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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Papers
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance
ICML 2023
Strivec: Sparse Tri-Vector Radiance Fields
ICCV 2023
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation
AAAI 2023
Structured Semidefinite Programming for Recovering Structured Preconditioners
NeurIPS 2023
Structure of Nonlinear Node Embeddings in Stochastic Block Models
AISTATS 2023
Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.
ICLR 2023
The Fast Johnson-Lindenstrauss Transform Is Even Faster
ICML 2023
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
ICML 2023
A Perturbation-Based Kernel Approximation Framework
JMLR 2022
A sharp NMF result with applications in network modeling
NeurIPS 2022
ATD: Augmenting CP Tensor Decomposition by Self Supervision
NeurIPS 2022
Automatic Color Image Stitching Using Quaternion Rank-1 Alignment
CVPR 2022
Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection
EMNLP 2022
Communication-efficient distributed eigenspace estimation with arbitrary node failures
NeurIPS 2022
Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs
NeurIPS 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs
NAACL 2022
Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation
CVPR 2022
EigenGame Unloaded: When playing games is better than optimizing
ICLR 2022
Error Analysis of Tensor-Train Cross Approximation
NeurIPS 2022
Fast algorithm for overcomplete order-3 tensor decomposition
COLT 2022
Faster Linear Algebra for Distance Matrices
NeurIPS 2022
Faster Noisy Power Method
ALT 2022
GAR: Generalized Autoregression for Multi-Fidelity Fusion
NeurIPS 2022
Generalization Bounds for Data-Driven Numerical Linear Algebra
COLT 2022
Generalized Leverage Scores: Geometric Interpretation and Applications
ICML 2022