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. 2303.05101
  4. Cited By
Scalable Stochastic Gradient Riemannian Langevin Dynamics in
  Non-Diagonal Metrics

Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics

9 March 2023
Hanlin Yu
M. Hartmann
Bernardo Williams
Arto Klami
    BDL
ArXivPDFHTML

Papers citing "Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics"

4 / 4 papers shown
Title
Warped geometric information on the optimisation of Euclidean functions
Warped geometric information on the optimisation of Euclidean functions
M. Hartmann
Bernardo Williams
Hanlin Yu
Mark Girolami
Alessandro Barp
Arto Klami
24
2
0
16 Aug 2023
Lagrangian Manifold Monte Carlo on Monge Patches
Lagrangian Manifold Monte Carlo on Monge Patches
M. Hartmann
Mark Girolami
Arto Klami
18
10
0
01 Feb 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,683
0
05 Dec 2016
On the Convergence of Stochastic Gradient MCMC Algorithms with
  High-Order Integrators
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen
Nan Ding
Lawrence Carin
40
159
0
21 Oct 2016
1