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Linear Algebra

480 directly classified papers

Papers per year

Papers

Quantum Algorithms for Spectral Sums AAAI 2026
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation JMLR 2025
Tensor Decomposition Meets Knowledge Compilation: A Study Comparing Tensor Trains with OBDDs AAAI 2025
Multi-Subspace Matrix Recovery from Permuted Data AAAI 2025
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting AAAI 2025
Tensor Network: from the Perspective of AI4Science and Science4AI IJCAI 2025
KIPPO: Koopman-Inspired Proximal Policy Optimization IJCAI 2025
Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares JMLR 2025
Best Linear Unbiased Estimate from Privatized Contingency Tables JMLR 2025
A Flag Decomposition for Hierarchical Datasets CVPR 2025
DiffRed: Dimensionality reduction guided by stable rank AISTATS 2024
Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors AISTATS 2024
Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor NIPS 2024
John Ellipsoids via Lazy Updates NIPS 2024
Audio Fingerprinting with Holographic Reduced Representations INTERSPEECH 2024
Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024
Faster Randomized Methods for Orthogonality Constrained Problems JMLR 2024
Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis AISTATS 2024
A tensor factorization model of multilayer network interdependence JMLR 2024
Oja's Algorithm for Streaming Sparse PCA NIPS 2024
Efficient Leverage Score Sampling for Tensor Train Decomposition NIPS 2024
On Socially Fair Low-Rank Approximation and Column Subset Selection NIPS 2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NIPS 2024
Black-Box k-to-1-PCA Reductions: Theory and Applications COLT 2024
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate AISTATS 2024