Determinantal Point Processes in Randomized Numerical Linear Algebra

7 May 2020

Papers citing "Determinantal Point Processes in Randomized Numerical Linear Algebra"

18 / 18 papers shown

Title
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence Sangwoo Shin H. Hino 26 0 0 02 Aug 2024
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems Younghyun Cho James Demmel Michal Derezinski Haoyun Li Hengrui Luo Michael W. Mahoney Riley Murray 32 5 0 30 Aug 2023
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
Neurotoxin: Durable Backdoors in Federated Learning Zhengming Zhang Ashwinee Panda Linyue Song Yaoqing Yang Michael W. Mahoney Joseph E. Gonzalez Kannan Ramchandran Prateek Mittal FedML 27 130 0 12 Jun 2022
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches Michal Derezinski 49 5 0 06 Jun 2022
Optimal Sublinear Sampling of Spanning Trees and Determinantal Point Processes via Average-Case Entropic Independence Nima Anari Yang P. Liu T. Vuong 31 15 0 06 Apr 2022
AutoIP: A United Framework to Integrate Physics into Gaussian Processes D. Long Zhilin Wang Aditi S. Krishnapriyan Robert M. Kirby Shandian Zhe Michael W. Mahoney AI4CE 26 14 0 24 Feb 2022
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD Rémi Bardenet Subhro Ghosh Meixia Lin 6 6 0 11 Dec 2021
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update Michal Derezinski Jonathan Lacotte Mert Pilanci Michael W. Mahoney 37 26 0 15 Jul 2021
L1 Regression with Lewis Weights Subsampling Aditya Parulekar Advait Parulekar Eric Price 22 19 0 19 May 2021
Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower Bounds Jonathan Lacotte Mert Pilanci 20 11 0 13 Dec 2020
Sparse sketches with small inversion bias Michal Derezinski Zhenyu Liao Yan Sun Michael W. Mahoney 23 21 0 21 Nov 2020
Testing Determinantal Point Processes Khashayar Gatmiry Maryam Aliakbarpour Stefanie Jegelka 29 1 0 09 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 21 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