Fast Optimization for t-SNE

The paper presents an alternative optimization technique for t-SNE that is orders of magnitude faster than the original optimization technique, and that produces results that are at least as good.

[1]  Stephen J. Wright,et al.  Numerical Optimization , 2018, Fundamental Statistical Inference.

[2]  Andrew R. Jamieson,et al.  Exploring nonlinear feature space dimension reduction and data representation in breast Cadx with Laplacian eigenmaps and t-SNE. , 2009, Medical physics.

[3]  Christopher J. C. Burges,et al.  Dimension Reduction: A Guided Tour , 2010, Found. Trends Mach. Learn..

[4]  G. Zoutendijk,et al.  Methods of Feasible Directions , 1962, The Mathematical Gazette.

[5]  Michel Verleysen,et al.  Nonlinear Dimensionality Reduction , 2021, Computer Vision.

[6]  Eric O. Postma,et al.  Texton-based analysis of paintings , 2010, Optical Engineering + Applications.

[7]  Yoshua Bengio,et al.  Why Does Unsupervised Pre-training Help Deep Learning? , 2010, AISTATS.

[8]  Robert A. Jacobs,et al.  Increased rates of convergence through learning rate adaptation , 1987, Neural Networks.

[9]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[10]  Michael I. Jordan,et al.  DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification , 2008, NIPS.

[11]  Miguel Á. Carreira-Perpiñán,et al.  The Elastic Embedding Algorithm for Dimensionality Reduction , 2010, ICML.

[12]  Olivier Thonnard,et al.  An Experimental Study of Diversity with Off-the-Shelf AntiVirus Engines , 2009, 2009 Eighth IEEE International Symposium on Network Computing and Applications.

[13]  Marc Dacier,et al.  Addressing the attack attribution problem using knowledge discovery and multi-criteria fuzzy decision-making , 2009, CSI-KDD '09.

[14]  Krishnakumar Balasubramanian,et al.  Dimensionality Reduction for Text using Domain Knowledge , 2010, COLING.

[15]  Eric O. Postma,et al.  Dimensionality Reduction: A Comparative Review , 2008 .