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Dimensionality Reduction

707 papers

Papers per year

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Papers

Mixed-Variate Restricted Boltzmann Machines ACML 2011
Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011
Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” AISTATS 2011
CAKE: Convex Adaptive Kernel Density Estimation AISTATS 2011
Dimensionality Reduction for Spectral Clustering AISTATS 2011
The Stationary Subspace Analysis Toolbox JMLR 2011
Random Projection Trees Revisited NIPS 2010
Efficient Optimization for Discriminative Latent Class Models NIPS 2010
Worst-Case Linear Discriminant Analysis NIPS 2010
Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NIPS 2010
Random Projections for $k$-means Clustering NIPS 2010
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks NIPS 2010
Sample Complexity of Testing the Manifold Hypothesis NIPS 2010
Humans Learn Using Manifolds, Reluctantly NIPS 2010
LSTD with Random Projections NIPS 2010
Unsupervised Kernel Dimension Reduction NIPS 2010
CUR from a Sparse Optimization Viewpoint NIPS 2010
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA NIPS 2010
Fast detection of multiple change-points shared by many signals using group LARS NIPS 2010
Robust PCA via Outlier Pursuit NIPS 2010
Simple Exponential Family PCA AISTATS 2010
Fluid Dynamics Models for Low Rank Discriminant Analysis AISTATS 2010
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks AISTATS 2010
Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation AISTATS 2010
Compressed Least-Squares Regression NIPS 2009