A comparison of learning rate selection methods in generalized Bayesian inference

21 December 2020

Papers citing "A comparison of learning rate selection methods in generalized Bayesian inference"

11 / 11 papers shown

Title
Generalized Posterior Calibration via Sequential Monte Carlo Sampler Masahiro Tanaka 37 1 0 25 Apr 2024
Robust and Conjugate Gaussian Process Regression Matias Altamirano F. Briol Jeremias Knoblauch 35 10 0 01 Nov 2023
Robustness of Bayesian ordinal response model against outliers via divergence approach Tomotaka Momozaki Tomoyuki Nakagawa 19 1 0 12 May 2023
Reliable Bayesian Inference in Misspecified Models David T. Frazier Robert Kohn Christopher C. Drovandi David Gunawan 23 3 0 13 Feb 2023
Robust and Scalable Bayesian Online Changepoint Detection Matias Altamirano F. Briol Jeremias Knoblauch 40 12 0 09 Feb 2023
Cutting feedback and modularized analyses in generalized Bayesian inference David T. Frazier David J. Nott 32 7 0 21 Feb 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 46 42 0 09 Feb 2022
Calibrating generalized predictive distributions Pei-Shien Wu Ryan Martin 44 8 0 04 Jul 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods Takuo Matsubara Jeremias Knoblauch François‐Xavier Briol Chris J. Oates UQCV 32 74 0 15 Apr 2021
Gibbs posterior concentration rates under sub-exponential type losses Nicholas Syring Ryan Martin 26 29 0 08 Dec 2020
Gibbs posterior inference on multivariate quantiles Indrabati Bhattacharya Ryan Martin 31 20 0 03 Feb 2020