ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.09649
  4. Cited By
Hutch++: Optimal Stochastic Trace Estimation

Hutch++: Optimal Stochastic Trace Estimation

19 October 2020
R. A. Meyer
Cameron Musco
Christopher Musco
David P. Woodruff
ArXivPDFHTML

Papers citing "Hutch++: Optimal Stochastic Trace Estimation"

9 / 9 papers shown
Title
Position: Curvature Matrices Should Be Democratized via Linear Operators
Position: Curvature Matrices Should Be Democratized via Linear Operators
Felix Dangel
Runa Eschenhagen
Weronika Ormaniec
Andres Fernandez
Lukas Tatzel
Agustinus Kristiadi
53
3
0
31 Jan 2025
RandALO: Out-of-sample risk estimation in no time flat
RandALO: Out-of-sample risk estimation in no time flat
Parth Nobel
Daniel LeJeune
Emmanuel J. Candès
32
3
0
15 Sep 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
J. Lin
Shreyas Padhy
Bruno Mlodozeniec
Javier Antorán
José Miguel Hernández-Lobato
33
2
0
28 May 2024
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning
Michal Dereziñski
Christopher Musco
Jiaming Yang
40
2
0
09 May 2024
Query lower bounds for log-concave sampling
Query lower bounds for log-concave sampling
Sinho Chewi
Jaume de Dios Pont
Jerry Li
Chen Lu
Shyam Narayanan
27
8
0
05 Apr 2023
Tractable Evaluation of Stein's Unbiased Risk Estimate with Convex
  Regularizers
Tractable Evaluation of Stein's Unbiased Risk Estimate with Convex Regularizers
Parth Nobel
Emmanuel Candès
Stephen P. Boyd
ELM
LLMSV
16
5
0
11 Nov 2022
Optimal Query Complexities for Dynamic Trace Estimation
Optimal Query Complexities for Dynamic Trace Estimation
David P. Woodruff
Fred Zhang
Qiuyi Zhang
29
4
0
30 Sep 2022
Scale-invariant Bayesian Neural Networks with Connectivity Tangent
  Kernel
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
Sungyub Kim
Si-hun Park
Kyungsu Kim
Eunho Yang
BDL
24
4
0
30 Sep 2022
Preconditioning for Scalable Gaussian Process Hyperparameter
  Optimization
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
Jonathan Wenger
Geoff Pleiss
Philipp Hennig
John P. Cunningham
J. Gardner
12
23
0
01 Jul 2021
1