9 citations · 36 across the 17 of their papers we have counts for
5 papers · 1 filter
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…