high-dimensional data

Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data IJCAI 2013 Sign Cauchy Projections and Chi-Square Kernel NeurIPS 2013 Angular Quantization-based Binary Codes for Fast Similarity Search NeurIPS 2012 A nonparametric variable clustering model NeurIPS 2012 High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Local and Global Scaling Reduce Hubs in Space JMLR 2012 Marginal Regression For Multitask Learning AISTATS 2012 Clustered Multi-Task Learning Via Alternating Structure Optimization NeurIPS 2011 Data Skeletonization via Reeb Graphs NeurIPS 2011 Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NeurIPS 2011 Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011 Unsupervised Supervised Learning II: Margin-Based Classification Without Labels JMLR 2011 Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NeurIPS 2010 Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data JMLR 2010 The Group Dantzig Selector AISTATS 2010 Anomaly Detection with Score functions based on Nearest Neighbor Graphs NeurIPS 2009 Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection JMLR 2009 Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions NeurIPS 2009 Regularized Distance Metric Learning:Theory and Algorithm NeurIPS 2009 Submanifold density estimation NeurIPS 2009 Algorithms for Sparse Linear Classifiers in the Massive Data Setting JMLR 2008 A Library for Locally Weighted Projection Regression JMLR 2008 Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NeurIPS 2008 Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NeurIPS 2008