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Dimensionality Reduction

706 directly classified papers

Papers per year

Papers

Nonlinear System Identification via Tensor Completion AAAI 2020
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data NIPS 2020
Manifold structure in graph embeddings NIPS 2020
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data NIPS 2020
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes NIPS 2020
Federated Principal Component Analysis NIPS 2020
Node Embeddings and Exact Low-Rank Representations of Complex Networks NIPS 2020
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis ICML 2020
Demixed shared component analysis of neural population data from multiple brain areas NIPS 2020
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction NIPS 2020
Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis NIPS 2019
Stochastic Canonical Correlation Analysis JMLR 2019
Multi-Criteria Dimensionality Reduction with Applications to Fairness NIPS 2019
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices CVPR 2019
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG NIPS 2019
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering CVPR 2019
Learning-Based Low-Rank Approximations NIPS 2019
Understanding Sparse JL for Feature Hashing NIPS 2019
K-Nearest Neighbors Hashing CVPR 2019
Improving Word Embeddings Using Kernel PCA ACL 2019
Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter at SemEval-2019 Task 5: Frequency Analysis Interpolation for Hate in Speech Detection SEMEVAL 2019
Solving Interpretable Kernel Dimensionality Reduction NIPS 2019
Robust Principal Component Analysis with Adaptive Neighbors NIPS 2019
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction AAAI 2019