matrix sketching

Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling NeurIPS 2018 Sketching Method for Large Scale Combinatorial Inference NeurIPS 2018 Co-Occurring Directions Sketching for Approximate Matrix Multiply AISTATS 2017 Multiscale Strategies for Computing Optimal Transport JMLR 2017 Recovering PCA and Sparse PCA via Hybrid-(l1,l2) Sparse Sampling of Data Elements JMLR 2017 Second-Order Kernel Online Convex Optimization with Adaptive Sketching ICML 2017 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017 Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data AISTATS 2017 Structured adaptive and random spinners for fast machine learning computations AISTATS 2017 Efficient Second Order Online Learning by Sketching NeurIPS 2016 Minimizing Quadratic Functions in Constant Time NeurIPS 2016 Single Pass PCA of Matrix Products NeurIPS 2016 Streaming Kernel Principal Component Analysis AISTATS 2016 Approximating Sparse PCA from Incomplete Data NeurIPS 2015 Fast and Guaranteed Tensor Decomposition via Sketching NeurIPS 2015 Faster Ridge Regression via the Subsampled Randomized Hadamard Transform NeurIPS 2013 Near-Optimal Entrywise Sampling for Data Matrices NeurIPS 2013 Sketching Structured Matrices for Faster Nonlinear Regression NeurIPS 2013