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1807.02811
Cited By
A Tutorial on Bayesian Optimization
8 July 2018
P. Frazier
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Papers citing
"A Tutorial on Bayesian Optimization"
50 / 725 papers shown
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
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Zhiyuan Yang
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275
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Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
International Conference on Machine Learning (ICML), 2022
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Christopher van der Heide
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Michael W. Mahoney
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277
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243
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13 Oct 2022
Sample-Then-Optimize Batch Neural Thompson Sampling
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Zhongxiang Dai
Yao Shu
Bryan Kian Hsiang Low
Patrick Jaillet
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199
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En-zhan Zhang
M. Munetomo
167
1
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13 Oct 2022
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions
European Conference on Artificial Intelligence (ECAI), 2022
Yongsheng Mei
Tian-Shing Lan
Mahdi Imani
Suresh Subramaniam
GP
222
21
0
13 Oct 2022
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design
Ji Won Park
Samuel Stanton
Saeed Saremi
Andrew Watkins
Henri Dwyer
Vladimir Gligorijević
Richard Bonneau
Stephen Ra
Kyunghyun Cho
214
14
0
08 Oct 2022
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Neural Information Processing Systems (NeurIPS), 2022
Ben Tu
Axel Gandy
N. Kantas
B. Shafei
237
57
0
06 Oct 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
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Lei Song
Ke Xue
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Chaojun Qian
301
48
0
04 Oct 2022
Meta-Learning Priors for Safe Bayesian Optimization
Conference on Robot Learning (CoRL), 2022
Jonas Rothfuss
Christopher Koenig
Alisa Rupenyan
Andreas Krause
349
32
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03 Oct 2022
Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning
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Péter Antal
Tamás Péni
R. Tóth
193
16
0
29 Sep 2022
Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations
ACM Conference on Recommender Systems (RecSys), 2022
Blaž Škrlj
A. Schwartz
Jure Ferlez
Davorin Kopic
Naama Ziporin
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83
1
0
29 Sep 2022
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification
Frontiers in Neuroscience (Front. Neurosci.), 2022
Biswadeep Chakraborty
Saibal Mukhopadhyay
208
25
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22 Sep 2022
Periodic Extrapolative Generalisation in Neural Networks
IEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022
Peter Belcak
Roger Wattenhofer
209
4
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21 Sep 2022
Falsification of Cyber-Physical Systems using Bayesian Optimization
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Zahra Ramezani
Kenan Sehic
Luigi Nardi
K. Åkesson
450
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Active Learning for Optimal Intervention Design in Causal Models
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Jiaqi Zhang
Louis V. Cammarata
C. Squires
T. Sapsis
Caroline Uhler
CML
337
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10 Sep 2022
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models
Jared Lichtarge
Chris Alberti
Shankar Kumar
290
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C. Rajani
Karol Arndt
David Blanco Mulero
K. Luck
Ville Kyrki
147
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02 Sep 2022
Optimistic Optimization of Gaussian Process Samples
Julia Grosse
Cheng Zhang
Philipp Hennig
GP
252
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0
02 Sep 2022
Computational design of antimicrobial active surfaces via automated Bayesian optimization
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Hanfeng Zhai
J. Yeo
AI4CE
46
9
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31 Aug 2022
Bayesian Optimization-based Combinatorial Assignment
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Jakob Weissteiner
Jakob Heiss
Julien N. Siems
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355
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31 Aug 2022
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation
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Pedro J. Freire
A. Napoli
D. A. Ron
B. Spinnler
M. Anderson
W. Schairer
T. Bex
N. Costa
S. Turitsyn
Jaroslaw E. Prilepsky
323
41
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26 Aug 2022
Bayesian Optimization with Informative Covariance
Afonso Eduardo
Michael U. Gutmann
247
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04 Aug 2022
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Davide Giacomini
Luca Muscarnera
Andrea Mazzoleni
329
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03 Aug 2022
Learning Skill-based Industrial Robot Tasks with User Priors
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Carl Hvarfner
Konstantinos Chatzilygeroudis
Luigi Nardi
Volker Krueger
241
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02 Aug 2022
Tackling Neural Architecture Search With Quality Diversity Optimization
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Florian Pfisterer
P. Kent
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J. Herbinger
Janek Thomas
AI4CE
274
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30 Jul 2022
Inference of Regulatory Networks Through Temporally Sparse Data
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120
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21 Jul 2022
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning
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Ilnura N. Usmanova
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Andreas Krause
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272
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Structural Causal 3D Reconstruction
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Zhen Liu
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357
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Cong Lu
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174
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Dominik Scheinert
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215
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Max Welling
156
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Automatic Parameter Adaptation for Quadrotor Trajectory Planning
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Xin Zhou
Chao Xu
Fei Gao
158
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13 Jul 2022
Parallel Bayesian Optimization of Agent-based Transportation Simulation
International Conference on Machine Learning, Optimization, and Data Science (MOD), 2022
Kiran Chhatre
Sidney A. Feygin
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Rashid A. Waraich
MoE
57
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11 Jul 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
International Conference on Machine Learning (ICML), 2022
Tung Nguyen
Aditya Grover
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315
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09 Jul 2022
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Neural Information Processing Systems (NeurIPS), 2022
Alexander Thebelt
Calvin Tsay
Robert M. Lee
Nathan Sudermann-Merx
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B. Shafei
Ruth Misener
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358
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02 Jul 2022
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization
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Isabelle M Guyon
V. Vishwanath
Dali Wang
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AlphaMLDigger: A Novel Machine Learning Solution to Explore Excess Return on Investment
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Zhehu Yuan
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102
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Bayesian Optimization under Stochastic Delayed Feedback
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Zhongxiang Dai
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242
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Designing MacPherson Suspension Architectures using Bayesian Optimization
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Jacopo Palandri
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Punarjay Chakravarty
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Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
International Conference on Machine Learning (ICML), 2022
Deokjae Lee
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49
0
17 Jun 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
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Stochastic Zeroth order Descent with Structured Directions
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Lorenzo Rosasco
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Joint Entropy Search for Maximally-Informed Bayesian Optimization
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Katharina Eggensperger
Luigi Nardi
358
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Ulpu Remes
T. Koski
128
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Recent Advances in Bayesian Optimization
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Yaochu Jin
Sebastian Schmitt
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303
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Xiaoyun Sun
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Yongtao Liu
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Rama K Vasudevan
Sergei V. Kalinin
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163
70
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125
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