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. 1910.09227
  4. Cited By
Safe-Bayesian Generalized Linear Regression
v1v2v3 (latest)

Safe-Bayesian Generalized Linear Regression

21 October 2019
R. D. Heide
A. Kirichenko
Nishant A. Mehta
Peter Grünwald
ArXiv (abs)PDFHTML

Papers citing "Safe-Bayesian Generalized Linear Regression"

9 / 9 papers shown
Title
Addressing the Inconsistency in Bayesian Deep Learning via Generalized Laplace Approximation
Addressing the Inconsistency in Bayesian Deep Learning via Generalized Laplace Approximation
Yinsong Chen
Samson S. Yu
Zhong Li
Chee Peng Lim
BDL
78
0
0
01 Jul 2025
Posterior concentration and fast convergence rates for generalized
  Bayesian learning
Posterior concentration and fast convergence rates for generalized Bayesian learning
L. Ho
Binh T. Nguyen
Vu C. Dinh
D. M. Nguyen
65
5
0
19 Nov 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods
Robust Generalised Bayesian Inference for Intractable Likelihoods
Takuo Matsubara
Jeremias Knoblauch
François‐Xavier Briol
Chris J. Oates
UQCV
80
80
0
15 Apr 2021
Active multi-fidelity Bayesian online changepoint detection
Active multi-fidelity Bayesian online changepoint detection
Gregory W. Gundersen
Diana Cai
Chuteng Zhou
Barbara E. Engelhardt
Ryan P. Adams
56
10
0
26 Mar 2021
A comparison of learning rate selection methods in generalized Bayesian
  inference
A comparison of learning rate selection methods in generalized Bayesian inference
Pei-Shien Wu
Ryan Martin
BDL
70
48
0
21 Dec 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
A. Wilson
Pavel Izmailov
UQCVBDLOOD
175
658
0
20 Feb 2020
Robust Inference and Model Criticism Using Bagged Posteriors
Robust Inference and Model Criticism Using Bagged Posteriors
Jonathan H. Huggins
Jeffrey W. Miller
142
15
0
15 Dec 2019
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Ruqi Zhang
Chunyuan Li
Jianyi Zhang
Changyou Chen
A. Wilson
BDL
88
278
0
11 Feb 2019
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized
  Bayes
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes
Peter Grünwald
Nishant A. Mehta
227
73
0
01 May 2016
1