Dimensionality Reduction as Probabilistic Inference

15 April 2023

Papers citing "Dimensionality Reduction as Probabilistic Inference"

9 / 9 papers shown

Title
Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE Aditya Ravuri Neil D. Lawrence 60 2 0 27 May 2024
Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy I. Azangulov Alexander Terenin P. Mostowsky M. Deisenroth N. Durrande 40 82 0 29 Oct 2020
Bayesian Semi-supervised Learning with Graph Gaussian Processes Yin Cheng Ng Nicolo Colombo Ricardo M. A. Silva BDL 65 90 0 12 Sep 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 157 9,413 0 09 Feb 2018
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 85 1,304 0 22 May 2017
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 266 4,787 0 04 Jan 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 450 16,933 0 20 Dec 2013
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs Jun Zhu Ning Chen Eric Xing BDL 98 159 0 05 Oct 2012
A Tutorial on Spectral Clustering U. V. Luxburg 282 10,536 0 01 Nov 2007