Scalar Internet - MultiDensity Properties of Internet - Anéeka of Temmer (Taygeta, Pleiades)

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'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

'Nearest Neighbor Dirichlet Mixtures', by Shounak Chattopadhyay, Antik Chakraborty, David B. Dunson.

http://jmlr.org/papers/v24/21-0116.html

#bayesian #densities #classification

Nearest Neighbor Dirichlet Mixtures

About the Cost of Central Privacy in Density Estimation

Clément Lalanne, Aurélien Garivier, Rémi Gribonval

Action editor: Gautam Kamath.

https://openreview.net/forum?id=uq29MIWvIV

#privacy #estimation #densities

About the Cost of Central Privacy in Density Estimation

We study non-parametric density estimation for densities in Lipschitz and Sobolev spaces, and under central privacy. In particular, we investigate regimes where the privacy budget is not supposed...

OpenReview

'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

Concentration analysis of multivariate elliptic diffusions

'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

Density estimation on low-dimensional manifolds: an inflation-deflation approach

'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

Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning

Manifold Density Estimation via Generalized Dequantization

https://openreview.net/forum?id=MnnoMhFeFb

#manifolds #manifold #densities

Manifold Density Estimation via Generalized Dequantization

Density estimation is an important technique for characterizing distributions given observations. Much existing research on density estimation has focused on cases wherein the data lies in a...

OpenReview