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eigenvalue decomposition

33 papers

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Co-occurring keywords

dimensionality reduction (720) principal component analysis (316) sparse principal component analysis (47) matrix decomposition (119) matrix optimization (20) singular value decomposition (222) cardinality constraint (71) similarity matrix (37) second-order optimization (93) streaming algorithm (131)

Papers

Hallucination Detection in LLMs Using Spectral Features of Attention Maps EMNLP 2025
Entropy Induced Pruning Framework for Convolutional Neural Networks AAAI 2024
Toward Large Kernel Models ICML 2023
An Operator Theoretic Approach for Analyzing Sequence Neural Networks AAAI 2023
Adversarial Eigen Attack on Black-Box Models CVPR 2022
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data ICML 2022
Principal Component Hierarchy for Sparse Quadratic Programs ICML 2021
How can classical multidimensional scaling go wrong? NIPS 2021
Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods NIPS 2021
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders ICML 2020
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace UAI 2020
Scalable Interpretable Multi-Response Regression via SEED JMLR 2019
On Distributed Averaging for Stochastic k-PCA NIPS 2019
Selecting the independent coordinates of manifolds with large aspect ratios NIPS 2019
EigenNet: Towards Fast and Structural Learning of Deep Neural Networks IJCAI 2017
Diving into the shallows: a computational perspective on large-scale shallow learning NIPS 2017
Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja’s Algorithm COLT 2016
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated NIPS 2016
Consensus of Non-Rigid Reconstructions CVPR 2016
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm NIPS 2016
A posteriori error bounds for joint matrix decomposition problems NIPS 2016
Non-Gaussian Component Analysis with Log-Density Gradient Estimation AISTATS 2016
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition NIPS 2015
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks NIPS 2015
Streaming Sparse Principal Component Analysis ICML 2015