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Nonparametric learning from Bayesian models with randomized objective
  functions

Nonparametric learning from Bayesian models with randomized objective functions

29 June 2018
Simon Lyddon
S. Walker
C. C. Holmes
    OOD
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Papers citing "Nonparametric learning from Bayesian models with randomized objective functions"

6 / 6 papers shown
Title
Predictive Coresets
Predictive Coresets
Bernardo Flores
57
0
0
08 Feb 2025
Robustness of Bayesian ordinal response model against outliers via
  divergence approach
Robustness of Bayesian ordinal response model against outliers via divergence approach
Tomotaka Momozaki
Tomoyuki Nakagawa
17
1
0
12 May 2023
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy
  Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial
  Networks
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks
Forough Fazeli Asl
M. Zhang
Lizhen Lin
26
1
0
05 Mar 2023
Robust Bayesian Inference for Simulator-based Models via the MMD
  Posterior Bootstrap
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
Charita Dellaporta
Jeremias Knoblauch
Theodoros Damoulas
F. Briol
28
42
0
09 Feb 2022
Asymptotics of cut distributions and robust modular inference using
  Posterior Bootstrap
Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
E. Pompe
Pierre E. Jacob
21
14
0
21 Oct 2021
Robust Bayesian Inference for Discrete Outcomes with the Total Variation
  Distance
Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance
Jeremias Knoblauch
Lara Vomfell
28
7
0
26 Oct 2020
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