low-rank approximation

Additive Error Guarantees for Weighted Low Rank Approximation ICML 2021 A New Robust Subspace Recovery Algorithm (Student Abstract) AAAI 2021 Block-wise Word Embedding Compression Revisited: Better Weighting and Structuring EMNLP 2021 Expert advice problem with noisy low rank loss ACML 2021 Fast and accurate randomized algorithms for low-rank tensor decompositions NeurIPS 2021 Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation NeurIPS 2021 Few-Shot Data-Driven Algorithms for Low Rank Approximation NeurIPS 2021 Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract) IJCAI 2021 In-Database Regression in Input Sparsity Time ICML 2021 Iterative Deep Model Compression and Acceleration in the Frequency Domain ACML 2021 Landscape analysis of an improved power method for tensor decomposition NeurIPS 2021 Large-Scale Learning with Fourier Features and Tensor Decompositions NeurIPS 2021 Learning a Latent Simplex in Input Sparsity Time ICLR 2021 Low-Rank Tensor Completion by Approximating the Tensor Average Rank ICCV 2021 Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions JMLR 2021 Multi-version Tensor Completion for Time-delayed Spatio-temporal Data IJCAI 2021 Parameter Efficient Multimodal Transformers for Video Representation Learning ICLR 2021 Projection techniques to update the truncated SVD of evolving matrices with applications ICML 2021 Reduced-Rank Regression with Operator Norm Error COLT 2021 Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices AAAI 2021 Scatterbrain: Unifying Sparse and Low-rank Attention NeurIPS 2021 Single Pass Entrywise-Transformed Low Rank Approximation ICML 2021 Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method NeurIPS 2021 Sparse Tensor Additive Regression JMLR 2021 Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021