Co-occurring keywords · papers mentioning both
Papers
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
ICLR 2024
Sketching for Distributed Deep Learning: A Sharper Analysis
NeurIPS 2024
Algorithmic Gaussianization through Sketching: Converting Data into Sub-gaussian Random Designs
COLT 2023
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
ICML 2023
Optimal Shrinkage for Distributed Second-Order Optimization
ICML 2023
Distributed Randomized Sketching Kernel Learning
AAAI 2022
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
NeurIPS 2021
Error Estimation for Sketched SVD via the Bootstrap
ICML 2020
Incremental Randomized Sketching for Online Kernel Learning
ICML 2019
RSN: Randomized Subspace Newton
NeurIPS 2019
Fast Approximate Spectral Clustering for Dynamic Networks
ICML 2018
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
AISTATS 2017
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares
JMLR 2016
Iterative Hessian Sketch: Fast and Accurate Solution Approximation for Constrained Least-Squares
JMLR 2016
Learning from Multiway Data: Simple and Efficient Tensor Regression
ICML 2016
Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares
ICML 2015
Sketching Structured Matrices for Faster Nonlinear Regression
NeurIPS 2013