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Dimensionality Reduction

706 directly classified papers

Papers per year

Papers

Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates JMLR 2021
A Novel Sequential Coreset Method for Gradient Descent Algorithms ICML 2021
Dimensionality Reduction for the Sum-of-Distances Metric ICML 2021
Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring AAAI 2021
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise ICML 2021
Streaming Bayesian Deep Tensor Factorization ICML 2021
Subspace Clustering through Sub-Clusters JMLR 2021
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021
Multidimensional Scaling: Approximation and Complexity ICML 2021
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering ICML 2021
Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract) IJCAI 2021
Principal Bit Analysis: Autoencoding with Schur-Concave Loss ICML 2021
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NIPS 2021
Going Beyond T-SNE: Exposing whatlies in Text Embeddings EMNLP 2020
GP-VAE: Deep Probabilistic Time Series Imputation AISTATS 2020
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space AISTATS 2020
Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling AISTATS 2020
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation EMNLP 2020
On the Power of Compressed Sensing with Generative Models ICML 2020
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module IJCAI 2020
Partial Trace Regression and Low-Rank Kraus Decomposition ICML 2020
A Linear-time Independence Criterion Based on a Finite Basis Approximation AISTATS 2020
pyDML: A Python Library for Distance Metric Learning JMLR 2020
Multi-label Feature Selection via Global Relevance and Redundancy Optimization IJCAI 2020