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Linear Algebra

480 papers

Papers per year

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Papers

Quantum Algorithms for Spectral Sums AAAI 2026
Tensor Decomposition Meets Knowledge Compilation: A Study Comparing Tensor Trains with OBDDs AAAI 2025
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting AAAI 2025
Multi-Subspace Matrix Recovery from Permuted Data AAAI 2025
A Flag Decomposition for Hierarchical Datasets CVPR 2025
KIPPO: Koopman-Inspired Proximal Policy Optimization IJCAI 2025
Tensor Network: from the Perspective of AI4Science and Science4AI IJCAI 2025
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation JMLR 2025
Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares JMLR 2025
Best Linear Unbiased Estimate from Privatized Contingency Tables JMLR 2025
Invariant subspaces and PCA in nearly matrix multiplication time NIPS 2024
Metric Transforms and Low Rank Representations of Kernels for Fast Attention NIPS 2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NIPS 2024
John Ellipsoids via Lazy Updates NIPS 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization NIPS 2024
Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor NIPS 2024
Efficient Leverage Score Sampling for Tensor Train Decomposition NIPS 2024
Oja's Algorithm for Streaming Sparse PCA NIPS 2024
On Socially Fair Low-Rank Approximation and Column Subset Selection NIPS 2024
Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods NIPS 2024
Approximating the Top Eigenvector in Random Order Streams NIPS 2024
Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models NIPS 2024
Entrywise error bounds for low-rank approximations of kernel matrices NIPS 2024
Linear Time Approximation Algorithm for Column Subset Selection with Local Search NIPS 2024
Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract) AAAI 2024