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. 1507.08563
  4. Cited By
Metropolized Randomized Maximum Likelihood for sampling from multimodal
  distributions
v1v2 (latest)

Metropolized Randomized Maximum Likelihood for sampling from multimodal distributions

30 July 2015
D. Oliver
ArXiv (abs)PDFHTML

Papers citing "Metropolized Randomized Maximum Likelihood for sampling from multimodal distributions"

5 / 5 papers shown
Title
Variational Inference for Nonlinear Inverse Problems via Neural Net
  Kernels: Comparison to Bayesian Neural Networks, Application to Topology
  Optimization
Variational Inference for Nonlinear Inverse Problems via Neural Net Kernels: Comparison to Bayesian Neural Networks, Application to Topology Optimization
Vahid Keshavarzzadeh
Robert M. Kirby
A. Narayan
BDL
57
2
0
07 May 2022
Randomized maximum likelihood based posterior sampling
Randomized maximum likelihood based posterior sampling
Yuming Ba
Jana de Wiljes
D. Oliver
Sebastian Reich
61
7
0
10 Jan 2021
Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical
  Inverse Problems
Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse Problems
Johnathan M. Bardsley
Tiangang Cui
41
1
0
15 Feb 2020
Scalable optimization-based sampling on function space
Scalable optimization-based sampling on function space
Johnathan M. Bardsley
Tiangang Cui
Youssef Marzouk
Zheng Wang
80
18
0
03 Mar 2019
Bayesian inverse problems with $l_1$ priors: a Randomize-then-Optimize
  approach
Bayesian inverse problems with l1l_1l1​ priors: a Randomize-then-Optimize approach
Zheng Wang
Johnathan M. Bardsley
A. Solonen
Tiangang Cui
Youssef M. Marzouk
71
39
0
07 Jul 2016
1