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Linear Algebra

480 papers

Papers per year

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36
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Papers

Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity NIPS 2023
Many-body Approximation for Non-negative Tensors NIPS 2023
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model NIPS 2023
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation AAAI 2023
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel AISTATS 2023
Efficient fair PCA for fair representation learning AISTATS 2023
Structure of Nonlinear Node Embeddings in Stochastic Block Models AISTATS 2023
Adaptive Power Method: Eigenvector Estimation from Sampled Data ALT 2023
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting ICCV 2023
Strivec: Sparse Tri-Vector Radiance Fields ICCV 2023
One-sided Matrix Completion from Two Observations Per Row ICML 2023
The Fast Johnson-Lindenstrauss Transform Is Even Faster ICML 2023
Approximately Optimal Core Shapes for Tensor Decompositions ICML 2023
Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction ICML 2023
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance ICML 2023
A Nearly-Optimal Bound for Fast Regression with $\ell_∞$ Guarantee ICML 2023
Linear Causal Disentanglement via Interventions ICML 2023
PCA-based Multi-Task Learning: a Random Matrix Approach ICML 2023
Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization ICML 2023
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing ICML 2023
Near-Optimal Weighted Matrix Completion JMLR 2023
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence JMLR 2023
Multi-View Independent Component Analysis with Shared and Individual Sources UAI 2023
GAR: Generalized Autoregression for Multi-Fidelity Fusion NIPS 2022