9 citations · 36 across the 17 of their papers we have counts for
18 papers
Entropic regularization of Monge's problem
Marcel Nutz, Chenyang Zhong
We study the vanishing-regularization limit of entropically regularized optimal transport (EOT) for the Euclidean distance cost in dimension . We develop a co…
Variational Inference for Latent Variable Models in High Dimensions
Chenyang Zhong, Sumit Mukherjee, Bodhisattva Sen
Variational inference (VI) is a popular method for approximating intractable posterior distributions in Bayesian inference and probabilistic machine learning. In this paper, we int…
Counting the number of group orbits by marrying the Burnside process with importance sampling
Persi Diaconis, Chenyang Zhong
This paper introduces a novel and general algorithm for approximately counting the number of orbits under group actions. The method is based on combining the Burnside process and i…
A Particle Algorithm for Mean-Field Variational Inference
Qiang Du, Kaizheng Wang, Edith Zhang +1
Variational inference is a fast and scalable alternative to Markov chain Monte Carlo and has been widely applied to posterior inference tasks in statistics and machine learning. A…
Graph-Enabled Efficient Federated Bayesian Modeling
Chenyang Zhong, Shouxuan Ji, Tian Zheng
Federated Bayesian modeling requires combining evidence across distributed data holders while preserving posterior uncertainty and keeping local data decentralized. We propose Fede…
Large deviation principle for the Airy point process
Chenyang Zhong
The Airy point process is a determinantal point process that arises from the spectral edge of the Gaussian Unitary Ensemble. In this paper, we establish a large deviation principle…
Efficient Generative Modeling via Penalized Optimal Transport Network
Wenhui Sophia Lu, Chenyang Zhong, Wing Hung Wong
The generation of synthetic data with distributions that faithfully emulate the underlying data-generating mechanism holds paramount significance. Wasserstein Generative Adversaria…
Colored stochastic vertex models with U-turn boundary
Chenyang Zhong
In this paper, we introduce a class of colored stochastic vertex models with U-turn right boundary. The vertex weights in the models satisfy the Yang-Baxter equations and the refle…
Cycle structure of Mallows permutation model with the distance
Chenyang Zhong
Introduced by Mallows as a ranking model in statistics, Mallows permutation model is a class of non-uniform probability distributions on the symmetric group . The model depend…
The length of the longest increasing subsequence of Mallows permutation models with and distances
Chenyang Zhong
Introduced by Mallows in statistical ranking theory, Mallows permutation model is a class of non-uniform probability measures on the symmetric group that depend on a distance…
Computation of partition functions of free fermionic solvable lattice models via permutation graphs
Chenyang Zhong
In this paper, we introduce a novel and general method for computing partition functions of solvable lattice models with free fermionic Boltzmann weights. The method is based on th…
Mallows permutation models with and distances I: hit and run algorithms and mixing times
Chenyang Zhong
Mallows permutation model, introduced by Mallows in statistical ranking theory, is a class of non-uniform probability measures on the symmetric group . The model depends on a…
Convergence rate of a collapsed Gibbs sampler for crossed random effects models
Swarnadip Ghosh, Chenyang Zhong
In this paper, we analyze the convergence rate of a collapsed Gibbs sampler for crossed random effects models. Our results apply to a substantially larger range of models than prev…
Survival stacking: casting survival analysis as a classification problem
Erin Craig, Chenyang Zhong, Robert Tibshirani
While there are many well-developed data science methods for classification and regression, there are relatively few methods for working with right-censored data. Here, we present…
Stochastic symplectic ice
Chenyang Zhong
In this paper, we construct solvable ice models (six-vertex models) with stochastic weights and U-turn right boundary, which we term ``stochastic symplectic ice''. The models consi…
Hahn polynomials and the Burnside process
Persi Diaconis, Chenyang Zhong
We study a natural Markov chain on with eigenvectors the Hahn polynomials. This explicit diagonalization makes it possible to get sharp rates of convergence to s…
Large deviation bounds for the Airy point process
Chenyang Zhong
In this paper, we establish the first large deviation bounds for the Airy point process. The proof is based on a novel approach which relies upon the approximation of the Airy poin…
Survival analysis as a classification problem
Chenyang Zhong, Robert Tibshirani
In this paper, we explore a method for treating survival analysis as a classification problem. The method uses a "stacking" idea that collects the features and outcomes of the surv…