Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling

25 October 2019

Papers citing "Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling"

8 / 8 papers shown

Title
Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition Michal Derezinski E. Rebrova 27 16 0 20 Aug 2022
Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence Sen Na Michal Derezinski Michael W. Mahoney 27 16 0 20 Apr 2022
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 32 0 0 26 Aug 2020
Sampling from a $k$ -DPP without looking at all items Daniele Calandriello Michal Derezinski Michal Valko 32 22 0 30 Jun 2020
Precise expressions for random projections: Low-rank approximation and randomized Newton Michal Derezinski Feynman T. Liang Zhenyu A. Liao Michael W. Mahoney 32 23 0 18 Jun 2020
Exact expressions for double descent and implicit regularization via surrogate random design Michal Derezinski Feynman T. Liang Michael W. Mahoney 27 77 0 10 Dec 2019
Reverse iterative volume sampling for linear regression Michal Derezinski Manfred K. Warmuth 49 43 0 06 Jun 2018
Determinantal point processes for machine learning Alex Kulesza B. Taskar 162 1,123 0 25 Jul 2012