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Bayesian Optimization in AlphaGo

Bayesian Optimization in AlphaGo

17 December 2018
Yutian Chen
Aja Huang
Ziyun Wang
Ioannis Antonoglou
Julian Schrittwieser
David Silver
Nando de Freitas
    BDL
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Papers citing "Bayesian Optimization in AlphaGo"

27 / 27 papers shown
Title
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks
J. Gornet
Yiannis Kantaros
Bruno Sinopoli
227
0
0
27 Apr 2025
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
Yunyue Wei
Vincent Zhuang
Saraswati Soedarmadji
Yanan Sui
245
0
0
31 Dec 2024
Generalized Population-Based Training for Hyperparameter Optimization in
  Reinforcement Learning
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning
Hui Bai
Ran Cheng
58
4
0
12 Apr 2024
OpenBox: A Python Toolkit for Generalized Black-box Optimization
OpenBox: A Python Toolkit for Generalized Black-box Optimization
Huaijun Jiang
Yu Shen
Yang Li
Beicheng Xu
Sixian Du
Wentao Zhang
Ce Zhang
Bin Cui
43
5
0
26 Apr 2023
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in
  Arbitrary Subspaces
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces
Shuhei Watanabe
Archit Bansal
Frank Hutter
37
12
0
20 Apr 2023
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
Nicolai Dorka
Tim Welschehold
Wolfram Burgard
21
3
0
17 Mar 2023
Can Fairness be Automated? Guidelines and Opportunities for
  Fairness-aware AutoML
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Hilde J. P. Weerts
Florian Pfisterer
Matthias Feurer
Katharina Eggensperger
Eddie Bergman
Noor H. Awad
Joaquin Vanschoren
Mykola Pechenizkiy
B. Bischl
Frank Hutter
FaML
49
18
0
15 Mar 2023
Speeding Up Multi-Objective Hyperparameter Optimization by Task
  Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator
Shuhei Watanabe
Noor H. Awad
Masaki Onishi
Frank Hutter
33
9
0
13 Dec 2022
Improving Multi-fidelity Optimization with a Recurring Learning Rate for
  Hyperparameter Tuning
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning
HyunJae Lee
Gihyeon Lee
Junh-Nam Kim
Sungjun Cho
Dohyun Kim
Donggeun Yoo
44
3
0
26 Sep 2022
Event-Triggered Time-Varying Bayesian Optimization
Event-Triggered Time-Varying Bayesian Optimization
Paul Brunzema
Alexander von Rohr
Friedrich Solowjow
Sebastian Trimpe
23
7
0
23 Aug 2022
Optimization of the Shape of a Hydrokinetic Turbine's Draft Tube and Hub
  Assembly Using Design-by-Morphing with Bayesian Optimization
Optimization of the Shape of a Hydrokinetic Turbine's Draft Tube and Hub Assembly Using Design-by-Morphing with Bayesian Optimization
Haris Moazam Sheikh
Tess A. Callan
Kealan J. Hennessy
P. Marcus
AI4CE
31
11
0
23 Jul 2022
Bayesian Generational Population-Based Training
Bayesian Generational Population-Based Training
Xingchen Wan
Cong Lu
Jack Parker-Holder
Philip J. Ball
Vu-Linh Nguyen
Binxin Ru
Michael A. Osborne
OffRL
36
15
0
19 Jul 2022
Joint Entropy Search for Maximally-Informed Bayesian Optimization
Joint Entropy Search for Maximally-Informed Bayesian Optimization
Carl Hvarfner
Frank Hutter
Luigi Nardi
46
36
0
09 Jun 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
38
100
0
11 Jan 2022
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time
  Mobile Acceleration
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration
Yifan Gong
Geng Yuan
Zheng Zhan
Wei Niu
Zhengang Li
...
Sijia Liu
Bin Ren
Xue Lin
Xulong Tang
Yanzhi Wang
33
10
0
22 Nov 2021
Risk-averse Heteroscedastic Bayesian Optimization
Risk-averse Heteroscedastic Bayesian Optimization
A. Makarova
Ilnura N. Usmanova
Ilija Bogunovic
Andreas Krause
35
35
0
05 Nov 2021
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture
  and Pruning Search
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search
Zheng Zhan
Yifan Gong
Pu Zhao
Geng Yuan
Wei Niu
...
Malith Jayaweera
David Kaeli
Bin Ren
Xue Lin
Yanzhi Wang
SupR
38
41
0
18 Aug 2021
Hyperparameter Transfer Across Developer Adjustments
Hyperparameter Transfer Across Developer Adjustments
Daniel Stoll
Jörg Franke
Diane Wagner
Simon Selg
Frank Hutter
27
12
0
25 Oct 2020
Asynchronous ε-Greedy Bayesian Optimisation
Asynchronous ε-Greedy Bayesian Optimisation
George De Ath
Richard Everson
J. Fieldsend
35
5
0
15 Oct 2020
Bayesian Optimization with a Prior for the Optimum
Bayesian Optimization with a Prior for the Optimum
Artur L. F. Souza
Luigi Nardi
Leonardo B. Oliveira
K. Olukotun
Marius Lindauer
Frank Hutter
21
8
0
25 Jun 2020
Neural Architecture Generator Optimization
Neural Architecture Generator Optimization
Binxin Ru
P. Esperança
Fabio Maria Carlucci
20
40
0
03 Apr 2020
Provably Efficient Online Hyperparameter Optimization with
  Population-Based Bandits
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
Jack Parker-Holder
Vu Nguyen
Stephen J. Roberts
OffRL
75
83
0
06 Feb 2020
$ε$-shotgun: $ε$-greedy Batch Bayesian Optimisation
εεε-shotgun: εεε-greedy Batch Bayesian Optimisation
George De Ath
Richard Everson
J. Fieldsend
Alma A. M. Rahat
29
15
0
05 Feb 2020
Meta-Surrogate Benchmarking for Hyperparameter Optimization
Meta-Surrogate Benchmarking for Hyperparameter Optimization
Aaron Klein
Zhenwen Dai
Frank Hutter
Neil D. Lawrence
Javier I. González
OffRL
14
36
0
30 May 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients
Fast Efficient Hyperparameter Tuning for Policy Gradients
Supratik Paul
Vitaly Kurin
Shimon Whiteson
22
32
0
18 Feb 2019
Asynchronous Batch Bayesian Optimisation with Improved Local
  Penalisation
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation
A. Alvi
Binxin Ru
Jan-Peter Calliess
Stephen J. Roberts
Michael A. Osborne
29
44
0
29 Jan 2019
A Modern Retrospective on Probabilistic Numerics
A Modern Retrospective on Probabilistic Numerics
Chris J. Oates
T. Sullivan
AI4CE
24
64
0
14 Jan 2019
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