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Latent Gaussian Model Boosting
v1v2v3v4v5v6 (latest)

Latent Gaussian Model Boosting

19 May 2021
Fabio Sigrist
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Latent Gaussian Model Boosting"

7 / 7 papers shown
Title
Scalable Computations for Generalized Mixed Effects Models with Crossed Random Effects Using Krylov Subspace Methods
Scalable Computations for Generalized Mixed Effects Models with Crossed Random Effects Using Krylov Subspace Methods
Pascal Kündig
Fabio Sigrist
86
0
0
14 May 2025
A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk:
  Default Probabilities and Loan Portfolios
A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios
Pascal Kündig
Fabio Sigrist
64
1
0
03 Oct 2024
Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data
Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data
Tim Gyger
Reinhard Furrer
Fabio Sigrist
65
2
0
23 May 2024
Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian
  Process Models
Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models
Pascal Kündig
Fabio Sigrist
34
3
0
18 Oct 2023
A Comparison of Machine Learning Methods for Data with High-Cardinality
  Categorical Variables
A Comparison of Machine Learning Methods for Data with High-Cardinality Categorical Variables
Fabio Sigrist
85
5
0
05 Jul 2023
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging
  Auxiliary Information
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information
Zhiwei Wang
Fa Zhang
Conghui Zheng
Xianghong Hu
Mingxuan Cai
Can Yang
33
1
0
05 Mar 2023
Machine Learning with High-Cardinality Categorical Features in Actuarial
  Applications
Machine Learning with High-Cardinality Categorical Features in Actuarial Applications
Benjamin Avanzi
G. Taylor
Melantha Wang
Bernard Wong
86
13
0
30 Jan 2023
1