dimensionality reduction

Fully Understanding The Hashing Trick NeurIPS 2018 Gaussian Lower Bound for the Information Bottleneck Limit JMLR 2018 High-dimensional Similarity Learning via Dual-sparse Random Projection IJCAI 2018 HyperTools: a Python Toolbox for Gaining Geometric Insights into High-Dimensional Data JMLR 2018 Inference via Low-Dimensional Couplings JMLR 2018 Inhibition of Occluded Facial Regions for Distance-Based Face Recognition IJCAI 2018 Learning a latent manifold of odor representations from neural responses in piriform cortex NeurIPS 2018 Learning Low-Dimensional Temporal Representations ICML 2018 Model-based targeted dimensionality reduction for neuronal population data NeurIPS 2018 MoNet: Moments Embedding Network CVPR 2018 On Binary Embedding using Circulant Matrices JMLR 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 Provable Gaussian Embedding with One Observation NeurIPS 2018 Representation Learning of Compositional Data NeurIPS 2018 Representation Tradeoffs for Hyperbolic Embeddings ICML 2018 Robust Subspace Approximation in a Stream NeurIPS 2018 Simple Classification Using Binary Data JMLR 2018 Sparse PCA from Sparse Linear Regression NeurIPS 2018 Sublinear Time Low-Rank Approximation of Distance Matrices NeurIPS 2018 TeamCEN at SemEval-2018 Task 1: Global Vectors Representation in Emotion Detection SemEval 2018 The Price of Fair PCA: One Extra dimension NeurIPS 2018 The Word Analogy Testing Caveat NAACL 2018 Angle Principal Component Analysis IJCAI 2017 Compact Matrix Factorization With Dependent Subspaces CVPR 2017