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Linear Algebra

480 papers

Papers per year

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Papers

Scanline Homographies for Rolling-Shutter Plane Absolute Pose CVPR 2022
Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection EMNLP 2022
Understanding Doubly Stochastic Clustering ICML 2022
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization ICML 2022
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees ICML 2022
Generalized Leverage Scores: Geometric Interpretation and Applications ICML 2022
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time ICML 2022
NTF of Spectral and Spatial Features for Tracking and Separation of Moving Sound Sources in Spherical Harmonic Domain INTERSPEECH 2022
Novel Min-Max Reformulations of Linear Inverse Problems JMLR 2022
Power Iteration for Tensor PCA JMLR 2022
A Perturbation-Based Kernel Approximation Framework JMLR 2022
KoPA: Automated Kronecker Product Approximation JMLR 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs NAACL 2022
On the rank of 2×2×2 probability tables PGM 2022
Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation NIPS 2021
Unique sparse decomposition of low rank matrices NIPS 2021
Understanding Deflation Process in Over-parametrized Tensor Decomposition NIPS 2021
Privately Learning Subspaces NIPS 2021
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization NIPS 2021
Landscape analysis of an improved power method for tensor decomposition NIPS 2021
Implicit SVD for Graph Representation Learning NIPS 2021
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry NIPS 2021
Causal Identification with Matrix Equations NIPS 2021
Dimensionality Reduction for Wasserstein Barycenter NIPS 2021
Low-Rank Subspaces in GANs NIPS 2021