low-rank approximation

Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise AAAI 2020 Recent Developments in Boolean Matrix Factorization IJCAI 2020 Revisiting Spatial Invariance with Low-Rank Local Connectivity ICML 2020 Sketching Transformed Matrices with Applications to Natural Language Processing AISTATS 2020 SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020 Sparse and low-rank multivariate Hawkes processes JMLR 2020 Tensor Regression Networks JMLR 2020 TRP: Trained Rank Pruning for Efficient Deep Neural Networks IJCAI 2020 Union of Low-Rank Tensor Spaces: Clustering and Completion JMLR 2020 Average Case Column Subset Selection for Entrywise ℓ_1-Norm Loss NeurIPS 2019 Cascaded Projection: End-To-End Network Compression and Acceleration CVPR 2019 Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition AAAI 2019 DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System AAAI 2019 Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally CVPR 2019 Fast Low-rank Metric Learning for Large-scale and High-dimensional Data NeurIPS 2019 Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret COLT 2019 Geometric Understanding for Unsupervised Subspace Learning IJCAI 2019 High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes NeurIPS 2019 Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer AAAI 2019 Label Distribution Learning with Label Correlations via Low-Rank Approximation IJCAI 2019 Learning-Based Low-Rank Approximations NeurIPS 2019 Low Permutation-rank Matrices: Structural Properties and Noisy Completion JMLR 2019 Low-Rank Approximations of Second-Order Document Representations CoNLL 2019 Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning EMNLP 2019 Low-Rank Semidefinite Programming for the MAX2SAT Problem AAAI 2019