Relative Entropy Gradient Sampler for Unnormalized Distribution

Author:

Feng Xingdong1,Gao Yuan2ORCID,Huang Jian2,Jiao Yuling34,Liu Xu15ORCID

Affiliation:

1. School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China

2. Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong SAR, China

3. School of Mathematics and Statistics, Wuhan University, Wuhan, China

4. Hubei Key Laboratory of Computational Science, Wuhan University, Wuhan, China

5. Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University, Kunming, China

Funder

National Natural Science Foundation of China

Shanghai Science and Technology Development Funds

The Hong Kong Polytechnic University

Fundamental Research Funds for the Central Universities

KLATASDSMOE of China

Program for Innovative Research Team of SUFE

Open Research Fund of Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University

Publisher

Informa UK Limited

Reference41 articles.

1. Ambrosio, L., Gigli, N., and Savaré, G. (2008), Gradient Flows: in Metric Spaces and in the Space of Probability Measures, Basel: Springer.

2. Beal M. J. (2003). Variational Algorithms for Approximate Bayesian Inference. PhD thesis University College London.

3. Probability flow solution of the Fokker–Planck equation

4. The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming

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