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. 2102.09606
  4. Cited By
Nonasymptotic bounds for suboptimal importance sampling

Nonasymptotic bounds for suboptimal importance sampling

18 February 2021
C. Hartmann
Lorenz Richter
ArXivPDFHTML

Papers citing "Nonasymptotic bounds for suboptimal importance sampling"

6 / 6 papers shown
Title
Fast and Unified Path Gradient Estimators for Normalizing Flows
Fast and Unified Path Gradient Estimators for Normalizing Flows
Lorenz Vaitl
Ludwig Winkler
Lorenz Richter
Pan Kessel
44
4
0
23 Mar 2024
An optimal control perspective on diffusion-based generative modeling
An optimal control perspective on diffusion-based generative modeling
Julius Berner
Lorenz Richter
Karen Ullrich
DiffM
44
81
0
02 Nov 2022
Robust SDE-Based Variational Formulations for Solving Linear PDEs via
  Deep Learning
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
Lorenz Richter
Julius Berner
27
19
0
21 Jun 2022
Adaptive Importance Sampling meets Mirror Descent: a Bias-variance
  tradeoff
Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff
Anna Korba
Franccois Portier
31
12
0
29 Oct 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter
Ayman Boustati
Nikolas Nusken
Francisco J. R. Ruiz
Ömer Deniz Akyildiz
DRL
138
48
0
20 Oct 2020
Sharp failure rates for the bootstrap particle filter in high dimensions
Sharp failure rates for the bootstrap particle filter in high dimensions
Peter J. Bickel
Bo Li
T. Bengtsson
73
199
0
21 May 2008
1