high-dimensional data

Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 2015 Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso NeurIPS 2015 Similarity Learning for High-Dimensional Sparse Data AISTATS 2015 Streaming Sparse Principal Component Analysis ICML 2015 Subspace Clustering by Mixture of Gaussian Regression CVPR 2015 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014 A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data ICML 2014 Dual Query: Practical Private Query Release for High Dimensional Data ICML 2014 Fast Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014 Mode Estimation for High Dimensional Discrete Tree Graphical Models NeurIPS 2014 Parallel Feature Selection Inspired by Group Testing NeurIPS 2014 Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems JMLR 2014 Probabilistic Partial Canonical Correlation Analysis ICML 2014 Random Intersection Trees JMLR 2014 Sparse PCA via Covariance Thresholding NeurIPS 2014 Faster Ridge Regression via the Subsampled Randomized Hadamard Transform NeurIPS 2013 Fast Subspace Search via Grassmannian Based Hashing ICCV 2013 Memory Limited, Streaming PCA NeurIPS 2013 One-shot learning and big data with n=2 NeurIPS 2013 Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension AISTATS 2013 Principal Component Analysis on non-Gaussian Dependent Data ICML 2013 q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NeurIPS 2013 Rapid Distance-Based Outlier Detection via Sampling NeurIPS 2013 Recovering the Optimal Solution by Dual Random Projection COLT 2013 Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NeurIPS 2013