Dimensionality Reduction
780 papers
Papers per year
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Papers
Residual-Based Sampling for Online Outlier-Robust PCA
ICML 2022
Robust Streaming PCA
NeurIPS 2022
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality
JMLR 2022
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion
ICML 2022
Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA
JMLR 2022
Sufficient reductions in regression with mixed predictors
JMLR 2022
SummVD : An efficient approach for unsupervised topic-based text summarization
AACL 2022
Supervised Dimensionality Reduction and Visualization using Centroid-Encoder
JMLR 2022
Support Recovery in Sparse PCA with Incomplete Data
NeurIPS 2022
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
JMLR 2022
Topic Modeling by Clustering Language Model Embeddings: Human Validation on an Industry Dataset
EMNLP 2022
Vector-Valued Least-Squares Regression under Output Regularity Assumptions
JMLR 2022
Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality
AAAI 2021
A Data Driven, Convex Optimization Approach to Learning Koopman Operators
L4DC 2021
Adversarially Robust Low Dimensional Representations
COLT 2021
A New Robust Subspace Recovery Algorithm (Student Abstract)
AAAI 2021
A Novel Sequential Coreset Method for Gradient Descent Algorithms
ICML 2021
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration
JMLR 2021
“Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models
EMNLP 2021
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders
ICML 2021
Binary Matrix Factorisation via Column Generation
AAAI 2021
Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net
CVPR 2021
Bringing UMAP Closer to the Speed of Light with GPU Acceleration
AAAI 2021
Clustering Ensemble Meets Low-rank Tensor Approximation
AAAI 2021
Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA
JMLR 2021