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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
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162
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Masanari Kimura
H. Hino
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Gradient-Free Textual Inversion
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Zhengcong Fei
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292
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Quantum approximate optimization via learning-based adaptive optimization
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Lixue Cheng
Yu-Qin Chen
Shi-Xin Zhang
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216
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27 Mar 2023
Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of Multipliers
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J. Paulson
136
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Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach
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Vinícius V. Santana
É. Costa
C. Rebello
A. M. Ribeiro
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Idelfonso B. R. Nogueira
238
18
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22 Mar 2023
Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing
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Kunal Jain
J. PrabuchandranK.
Tejas Bodas
249
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21 Mar 2023
Systematic design space exploration by learning the explored space using Machine Learning
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Anish Kumar
Sumit Sharma
Surjeet Singh
Kumar Vardhan
134
0
0
14 Mar 2023
Discovering Multiple Algorithm Configurations
IEEE International Conference on Robotics and Automation (ICRA), 2023
L. Keselman
M. Hebert
260
1
0
13 Mar 2023
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
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Zhiwei Tang
Dmitry Rybin
Tsung-Hui Chang
ALM
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550
43
0
07 Mar 2023
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Leixin Ma
Mrunmayi Mungekar
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M. Jawed
109
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04 Mar 2023
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Zahra Ghorrati
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220
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Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
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Aryan Deshwal
Sebastian Ament
Maximilian Balandat
E. Bakshy
J. Doppa
David Eriksson
363
35
0
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Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal
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Francesco Di Fiore
Michela Nardelli
L. Mainini
445
56
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02 Mar 2023
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
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Elena Raponi
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Carola Doerr
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Structured Pruning for Deep Convolutional Neural Networks: A survey
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Yang He
Lingao Xiao
3DPC
455
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Péter Völgyesi
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191
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28 Feb 2023
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift
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Syama Sundar Rangapuram
Shubham Kapoor
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AI4TS
209
3
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23 Feb 2023
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245
14
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22 Feb 2023
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Cho-Jui Hsieh
T. C. Lee
350
2
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John Violos
Stylianos Tsanakas
Aris Leivadeas
Konstantinos Tserpes
T. Varvarigou
162
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09 Feb 2023
Black Box Adversarial Prompting for Foundation Models
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Patrick Chao
Eric Wong
Jacob R. Gardner
VLM
389
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Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration
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Ichiro Takeuchi
BDL
458
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A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins
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Reid A. Berdanier
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A. Basak
98
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0
30 Jan 2023
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
Transactions of the Association for Computational Linguistics (TACL), 2023
Han Zhou
Xingchen Wan
Ivan Vulić
Anna Korhonen
278
56
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28 Jan 2023
Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints
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Wenjie Xu
Colin N. Jones
B. Svetozarevic
C. Laughman
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219
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Learning Reservoir Dynamics with Temporal Self-Modulation
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Yusuke Sakemi
S. Nobukawa
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238
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23 Jan 2023
Robust Bayesian Target Value Optimization
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Bernhard C. Geiger
222
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11 Jan 2023
Learning-based Design and Control for Quadrupedal Robots with Parallel-Elastic Actuators
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Filip Bjelonic
Joonho Lee
Philip Arm
Dhionis V. Sako
Davide Tateo
Jan Peters
Marco Hutter
186
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Extrinsic Bayesian Optimizations on Manifolds
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276
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On Noisy Evaluation in Federated Hyperparameter Tuning
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455
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GAUCHE: A Library for Gaussian Processes in Chemistry
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P. Schwaller
Jian Tang
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457
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BaCO: A Fast and Portable Bayesian Compiler Optimization Framework
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E. Hellsten
Artur L. F. Souza
Johannes Lenfers
Rubens Lacouture
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Adel Ejjeh
Fredrik Kjolstad
Michel Steuwer
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Luigi Nardi
273
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Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
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Andreas Döpp
C. Eberle
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374
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Kai Junge
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