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

Robust Principal Component Analysis-Based Infrared Small Target Detection AAAI 2019
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order ICML 2018
Matrix completability analysis via graph k-connectivity AISTATS 2018
Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation IJCAI 2018
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation NIPS 2017
Learning Overcomplete HMMs NIPS 2017
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NIPS 2017
Hierarchical Feature Selection with Recursive Regularization IJCAI 2017
Model-based Co-clustering for High Dimensional Sparse Data AISTATS 2016
Dimensionality Reduction of Massive Sparse Datasets Using Coresets NIPS 2016
Convex Block-sparse Linear Regression with Expanders – Provably AISTATS 2016
A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling ICML 2016
High Dimensional Structured Superposition Models NIPS 2016
Sparse and Low-Rank Tensor Decomposition NIPS 2015
Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition JMLR 2015
Sparse Dueling Bandits AISTATS 2015
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NIPS 2013
Intersecting singularities for multi-structured estimation ICML 2013
Incremental Block Cholesky Factorization for Nonlinear Least Squares in Robotics RSS 2013
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NIPS 2012
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NIPS 2011
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming JMLR 2010