Dimensionality Reduction

Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction CVPR 2022 Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension ICLR 2022 Improved analysis of randomized SVD for top-eigenvector approximation AISTATS 2022 Interpolating Predictors in High-Dimensional Factor Regression JMLR 2022 Intrinsic dimensionality estimation using Normalizing Flows NeurIPS 2022 Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence JMLR 2022 Knowledge Base Index Compression via Dimensionality and Precision Reduction ACL 2022 Learning Canonical F-Correlation Projection for Compact Multiview Representation CVPR 2022 Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images IJCAI 2022 LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood ICML 2022 Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets ICML 2022 Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization JMLR 2022 Manifold Coordinates with Physical Meaning JMLR 2022 Manifold Interpolating Optimal-Transport Flows for Trajectory Inference NeurIPS 2022 More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees ICML 2022 Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions CVPR 2022 Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design CVPR 2022 Neural PCA for Flow-Based Representation Learning IJCAI 2022 Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network NeurIPS 2022 On the equivalence of Oja’s algorithm and GROUSE AISTATS 2022 On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane NeurIPS 2022 Power Iteration for Tensor PCA JMLR 2022 Projected Robust PCA with Application to Smooth Image Recovery JMLR 2022 Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric JMLR 2022 Quadric Hypersurface Intersection for Manifold Learning in Feature Space AISTATS 2022