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Accelerated Componentwise Gradient Boosting using Efficient Data
  Representation and Momentum-based Optimization
v1v2 (latest)

Accelerated Componentwise Gradient Boosting using Efficient Data Representation and Momentum-based Optimization

7 October 2021
Daniel Schalk
J. Herbinger
David Rügamer
ArXiv (abs)PDFHTMLGithub

Papers citing "Accelerated Componentwise Gradient Boosting using Efficient Data Representation and Momentum-based Optimization"

3 / 3 papers shown
Scalable Higher-Order Tensor Product Spline Models
Scalable Higher-Order Tensor Product Spline Models
David Rügamer
268
4
0
02 Feb 2024
Mixture of Experts Distributional Regression: Implementation Using
  Robust Estimation with Adaptive First-order Methods
Mixture of Experts Distributional Regression: Implementation Using Robust Estimation with Adaptive First-order MethodsAStA Advances in Statistical Analysis (AStA), 2022
David Rügamer
Florian Pfisterer
B. Bischl
Bettina Grün
158
6
0
17 Nov 2022
Privacy-Preserving and Lossless Distributed Estimation of
  High-Dimensional Generalized Additive Mixed Models
Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed ModelsStatistics and computing (Stat. Comput.), 2022
Daniel Schalk
B. Bischl
David Rügamer
296
1
0
14 Oct 2022
1
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