Dimensionality Reduction

An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering ACML 2018 A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA ACML 2018 A Study of the Classification of Low-Dimensional Data with Supervised Manifold Learning JMLR 2018 Cascaded Low Rank and Sparse Representation on Grassmann Manifolds IJCAI 2018 Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models JMLR 2018 Co-regularized Multi-view Subspace Clustering ACML 2018 Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification ACML 2018 Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization NeurIPS 2018 Fast Randomized PCA for Sparse Data ACML 2018 Feature-correlation-aware Gaussian Process Latent Variable Model ACML 2018 Finding Frequent Entities in Continuous Data IJCAI 2018 HyperTools: a Python Toolbox for Gaining Geometric Insights into High-Dimensional Data JMLR 2018 Learning a latent manifold of odor representations from neural responses in piriform cortex NeurIPS 2018 Learning Low-Dimensional Temporal Representations ICML 2018 Learning multiview embeddings for assessing dementia EMNLP 2018 Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering ICML 2018 Model-based targeted dimensionality reduction for neuronal population data NeurIPS 2018 Out-of-sample extension of graph adjacency spectral embedding ICML 2018 Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods COLT 2018 Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering IJCAI 2018 Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit ICML 2018 Simple Classification Using Binary Data JMLR 2018 Sparse PCA from Sparse Linear Regression NeurIPS 2018 Spectral Feature Scaling Method for Supervised Dimensionality Reduction IJCAI 2018 Stochastic PCA with ℓ_2 and ℓ_1 Regularization ICML 2018