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. 1807.03873
  4. Cited By
Automatic Gradient Boosting
v1v2 (latest)

Automatic Gradient Boosting

10 July 2018
Janek Thomas
Stefan Coors
B. Bischl
ArXiv (abs)PDFHTML

Papers citing "Automatic Gradient Boosting"

14 / 14 papers shown
Title
AMLB: an AutoML Benchmark
AMLB: an AutoML Benchmark
Pieter Gijsbers
Marcos L. P. Bueno
Stefan Coors
E. LeDell
Sébastien Poirier
Janek Thomas
B. Bischl
Joaquin Vanschoren
86
58
0
25 Jul 2022
Accelerated Componentwise Gradient Boosting using Efficient Data
  Representation and Momentum-based Optimization
Accelerated Componentwise Gradient Boosting using Efficient Data Representation and Momentum-based Optimization
Daniel Schalk
B. Bischl
David Rügamer
71
3
0
07 Oct 2021
Automatic Componentwise Boosting: An Interpretable AutoML System
Automatic Componentwise Boosting: An Interpretable AutoML System
Stefan Coors
Daniel Schalk
B. Bischl
David Rügamer
TPM
82
3
0
12 Sep 2021
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem
Anton Vakhrushev
A. Ryzhkov
M. Savchenko
Dmitry Simakov
Rinchin Damdinov
Alexander Tuzhilin
96
34
0
03 Sep 2021
Experimental Investigation and Evaluation of Model-based Hyperparameter
  Optimization
Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization
Eva Bartz
Martin Zaefferer
Olaf Mersmann
Thomas Bartz-Beielstein
66
4
0
19 Jul 2021
Regularized target encoding outperforms traditional methods in
  supervised machine learning with high cardinality features
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
F. Pargent
Florian Pfisterer
Janek Thomas
B. Bischl
49
88
0
01 Apr 2021
AutonoML: Towards an Integrated Framework for Autonomous Machine
  Learning
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
90
17
0
23 Dec 2020
Classification supporting COVID-19 diagnostics based on patient survey
  data
Classification supporting COVID-19 diagnostics based on patient survey data
J. Henzel
J. Tobiasz
M. Kozielski
M. Bach
P. Foszner
...
A. Werner
J. Żyła
J. Jaroszewicz
Joanna Polańska
Marek Sikora
17
10
0
24 Nov 2020
DriveML: An R Package for Driverless Machine Learning
DriveML: An R Package for Driverless Machine Learning
Sayan Putatunda
Dayanand Ubrangala
Kiran Rama
R. Kondapalli
14
0
0
01 May 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
225
635
0
13 Mar 2020
CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in
  Cyber-Physical Production Systems
CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems
A. Fischbach
Jan Strohschein
Andreas Bunte
Jörg Stork
Heide Faeskorn-Woyke
N. Moriz
Thomas Bartz-Beielstein
29
18
0
26 Feb 2020
Multi-Objective Automatic Machine Learning with AutoxgboostMC
Multi-Objective Automatic Machine Learning with AutoxgboostMC
Florian Pfisterer
Stefan Coors
Janek Thomas
B. Bischl
65
17
0
28 Aug 2019
An Open Source AutoML Benchmark
An Open Source AutoML Benchmark
Pieter Gijsbers
E. LeDell
Janek Thomas
Sébastien Poirier
B. Bischl
Joaquin Vanschoren
VLM
73
242
0
01 Jul 2019
Machine Learning Automation Toolbox (MLaut)
Machine Learning Automation Toolbox (MLaut)
V. Kazakov
Franz J. Király
31
1
0
11 Jan 2019
1