matrix sketching

Scaling Neural Tangent Kernels via Sketching and Random Features NeurIPS 2021 Sketching curvature for efficient out-of-distribution detection for deep neural networks UAI 2021 Sparse sketches with small inversion bias COLT 2021 Adaptive Online Kernel Sampling for Vertex Classification AISTATS 2020 Automatic Differentiation of Sketched Regression AISTATS 2020 Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization NeurIPS 2020 Efficient and Robust High-Dimensional Linear Contextual Bandits IJCAI 2020 Precise expressions for random projections: Low-rank approximation and randomized Newton NeurIPS 2020 Ridge Regression: Structure, Cross-Validation, and Sketching ICLR 2020 Sketching Transformed Matrices with Applications to Natural Language Processing AISTATS 2020 Efficient Linear Bandits through Matrix Sketching AISTATS 2019 Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret COLT 2019 Guaranteed Matrix Completion Under Multiple Linear Transformations CVPR 2019 High-Dimensional Optimization in Adaptive Random Subspaces NeurIPS 2019 Learning-Based Low-Rank Approximations NeurIPS 2019 Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices JMLR 2019 Optimal Sketching for Kronecker Product Regression and Low Rank Approximation NeurIPS 2019 Randomized Iterative Algorithms for Fisher Discriminant Analysis UAI 2019 Robust Frequent Directions with Application in Online Learning JMLR 2019 An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering ACML 2018 An Iterative, Sketching-based Framework for Ridge Regression ICML 2018 Efficient Adaptive Online Learning via Frequent Directions IJCAI 2018 Efficient Anomaly Detection via Matrix Sketching NeurIPS 2018 Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices ICML 2018 Relating Leverage Scores and Density using Regularized Christoffel Functions NeurIPS 2018