matrix decomposition

Compressing Pre-trained Language Models by Matrix Decomposition AACL 2020 Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models IJCAI 2020 FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs NeurIPS 2020 Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition EMNLP 2020 Learning Mixed Latent Tree Models JMLR 2020 A Nonconvex Projection Method for Robust PCA AAAI 2019 A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization IJCAI 2019 Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion IJCAI 2019 Determinantal Reinforcement Learning AAAI 2019 Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization ICML 2019 Learning-Based Low-Rank Approximations NeurIPS 2019 Multi-view Spectral Clustering Network IJCAI 2019 Neurally-Guided Structure Inference ICML 2019 Partial Multi-Label Learning by Low-Rank and Sparse Decomposition AAAI 2019 Total Least Squares Regression in Input Sparsity Time NeurIPS 2019 Towards Practical Alternating Least-Squares for CCA NeurIPS 2019 Handling Noise in Boolean Matrix Factorization IJCAI 2017 Hierarchical Clustering Beyond the Worst-Case NeurIPS 2017 Learning Word Vector Representations Based on Acoustic Counts Interspeech 2017 Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations ICML 2017 Scalable Normalized Cut with Improved Spectral Rotation IJCAI 2017 Video Desnowing and Deraining Based on Matrix Decomposition CVPR 2017 An Improved Gap-Dependency Analysis of the Noisy Power Method COLT 2016 A posteriori error bounds for joint matrix decomposition problems NeurIPS 2016 A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling ICML 2016