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Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics

8 July 2021
Ryan Giordano
Runjing Liu
Michael I. Jordan
Tamara Broderick
ArXiv (abs)PDFHTML

Papers citing "Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics"

8 / 8 papers shown
Title
Prior Sensitivity Analysis without Model Re-fit
Prior Sensitivity Analysis without Model Re-fit
Shonosuke Sugasawa
75
0
0
29 Sep 2024
On a Divergence-Based Prior Analysis of Stick-Breaking Processes
On a Divergence-Based Prior Analysis of Stick-Breaking Processes
José A. Perusquía
Mario Díaz
R. H. Mena
29
0
0
23 Aug 2023
Physics Inspired Approaches To Understanding Gaussian Processes
Physics Inspired Approaches To Understanding Gaussian Processes
Maximilian P. Niroomand
L. Dicks
Edward O. Pyzer-Knapp
D. Wales
76
1
0
18 May 2023
Merging Rate of Opinions via Optimal Transport on Random Measures
Merging Rate of Opinions via Optimal Transport on Random Measures
Marta Catalano
Hugo Lavenant
FedML
26
0
0
10 May 2023
Sample Average Approximation for Black-Box VI
Sample Average Approximation for Black-Box VI
Javier Burroni
Justin Domke
Daniel Sheldon
71
4
0
13 Apr 2023
Black Box Variational Inference with a Deterministic Objective: Faster,
  More Accurate, and Even More Black Box
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box
Ryan Giordano
Martin Ingram
Tamara Broderick
126
13
0
11 Apr 2023
Toward a Taxonomy of Trust for Probabilistic Machine Learning
Toward a Taxonomy of Trust for Probabilistic Machine Learning
Tamara Broderick
Andrew Gelman
Rachael Meager
Anna L. Smith
Tian Zheng
82
11
0
05 Dec 2021
Measuring the robustness of Gaussian processes to kernel choice
Measuring the robustness of Gaussian processes to kernel choice
William T. Stephenson
S. Ghosh
Tin D. Nguyen
Mikhail Yurochkin
Sameer K. Deshpande
Tamara Broderick
GP
39
11
0
11 Jun 2021
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