Age Transformation Synthesis with Identity Variation Rationality Metric
Jiu-Cheng Xie, Jun Yang, Wenqing Wang +3
Face aging has received continuous research attention over the past two decades. Although previous works on this topic have achieved impressive success, two longstanding problems r…
Drift, Minorization, and Hitting Times
Robert M. Anderson, Haosui Duanmu, Aaron Smith +1
The "drift-and-minorization" method, introduced and popularized in (Rosenthal, 1995; Meyn and Tweedie, 1994; Meyn and Tweedie, 2012), remains the most popular approach for bounding…
Lower Bounds on the Probability of a Finite Union of Events
Jun Yang, Fady Alajaji, Glen Takahara
In this paper, lower bounds on the probability of a finite union of events are considered, i.e. , in terms of the individual event probabilities…