Linear Algebra
534 papers
Papers per year
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11
11
26
26
36
40
36
37
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60
42
37
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26
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Papers
Multi-Subspace Matrix Recovery from Permuted Data
AAAI 2025
Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Extended Abstract
COLT 2025
On the Privacy-preserving Generalized Eigenvalue Problem
ACML 2025
Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions
ICLR 2025
Tensor Decomposition Meets Knowledge Compilation: A Study Comparing Tensor Trains with OBDDs
AAAI 2025
Tensor Network: from the Perspective of AI4Science and Science4AI
IJCAI 2025
Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra
ICML 2025
When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?
AISTATS 2025
A non-backtracking method for long matrix and tensor completion
COLT 2024
Approximating the Top Eigenvector in Random Order Streams
NeurIPS 2024
A tensor factorization model of multilayer network interdependence
JMLR 2024
Audio Fingerprinting with Holographic Reduced Representations
Interspeech 2024
Black-Box k-to-1-PCA Reductions: Theory and Applications
COLT 2024
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding
EMNLP 2024
Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models
NeurIPS 2024
Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods
NeurIPS 2024
DiffRed: Dimensionality reduction guided by stable rank
AISTATS 2024
Dimension-free Structured Covariance Estimation
COLT 2024
Efficient Leverage Score Sampling for Tensor Train Decomposition
NeurIPS 2024
Efficiently Learning One-Hidden-Layer ReLU Networks via SchurPolynomials
COLT 2024
Entrywise error bounds for low-rank approximations of kernel matrices
NeurIPS 2024
Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract)
AAAI 2024
Fast Dynamic Sampling for Determinantal Point Processes
AISTATS 2024
Faster Randomized Methods for Orthogonality Constrained Problems
JMLR 2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts
NeurIPS 2024