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Generalized Boosting Algorithms for Convex Optimization
10 May 2011
Alexander Grubb
Drew Bagnell
FedML
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Papers citing
"Generalized Boosting Algorithms for Convex Optimization"
11 / 11 papers shown
Title
TRBoost: A Generic Gradient Boosting Machine based on Trust-region Method
Jiaqi Luo
Zihao Wei
Junkai Man
Shi-qian Xu
67
8
0
28 Sep 2022
Quantized Training of Gradient Boosting Decision Trees
Yu Shi
Guolin Ke
Zhuoming Chen
Shuxin Zheng
Tie-Yan Liu
MQ
AI4CE
73
19
0
20 Jul 2022
Federated Functional Gradient Boosting
Zebang Shen
Hamed Hassani
Satyen Kale
Amin Karbasi
FedML
49
7
0
11 Mar 2021
Wide Boosting
M. Horrell
AI4CE
43
1
0
20 Jul 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
Kenta Oono
Taiji Suzuki
AI4CE
126
32
0
15 Jun 2020
Proximal boosting: aggregating weak learners to minimize non-differentiable losses
Erwan Fouillen
C. Boyer
Maxime Sangnier
FedML
72
2
0
29 Aug 2018
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
Francesco Locatello
Michael Tschannen
Gunnar Rätsch
Martin Jaggi
112
26
0
31 May 2017
Gradient Boosting on Stochastic Data Streams
Hanzhang Hu
Wen Sun
Arun Venkatraman
M. Hebert
J. Andrew Bagnell
37
11
0
01 Mar 2017
Learning of Generalized Low-Rank Models: A Greedy Approach
Quanming Yao
James T. Kwok
66
1
0
27 Jul 2016
Difference of Convex Functions Programming Applied to Control with Expert Data
Bilal Piot
Matthieu Geist
Olivier Pietquin
OffRL
24
7
0
03 Jun 2016
A new boosting algorithm based on dual averaging scheme
Nan Wang
24
1
0
11 Jul 2015
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