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1807.02811
Cited By
A Tutorial on Bayesian Optimization
8 July 2018
P. Frazier
GP
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Papers citing
"A Tutorial on Bayesian Optimization"
50 / 722 papers shown
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
Neural Information Processing Systems (NeurIPS), 2021
Bing-Jing Hsieh
Ping-Chun Hsieh
Xi Liu
227
24
0
08 Jun 2021
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
Antoine Grosnit
Rasul Tutunov
A. Maraval
Ryan-Rhys Griffiths
Alexander I. Cowen-Rivers
...
Wenlong Lyu
Zhitang Chen
Jun Wang
Jan Peters
Haitham Bou-Ammar
BDL
DRL
264
74
0
07 Jun 2021
RegMix: Data Mixing Augmentation for Regression
Seonghyeon Hwang
Steven Euijong Whang
UQCV
199
12
0
07 Jun 2021
Meta-Learning Reliable Priors in the Function Space
Neural Information Processing Systems (NeurIPS), 2021
Jonas Rothfuss
Dominique Heyn
Jinfan Chen
Andreas Krause
275
29
0
06 Jun 2021
Deep Bayesian Active Learning for Accelerating Stochastic Simulation
Knowledge Discovery and Data Mining (KDD), 2021
D. Wu
Ruijia Niu
Matteo Chinazzi
Alessandro Vespignani
Yi-An Ma
Rose Yu
AI4CE
584
14
0
05 Jun 2021
JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data
Kourosh Hakhamaneshi
Pieter Abbeel
Vladimir M. Stojanović
Aditya Grover
197
12
0
02 Jun 2021
Bias-Robust Bayesian Optimization via Dueling Bandits
International Conference on Machine Learning (ICML), 2021
Johannes Kirschner
Andreas Krause
188
12
0
25 May 2021
Saddle Point Optimization with Approximate Minimization Oracle and its Application to Robust Berthing Control
ACM Transactions on Evolutionary Learning and Optimization (TELO), 2021
Youhei Akimoto
Yoshiki Miyauchi
A. Maki
404
19
0
25 May 2021
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains
npj Computational Materials (npj Comput Mater), 2021
Qiaohao Liang
Aldair E. Gongora
Zekun Ren
A. Tiihonen
Zhe Liu
...
K. Hippalgaonkar
Benji Maruyama
Keith A. Brown
John W Fisher Iii
Tonio Buonassisi
124
158
0
23 May 2021
Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning
Jayson G. Boubin
Codi Burley
Peida Han
Bowen Li
Barry Porter
Christopher Stewart
243
5
0
21 May 2021
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
Neural Information Processing Systems (NeurIPS), 2021
Sam Daulton
Maximilian Balandat
E. Bakshy
248
207
0
17 May 2021
High-Dimensional Experimental Design and Kernel Bandits
International Conference on Machine Learning (ICML), 2021
Romain Camilleri
Julian Katz-Samuels
Kevin Jamieson
190
59
0
12 May 2021
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning
Journal of machine learning research (JMLR), 2021
Quentin Bertrand
Quentin Klopfenstein
Mathurin Massias
Mathieu Blondel
Samuel Vaiter
Alexandre Gramfort
Joseph Salmon
307
30
0
04 May 2021
How Bayesian Should Bayesian Optimisation Be?
George De Ath
Richard Everson
J. Fieldsend
176
8
0
03 May 2021
One-parameter family of acquisition functions for efficient global optimization
IEEE International Joint Conference on Neural Network (IJCNN), 2021
T. Kanazawa
187
2
0
26 Apr 2021
Safe Chance Constrained Reinforcement Learning for Batch Process Control
Computers and Chemical Engineering (Comput. Chem. Eng.), 2021
M. Mowbray
Panagiotis Petsagkourakis
Ehecatl Antonio del Rio Chanona
Dongda Zhang
OffRL
201
47
0
23 Apr 2021
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
Neural Information Processing Systems (NeurIPS), 2021
Ryan Turner
David Eriksson
M. McCourt
J. Kiili
Eero Laaksonen
Zhen Xu
Isabelle M Guyon
BDL
382
359
0
20 Apr 2021
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
International Conference on Machine Learning (ICML), 2021
Willie Neiswanger
Ke Alexander Wang
Stefano Ermon
MLAU
223
38
0
19 Apr 2021
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC
Marko Jarvenpaa
J. Corander
334
6
0
08 Apr 2021
Quasi-Newton Quasi-Monte Carlo for variational Bayes
Sifan Liu
Art B. Owen
BDL
199
4
0
07 Apr 2021
Neural Process for Black-Box Model Optimization Under Bayesian Framework
Zhongkai Shangguan
Lei Lin
Wencheng Wu
Beilei Xu
114
11
0
03 Apr 2021
Revisiting Bayesian Optimization in the light of the COCO benchmark
Structural And Multidisciplinary Optimization (SMO), 2021
Rodolphe Le Riche
Victor Picheny
416
36
0
30 Mar 2021
PointBA: Towards Backdoor Attacks in 3D Point Cloud
IEEE International Conference on Computer Vision (ICCV), 2021
Xinke Li
Zhirui Chen
Yue Zhao
Zekun Tong
Yabang Zhao
A. Lim
Qiufeng Wang
3DPC
AAML
590
61
0
30 Mar 2021
Transmitter Discovery through Radio-Visual Probabilistic Active Sensing
International Conference on Methods & Models in Automation & Robotics (MMAR), 2021
Luca Varotto
Angelo Cenedese
125
2
0
27 Mar 2021
Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations
Learning and Intelligent Optimization (LION), 2021
Carlos Ansótegui
Meinolf Sellmann
Tapan Shah
Kevin Tierney
132
6
0
18 Mar 2021
Efficient Bayesian Optimization using Multiscale Graph Correlation
T. Kanazawa
194
2
0
17 Mar 2021
Problem-fluent models for complex decision-making in autonomous materials research
Computational materials science (Comput. Mater. Sci.), 2021
Soojung Baek
Kristofer G. Reyes
AI4CE
110
2
0
13 Mar 2021
Trainless Model Performance Estimation for Neural Architecture Search
Ekaterina Gracheva
117
3
0
10 Mar 2021
Golem: An algorithm for robust experiment and process optimization
Chemical Science (Chem. Sci.), 2021
Matteo Aldeghi
Florian Hase
Riley J. Hickman
Isaac Tamblyn
Alán Aspuru-Guzik
259
25
0
05 Mar 2021
Kernel Interpolation for Scalable Online Gaussian Processes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Samuel Stanton
Wesley J. Maddox
Ian A. Delbridge
A. Wilson
GP
219
35
0
02 Mar 2021
Simultaneous Tactile Exploration and Grasp Refinement for Unknown Objects
IEEE Robotics and Automation Letters (RA-L), 2021
Cristiana Miranda de Farias
Naresh Marturi
Rustam Stolkin
Yasemin Bekiroglu
122
45
0
28 Feb 2021
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
David Eriksson
M. Jankowiak
254
202
0
27 Feb 2021
NOMU: Neural Optimization-based Model Uncertainty
International Conference on Machine Learning (ICML), 2021
Jakob Heiss
Jakob Weissteiner
Hanna Wutte
Sven Seuken
Josef Teichmann
BDL
478
22
0
26 Feb 2021
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
Neural Information Processing Systems (NeurIPS), 2021
Changyong Oh
Roberto Bondesan
E. Gavves
Max Welling
179
17
0
26 Feb 2021
Hyperparameter Transfer Learning with Adaptive Complexity
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Samuel Horváth
Aaron Klein
Peter Richtárik
Cédric Archambeau
119
23
0
25 Feb 2021
BORE: Bayesian Optimization by Density-Ratio Estimation
International Conference on Machine Learning (ICML), 2021
Louis C. Tiao
Aaron Klein
Matthias Seeger
Edwin V. Bonilla
Cédric Archambeau
F. Ramos
193
34
0
17 Feb 2021
Using Distance Correlation for Efficient Bayesian Optimization
T. Kanazawa
269
3
0
17 Feb 2021
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
615
109
0
16 Feb 2021
Goal-oriented adaptive sampling under random field modelling of response probability distributions
ESAIM Proceedings and Surveys (ESAIM Proc. Surv.), 2021
Athénais Gautier
D. Ginsbourger
G. Pirot
189
2
0
15 Feb 2021
Explaining Inference Queries with Bayesian Optimization
Proceedings of the VLDB Endowment (PVLDB), 2021
Brandon Lockhart
Jinglin Peng
Weiyuan Wu
Jiannan Wang
Eugene Wu
200
9
0
10 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
232
3
0
29 Jan 2021
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art
International Workshop on Trustworthy AI - Integrating Learning, Optimization and Reasoning (TAILOR), 2021
Youngmin Kim
Richard Allmendinger
Manuel López-Ibánez
OffRL
835
31
0
23 Jan 2021
TREGO: a Trust-Region Framework for Efficient Global Optimization
Journal of Global Optimization (JGO), 2021
Youssef Diouane
Victor Picheny
Rodolophe Le Riche
Alexandre Scotto Di Perrotolo
285
39
0
18 Jan 2021
CobBO: Coordinate Backoff Bayesian Optimization with Two-Stage Kernels
Jian Tan
Niv Nayman
Mengchang Wang
177
4
0
13 Jan 2021
Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic
European Journal of Operational Research (EJOR), 2021
Lawrence Thul
Warrren B Powell
247
70
0
04 Jan 2021
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models
AAAI Conference on Artificial Intelligence (AAAI), 2020
E. Han
Ishank Arora
Jonathan Scarlett
TPM
AI4CE
174
23
0
24 Dec 2020
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
IEEE International Conference on Robotics and Automation (ICRA), 2020
Xinlei Pan
Animesh Garg
Anima Anandkumar
Yuke Zhu
228
19
0
22 Dec 2020
Bayesian Optimization of Area-based Road Pricing
International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2020
Renming Liu
Yu Jiang
C. L. Azevedo
122
6
0
20 Dec 2020
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?
Journal of machine learning research (JMLR), 2020
Antoine Grosnit
Alexander I. Cowen-Rivers
Rasul Tutunov
Ryan-Rhys Griffiths
Jun Wang
Haitham Bou-Ammar
219
17
0
15 Dec 2020
Accelerating high-throughput virtual screening through molecular pool-based active learning
Chemical Science (Chem. Sci.), 2020
David E. Graff
E. Shakhnovich
Connor W. Coley
200
177
0
13 Dec 2020
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