'Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions', by Natesh S. Pillai.
http://jmlr.org/papers/v25/23-0139.html
#langevin #densities #diffusion
'Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions', by Natesh S. Pillai.
http://jmlr.org/papers/v25/23-0139.html
#langevin #densities #diffusion
'Nearest Neighbor Dirichlet Mixtures', by Shounak Chattopadhyay, Antik Chakraborty, David B. Dunson.
http://jmlr.org/papers/v24/21-0116.html
#bayesian #densities #classification
About the Cost of Central Privacy in Density Estimation
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
Action editor: Gautam Kamath.
'Concentration analysis of multivariate elliptic diffusions', by Lukas Trottner, Cathrine Aeckerle-Willems, Claudia Strauch.
http://jmlr.org/papers/v24/22-0666.html
#diffusions #diffusion #densities
'Density estimation on low-dimensional manifolds: an inflation-deflation approach', by Christian Horvat, Jean-Pascal Pfister.
http://jmlr.org/papers/v24/21-0235.html
#manifolds #manifold #densities
'Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning', by Linxi Liu, Dangna Li, Wing Hung Wong.
http://jmlr.org/papers/v24/20-060.html
#densities #density #nonparametric
Manifold Density Estimation via Generalized Dequantization