conftrace_

low rank approximation

47 papers

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Also known as

LRA

Co-occurring keywords

low-rank approximation (323) matrix factorization (529) matrix approximation (89) matrix completion (356) dimensionality reduction (720) tensor decomposition (375) convex optimization (1321) numerical linear algebra (35) nuclear norm (79) streaming algorithm (131)

Papers

Metric Transforms and Low Rank Representations of Kernels for Fast Attention NIPS 2024
Improved Bounds for Multi-task Learning with Trace Norm Regularization COLT 2023
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products NIPS 2023
Nonparametric Principal Subspace Regression JMLR 2022
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models ICML 2022
Handling Slice Permutations Variability in Tensor Recovery AAAI 2022
Gauss-Legendre Features for Gaussian Process Regression JMLR 2022
KoPA: Automated Kronecker Product Approximation JMLR 2022
Fused Orthogonal Alternating Least Squares for Tensor Clustering NIPS 2022
Dynamic Tensor Product Regression NIPS 2022
Generalization Bounds for Data-Driven Numerical Linear Algebra COLT 2022
In-Database Regression in Input Sparsity Time ICML 2021
Single Pass Entrywise-Transformed Low Rank Approximation ICML 2021
Expert advice problem with noisy low rank loss ACML 2021
Reduced-Rank Regression with Operator Norm Error COLT 2021
Few-Shot Data-Driven Algorithms for Low Rank Approximation NIPS 2021
Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions JMLR 2021
Additive Error Guarantees for Weighted Low Rank Approximation ICML 2021
Estimating Model Uncertainty of Neural Networks in Sparse Information Form ICML 2020
Input-Sparsity Low Rank Approximation in Schatten Norm ICML 2020
Sublinear Time Numerical Linear Algebra for Structured Matrices AAAI 2019
Towards a Zero-One Law for Column Subset Selection NIPS 2019
Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss NIPS 2019
Spatial Aggregation Facilitates Discovery of Spatial Topics ACL 2019
Total Least Squares Regression in Input Sparsity Time NIPS 2019