conftrace_

dimension reduction

120 papers

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Also known as

DR

Co-occurring keywords

dimensionality reduction (720) random projection (145) unsupervised learning (3264) principal component analysis (316) manifold learning (403) functional data analysis (35) high-dimensional datum (158) kernel methods (1097) feature selection (649) variable selection (146)

Papers

On $b$-bit Min-wise Hashing for Large-scale Regression and Classification with Sparse Data JMLR 2018
Fast Similarity Search via Optimal Sparse Lifting NIPS 2018
Fully Understanding The Hashing Trick NIPS 2018
Fast Randomized PCA for Sparse Data ACML 2018
Fast Network Embedding Enhancement via High Order Proximity Approximation IJCAI 2017
Learning Neural Representations of Human Cognition across Many fMRI Studies NIPS 2017
Adaptive Randomized Dimension Reduction on Massive Data JMLR 2017
Clustering with Hidden Markov Model on Variable Blocks JMLR 2017
Recovering PCA and Sparse PCA via Hybrid-(l1,l2) Sparse Sampling of Data Elements JMLR 2017
Projective Low-rank Subspace Clustering via Learning Deep Encoder IJCAI 2017
Kernel Feature Selection via Conditional Covariance Minimization NIPS 2017
Whitening-Free Least-Squares Non-Gaussian Component Analysis ACML 2017
Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking AISTATS 2016
Binary Embedding: Fundamental Limits and Fast Algorithm ICML 2015
Approximating Sparse PCA from Incomplete Data NIPS 2015
New Bounds on Compressive Linear Least Squares Regression AISTATS 2014
Local Ordinal Embedding ICML 2014
Multi-label Classification via Feature-aware Implicit Label Space Encoding ICML 2014
Making Fisher Discriminant Analysis Scalable ICML 2014
Forecastable Component Analysis ICML 2013
Tapkee: An Efficient Dimension Reduction Library JMLR 2013
Topic Discovery through Data Dependent and Random Projections ICML 2013
Gradient-based kernel method for feature extraction and variable selection NIPS 2012
Minimax Manifold Estimation JMLR 2012
Sparse Higher-Order Principal Components Analysis AISTATS 2012