sparse matrix

A Nonconvex Projection Method for Robust PCA AAAI 2019 Computation Efficient Coded Linear Transform AISTATS 2019 Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network ICLR 2019 High-dimensional Varying Index Coefficient Models via Stein's Identity JMLR 2019 Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations ICML 2019 Robust Principal Component Analysis-Based Infrared Small Target Detection AAAI 2019 Scalable Interpretable Multi-Response Regression via SEED JMLR 2019 Matrix completability analysis via graph k-connectivity AISTATS 2018 Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order ICML 2018 Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation IJCAI 2018 Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio ICLR 2018 Hierarchical Feature Selection with Recursive Regularization IJCAI 2017 Learning Overcomplete HMMs NeurIPS 2017 Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NeurIPS 2017 Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation NeurIPS 2017 A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling ICML 2016 Convex Block-sparse Linear Regression with Expanders – Provably AISTATS 2016 Dimensionality Reduction of Massive Sparse Datasets Using Coresets NeurIPS 2016 High Dimensional Structured Superposition Models NeurIPS 2016 Model-based Co-clustering for High Dimensional Sparse Data AISTATS 2016 Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition JMLR 2015 Sparse and Low-Rank Tensor Decomposition NeurIPS 2015 Sparse Dueling Bandits AISTATS 2015 Incremental Block Cholesky Factorization for Nonlinear Least Squares in Robotics RSS 2013 Intersecting singularities for multi-structured estimation ICML 2013