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. 1911.08725
  4. Cited By
Assessment and adjustment of approximate inference algorithms using the
  law of total variance

Assessment and adjustment of approximate inference algorithms using the law of total variance

20 November 2019
Xue Yu
David J. Nott
Minh-Ngoc Tran
Nadja Klein
ArXivPDFHTML

Papers citing "Assessment and adjustment of approximate inference algorithms using the law of total variance"

4 / 4 papers shown
Title
Probabilistic Reasoning with LLMs for k-anonymity Estimation
Jonathan Zheng
Sauvik Das
Alan Ritter
Wei Xu
67
0
0
12 Mar 2025
Approximating Bayes in the 21st Century
Approximating Bayes in the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
45
26
0
20 Dec 2021
The role of exchangeability in causal inference
The role of exchangeability in causal inference
O. Saarela
D. Stephens
E. Moodie
44
6
0
02 Jun 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
55
17
0
14 Apr 2020
1