conftrace_

sparse matrix

49 papers

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Co-occurring keywords

low-rank matrix (174) robust principal component analysis (62) matrix decomposition (119) sparse decomposition (18) low-rank approximation (323) low-rank decomposition (36) matrix factorization (529) dimensionality reduction (720) model compression (3302) streaming algorithm (131)

Papers

MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning CVPR 2025
SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform NIPS 2024
Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy NIPS 2024
Distributed Bundle Adjustment with Block-Based Sparse Matrix Compression for Super Large Scale Datasets ICCV 2023
The Fast Johnson-Lindenstrauss Transform Is Even Faster ICML 2023
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems ICML 2023
On the Expressive Flexibility of Self-Attention Matrices AAAI 2023
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach JMLR 2023
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention CVPR 2022
Fast, Accurate and Memory-Efficient Partial Permutation Synchronization CVPR 2022
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks JMLR 2022
Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices AAAI 2021
Robust principal component analysis for generalized multi-view models UAI 2021
Deformable Butterfly: A Highly Structured and Sparse Linear Transform NIPS 2021
Approximate Multiplication of Sparse Matrices with Limited Space AAAI 2021
Optimal Approximation of Doubly Stochastic Matrices AISTATS 2020
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension ICML 2020
Learning Factorized Weight Matrix for Joint Filtering ICML 2020
Scikit-network: Graph Analysis in Python JMLR 2020
A Nonconvex Projection Method for Robust PCA AAAI 2019
Accelerated Alternating Projections for Robust Principal Component Analysis JMLR 2019
Scalable Interpretable Multi-Response Regression via SEED JMLR 2019
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations ICML 2019
High-dimensional Varying Index Coefficient Models via Stein's Identity JMLR 2019
Computation Efficient Coded Linear Transform AISTATS 2019