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Linear Algebra

480 directly classified papers

Papers per year

Papers

On the Riemannian Search for Eigenvector Computation JMLR 2021
A Note on Sparse Generalized Eigenvalue Problem NIPS 2021
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression AISTATS 2021
TenIPS: Inverse Propensity Sampling for Tensor Completion AISTATS 2021
Approximate Multiplication of Sparse Matrices with Limited Space AAAI 2021
A Spectral Analysis of Dot-product Kernels AISTATS 2021
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering ICML 2021
Fixed-Parameter and Approximation Algorithms for PCA with Outliers ICML 2021
Identification of Matrix Joint Block Diagonalization AISTATS 2021
Landscape analysis of an improved power method for tensor decomposition NIPS 2021
Expert advice problem with noisy low rank loss ACML 2021
Transforms Based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery via Convex Optimization ICCV 2021
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds ACML 2021
Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction CVPR 2021
Ranking and synchronization from pairwise measurements via SVD JMLR 2021
Streaming and Distributed Algorithms for Robust Column Subset Selection ICML 2021
Privately Learning Subspaces NIPS 2021
On the Faster Alternating Least-Squares for CCA AISTATS 2021
Dimensionality Reduction for Wasserstein Barycenter NIPS 2021
Understanding Deflation Process in Over-parametrized Tensor Decomposition NIPS 2021
Causal Identification with Matrix Equations NIPS 2021
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace UAI 2020
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise AAAI 2020
Improved Subsampled Randomized Hadamard Transform for Linear SVM AAAI 2020
A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract) AAAI 2020