Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1604.00772
Cited By
v1
v2 (latest)
The CMA Evolution Strategy: A Tutorial
4 April 2016
N. Hansen
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"The CMA Evolution Strategy: A Tutorial"
50 / 377 papers shown
Title
AutoFlow: Learning a Better Training Set for Optical Flow
Deqing Sun
Daniel Vlasic
Charles Herrmann
Varun Jampani
Michael Krainin
Huiwen Chang
Ramin Zabih
William T. Freeman
Ce Liu
3DPC
104
118
0
29 Apr 2021
Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants
Jacob De Nobel
Hao Wang
Thomas Bäck
AI4TS
48
9
0
16 Apr 2021
Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction
Yingfang Yuan
Wenjun Wang
Wei Pang
52
7
0
13 Apr 2021
Fast and Efficient Locomotion via Learned Gait Transitions
Yuxiang Yang
Tingnan Zhang
Erwin Coumans
Jie Tan
Byron Boots
106
92
0
09 Apr 2021
Morpho-evolution with learning using a controller archive as an inheritance mechanism
Léni K. Le Goff
Edgar Buchanan
E. Hart
A. E. Eiben
Wei Li
...
Matthew F. Hale
Robert Woolley
Mike Angus
J. Timmis
A. Tyrrell
71
22
0
09 Apr 2021
Hybrid Evolutionary Optimization Approach for Oilfield Well Control Optimization
Ajitabh Kumar
56
0
0
29 Mar 2021
Paint by Word
A. Andonian
David Bau
Audrey Cui
YeonHwan Park
Ali Jahanian
Antonio Torralba
A. Oliva
DiffM
117
125
0
19 Mar 2021
AutoTune: Controller Tuning for High-Speed Flight
Antonio Loquercio
Alessandro Saviolo
Davide Scaramuzza
82
38
0
19 Mar 2021
Efficient Bayesian Optimization using Multiscale Graph Correlation
T. Kanazawa
62
2
0
17 Mar 2021
Modelling Human Kinetics and Kinematics during Walking using Reinforcement Learning
Visak C. V. Kumar
24
0
0
15 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Benjamin Eysenbach
Sergey Levine
OOD
135
187
0
10 Mar 2021
Meta Learning Black-Box Population-Based Optimizers
H. Gomes
B. Léger
Christian Gagné
168
13
0
05 Mar 2021
Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules
Jacob De Nobel
Diederick Vermetten
Hao Wang
Carola Doerr
Thomas Bäck
77
46
0
25 Feb 2021
Modelling SARS-CoV-2 coevolution with genetic algorithms
A. Vié
16
3
0
24 Feb 2021
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks
Yingfang Yuan
Wenjun Wang
Wei Pang
106
9
0
24 Feb 2021
GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks
Ben Bodner
G. B. Shalom
Eran Treister
MQ
48
2
0
18 Feb 2021
Sparse Reward Exploration via Novelty Search and Emitters
Giuseppe Paolo
Alexandre Coninx
Stéphane Doncieux
Alban Laflaquière
78
19
0
05 Feb 2021
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries
Devin Willmott
Anit Kumar Sahu
Fatemeh Sheikholeslami
Filipe Condessa
Zico Kolter
MLAU
AAML
74
3
0
29 Jan 2021
Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images
Roberto Perera
D. Guzzetti
V. Agrawal
48
26
0
16 Jan 2021
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?
Antoine Grosnit
Alexander I. Cowen-Rivers
Rasul Tutunov
Ryan-Rhys Griffiths
Jun Wang
Haitham Bou-Ammar
109
15
0
15 Dec 2020
Warm Starting CMA-ES for Hyperparameter Optimization
Masahiro Nomura
Shuhei Watanabe
Youhei Akimoto
Yoshihiko Ozaki
Masaki Onishi
95
43
0
13 Dec 2020
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
Kyunghyun Lee
Byeong-uk Lee
Ukcheol Shin
In So Kweon
163
23
0
10 Dec 2020
A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy
Matthew C. Fontaine
Stefanos Nikolaidis
124
39
0
08 Dec 2020
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
Alexander I. Cowen-Rivers
Wenlong Lyu
Rasul Tutunov
Zhi Wang
Antoine Grosnit
...
A. Maraval
Hao Jianye
Jun Wang
Jan Peters
H. Ammar
123
80
0
07 Dec 2020
A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks
Marcello Serqueira
Israel Mendonça
Eduardo Bezerra
66
23
0
22 Nov 2020
Improving Neural Network Training in Low Dimensional Random Bases
Frithjof Gressmann
Zach Eaton-Rosen
Carlo Luschi
80
28
0
09 Nov 2020
Qualities, challenges and future of genetic algorithms: a literature review
A. Vié
Alissa M. Kleinnijenhuis
Doyne, J Farmer
AI4CE
27
17
0
05 Nov 2020
Robust estimation of a regression function in exponential families
Y. Baraud
Juntong Chen
46
0
0
03 Nov 2020
Black-Box Optimization of Object Detector Scales
M. Muthuraja
Octavio Arriaga
Paul G. Plöger
Frank Kirchner
Matias Valdenegro-Toro
ObjD
21
0
0
29 Oct 2020
Video Game Level Repair via Mixed Integer Linear Programming
Hejia Zhang
Matthew C. Fontaine
Amy K. Hoover
Julian Togelius
B. Dilkina
Stefanos Nikolaidis
GAN
90
30
0
13 Oct 2020
CorrAttack: Black-box Adversarial Attack with Structured Search
Zhichao Huang
Yaowei Huang
Tong Zhang
AAML
72
8
0
03 Oct 2020
Predicting Game Difficulty and Churn Without Players
Shaghayegh Roohi
Asko Relas
Jari Takatalo
Henri Heiskanen
Perttu Hämäläinen
68
24
0
29 Aug 2020
FRMDN: Flow-based Recurrent Mixture Density Network
S. Razavi
Reshad Hosseini
Tina Behzad
BDL
46
0
0
05 Aug 2020
OccamNet: A Fast Neural Model for Symbolic Regression at Scale
Owen Dugan
Rumen Dangovski
Allan dos Santos Costa
Samuel Kim
Pawan Goyal
J. Jacobson
M. Soljavcić
95
11
0
16 Jul 2020
CoNES: Convex Natural Evolutionary Strategies
Sushant Veer
Anirudha Majumdar
74
3
0
16 Jul 2020
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network
Matthew C. Fontaine
Ruilin Liu
Ahmed Khalifa
Jignesh Modi
Julian Togelius
Amy K. Hoover
Stefanos Nikolaidis
GAN
153
81
0
11 Jul 2020
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization
Yimin Huang
Yujun Li
Hanrong Ye
Zhenguo Li
Zhihua Zhang
70
7
0
11 Jul 2020
Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters
Antoine Cully
79
24
0
10 Jul 2020
Scalable Differentiable Physics for Learning and Control
Yi-Ling Qiao
Junbang Liang
V. Koltun
Ming Lin
PINN
AI4CE
98
120
0
04 Jul 2020
Semi-discrete optimization through semi-discrete optimal transport: a framework for neural architecture search
Nicolas García Trillos
Javier Morales
OT
69
3
0
26 Jun 2020
Traditional and accelerated gradient descent for neural architecture search
Nicolas García Trillos
Félix Morales
Javier Morales
21
3
0
26 Jun 2020
End-to-end deep metamodeling to calibrate and optimize energy loads
Max H. Cohen
M. Charbit
Sylvain Le Corff
Marius Preda
Gilles Noziere
13
2
0
19 Jun 2020
An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization
Anton Dereventsov
Clayton Webster
Joseph Daws
65
10
0
18 Jun 2020
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution
Yan Feng
Baoyuan Wu
Yanbo Fan
Li Liu
Zhifeng Li
Shutao Xia
AAML
79
6
0
15 Jun 2020
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization
Jingfan Chen
Guanghui Zhu
Chun Yuan
Yihua Huang
140
15
0
29 May 2020
Korali: Efficient and Scalable Software Framework for Bayesian Uncertainty Quantification and Stochastic Optimization
Sergio M. Martin
Daniel Wälchli
G. Arampatzis
Athena Economides
Petr Karnakov
Petros Koumoutsakos
31
15
0
27 May 2020
Adapting JPEG XS gains and priorities to tasks and contents
Benoit Brummer
Christophe De Vleeschouwer
68
5
0
18 May 2020
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
Hanrui Wang
Kuan-Chieh Wang
Jiacheng Yang
Linxiao Shen
Nan Sun
Hae-Seung Lee
Song Han
GNN
75
244
0
30 Apr 2020
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi
Rodrigo Canaan
Xianbo Gao
Julian Togelius
Andy Nealen
Stefan Menzel
40
13
0
28 Apr 2020
Learning to Guide Random Search
Ozan Sener
V. Koltun
ODL
77
21
0
25 Apr 2020
Previous
1
2
3
4
5
6
7
8
Next