ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.01721
  4. Cited By
Bayes-Newton Methods for Approximate Bayesian Inference with PSD
  Guarantees
v1v2v3 (latest)

Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees

Journal of machine learning research (JMLR), 2021
2 November 2021
William J. Wilkinson
Simo Särkkä
Arno Solin
    BDL
ArXiv (abs)PDFHTML

Papers citing "Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees"

10 / 10 papers shown
Proximal Approximate Inference in State-Space Models
Proximal Approximate Inference in State-Space Models
Hany Abdulsamad
Á. F. García-Fernández
Simo Särkkä
207
1
0
19 Nov 2025
Physics-Informed Variational State-Space Gaussian Processes
Physics-Informed Variational State-Space Gaussian ProcessesNeural Information Processing Systems (NeurIPS), 2024
Oliver Hamelijnck
Arno Solin
Theodoros Damoulas
335
7
0
20 Sep 2024
Fearless Stochasticity in Expectation Propagation
Fearless Stochasticity in Expectation Propagation
Jonathan So
Richard Turner
264
0
0
03 Jun 2024
BlackJAX: Composable Bayesian inference in JAX
BlackJAX: Composable Bayesian inference in JAX
Alberto Cabezas
Adrien Corenflos
Junpeng Lao
Rémi Louf
Antoine Carnec
...
Kevin P. Murphy
Juan Camilo Orduz
Karm Patel
Xi Wang
Robert Zinkov
DRLMLAU
253
69
0
16 Feb 2024
Improving Hyperparameter Learning under Approximate Inference in
  Gaussian Process Models
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process ModelsInternational Conference on Machine Learning (ICML), 2023
Rui Li
S. T. John
Arno Solin
BDL
197
4
0
07 Jun 2023
Variational Gaussian Process Diffusion Processes
Variational Gaussian Process Diffusion ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Prakhar Verma
Vincent Adam
Arno Solin
DiffM
421
10
0
03 Jun 2023
Efficient Sensor Placement from Regression with Sparse Gaussian
  Processes in Continuous and Discrete Spaces
Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces
Kalvik Jakkala
Srinivas Akella
569
4
0
28 Feb 2023
Short-term Prediction and Filtering of Solar Power Using State-Space
  Gaussian Processes
Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes
Sean Nassimiha
Peter Dudfield
Jack Kelly
M. Deisenroth
So Takao
212
1
0
01 Feb 2023
Markovian Gaussian Process Variational Autoencoders
Markovian Gaussian Process Variational AutoencodersInternational Conference on Machine Learning (ICML), 2022
Harrison Zhu
Carles Balsells Rodas
Yingzhen Li
BDLAI4TS
401
23
0
12 Jul 2022
A Look at Improving Robustness in Visual-inertial SLAM by Moment
  Matching
A Look at Improving Robustness in Visual-inertial SLAM by Moment MatchingFusion (FUSION), 2022
Arno Solin
Ruixiao Li
Andrea Pilzer
169
4
0
27 May 2022
1
Page 1 of 1