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Predictive Entropy Search for Efficient Global Optimization of Black-box
  Functions

Predictive Entropy Search for Efficient Global Optimization of Black-box Functions

Neural Information Processing Systems (NeurIPS), 2014
10 June 2014
José Miguel Hernández-Lobato
Matthew W. Hoffman
Zoubin Ghahramani
ArXiv (abs)PDFHTML

Papers citing "Predictive Entropy Search for Efficient Global Optimization of Black-box Functions"

50 / 358 papers shown
Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing
Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing
D. Leeftink
Roman Doll
Heleen Visserman
Marco Post
Faysal Boughorbel
Max Hinne
Marcel van Gerven
59
0
0
28 Nov 2025
Local Entropy Search over Descent Sequences for Bayesian Optimization
Local Entropy Search over Descent Sequences for Bayesian Optimization
David Stenger
Armin Lindicke
Alexander von Rohr
Sebastian Trimpe
76
0
0
24 Nov 2025
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
Ji Cheng
Bo Xue
Qingfu Zhang
109
1
0
08 Nov 2025
Informed Initialization for Bayesian Optimization and Active Learning
Informed Initialization for Bayesian Optimization and Active Learning
Carl Hvarfner
David Eriksson
E. Bakshy
Max Balandat
AI4CE
154
0
0
27 Oct 2025
Beyond Pairwise: Empowering LLM Alignment With Ranked Choice Modeling
Beyond Pairwise: Empowering LLM Alignment With Ranked Choice Modeling
Yuxuan Tang
Yifan Feng
124
0
0
24 Oct 2025
Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring
Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring
Zhibo Hou
Zhiyu An
Wan Du
146
0
0
29 Sep 2025
Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems
Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems
Takuya Kanayama
Yuki Ito
T. Tamura
Masayuki Karasuyama
104
0
0
26 Sep 2025
A Minimalist Bayesian Framework for Stochastic Optimization
A Minimalist Bayesian Framework for Stochastic Optimization
Kaizheng Wang
156
0
0
07 Sep 2025
Enhancing Trust-Region Bayesian Optimization via Newton Methods
Enhancing Trust-Region Bayesian Optimization via Newton Methods
Quanlin Chen
Yiyu Chen
Jing Huo
Tianyu Ding
Yang Gao
Y. Chen
115
0
0
25 Aug 2025
A Guide to Bayesian Optimization in Bioprocess Engineering
A Guide to Bayesian Optimization in Bioprocess Engineering
Maximilian Siska
Emma Pajak
Katrin Rosenthal
Antonio del Rio Chanona
E. Lieres
L. M. Helleckes
152
1
0
14 Aug 2025
On Some Tunable Multi-fidelity Bayesian Optimization Frameworks
On Some Tunable Multi-fidelity Bayesian Optimization Frameworks
Arjun Manoj
Anastasia S. Georgiou
Dimitris G. Giovanis
T. Sapsis
Ioannis G. Kevrekidis
182
0
0
01 Aug 2025
Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization
Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization
Bach Do
Nafeezat A. Ajenifuja
Taiwo A. Adebiyi
Ruda Zhang
GP
197
3
0
19 Jul 2025
Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling
Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling
Gustavo Sutter Pessurno de Carvalho
Mohammed Abdulrahman
Hao Wang
Sriram Ganapathi Subramanian
Marc St-Aubin
Sharon O'Sullivan
Lawrence Wan
Luis Ricardez-Sandoval
Pascal Poupart
Agustinus Kristiadi
247
1
0
29 May 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou
Ville Kyrki
Pasi Fränti
Laura Ruotsalainen
BDLAI4CE
432
0
0
12 May 2025
FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization
FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization
Hui Chen
Xuhui Fan
Zhangkai Wu
Longbing Cao
271
0
0
28 Apr 2025
Soft yet Effective Robots via Holistic Co-Design
Soft yet Effective Robots via Holistic Co-Design
Maximilian Stolzle
Niccolò Pagliarani
F. Stella
Josie Hughes
Cecilia Laschi
Daniela Rus
M. Cianchetti
Cosimo Della Santina
Gioele Zardini
278
2
0
20 Apr 2025
Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion
Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion
Zeyang Zheng
Arman Hosseini
Dong Chen
Omid Shoghli
Arsalan Heydarian
195
0
0
04 Apr 2025
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing
Maurizio Ferrari Dacrema
Michael Benigni
Nicola Ferro
265
2
0
10 Mar 2025
Exploring Exploration in Bayesian Optimization
Exploring Exploration in Bayesian OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2025
Leonard Papenmeier
Nuojin Cheng
Stephen Becker
Luigi Nardi
200
6
0
12 Feb 2025
Pareto-frontier Entropy Search with Variational Lower Bound Maximization
Pareto-frontier Entropy Search with Variational Lower Bound Maximization
Masanori Ishikura
Masayuki Karasuyama
447
2
0
31 Jan 2025
Information-theoretic Bayesian Optimization: Survey and Tutorial
Information-theoretic Bayesian Optimization: Survey and Tutorial
Eduardo C. Garrido-Merchán
350
3
0
22 Jan 2025
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
Cost-aware Bayesian Optimization via the Pandora's Box Gittins IndexNeural Information Processing Systems (NeurIPS), 2024
Qian Xie
Raul Astudillo
P. Frazier
Ziv Scully
Alexander Terenin
476
14
0
17 Jan 2025
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Unexpected Improvements to Expected Improvement for Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2023
Sebastian Ament
Sam Daulton
David Eriksson
Maximilian Balandat
E. Bakshy
383
158
0
08 Jan 2025
Distributed Thompson sampling under constrained communication
Distributed Thompson sampling under constrained communicationIEEE Control Systems Letters (L-CSS), 2024
Saba Zerefa
Tongzheng Ren
Haitong Ma
Na Li
363
2
0
03 Jan 2025
Indirect Query Bayesian Optimization with Integrated Feedback
Indirect Query Bayesian Optimization with Integrated Feedback
Mengyan Zhang
S. Bouabid
Cheng Soon Ong
Seth Flaxman
Dino Sejdinovic
327
0
0
18 Dec 2024
Active Sequential Posterior Estimation for Sample-Efficient
  Simulation-Based Inference
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based InferenceNeural Information Processing Systems (NeurIPS), 2024
Sam Griesemer
Defu Cao
Zijun Cui
Carolina Osorio
Wenshu Fan
328
4
0
07 Dec 2024
Alpha Entropy Search for New Information-based Bayesian Optimization
Alpha Entropy Search for New Information-based Bayesian OptimizationKnowledge-Based Systems (KBS), 2024
Daniel Fernández-Sánchez
Eduardo C. Garrido-Merchán
Daniel Hernández-Lobato
304
2
0
25 Nov 2024
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints EstimationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Diantong Li
Fengxue Zhang
Chong Liu
Yuxin Chen
998
1
0
06 Nov 2024
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
Optimizing Posterior Samples for Bayesian Optimization via RootfindingInternational Conference on Learning Representations (ICLR), 2024
Taiwo A. Adebiyi
Bach Do
Ruda Zhang
531
6
0
29 Oct 2024
Practical Bayesian Algorithm Execution via Posterior Sampling
Practical Bayesian Algorithm Execution via Posterior SamplingNeural Information Processing Systems (NeurIPS), 2024
Chu Xin Cheng
Raul Astudillo
Thomas Desautels
Yisong Yue
256
1
0
27 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
Amortized Probabilistic Conditioning for Optimization, Simulation and InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Paul E. Chang
Nasrulloh Loka
Daolang Huang
Ulpu Remes
Samuel Kaski
Luigi Acerbi
AI4CE
402
17
0
20 Oct 2024
Stein Variational Evolution Strategies
Stein Variational Evolution StrategiesConference on Uncertainty in Artificial Intelligence (UAI), 2024
Cornelius V. Braun
Robert T. Lange
Marc Toussaint
482
4
0
14 Oct 2024
Batched Energy-Entropy acquisition for Bayesian Optimization
Batched Energy-Entropy acquisition for Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2024
Felix Teufel
Carsten Stahlhut
J. Ferkinghoff-Borg
168
1
0
11 Oct 2024
Gaussian Process Thompson Sampling via Rootfinding
Gaussian Process Thompson Sampling via Rootfinding
Taiwo A. Adebiyi
Bach Do
Ruda Zhang
GP
249
4
0
10 Oct 2024
Regret Analysis for Randomized Gaussian Process Upper Confidence Bound
Regret Analysis for Randomized Gaussian Process Upper Confidence Bound
Shion Takeno
Yu Inatsu
Masayuki Karasuyama
370
0
0
02 Sep 2024
An Offline Meta Black-box Optimization Framework for Adaptive Design of
  Urban Traffic Light Management Systems
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management SystemsKnowledge Discovery and Data Mining (KDD), 2024
Taeyoung Yun
Kanghoon Lee
Sujin Yun
Ilmyung Kim
Won-Woo Jung
Min-Cheol Kwon
Kyujin Choi
Yoohyeon Lee
Jinkyoo Park
304
2
0
14 Aug 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
Alaleh Ahmadianshalchi
Syrine Belakaria
J. Doppa
228
9
0
13 Jun 2024
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
Physics-Informed Bayesian Optimization of Variational Quantum CircuitsNeural Information Processing Systems (NeurIPS), 2024
K. Nicoli
Christopher J. Anders
L. Funcke
T. Hartung
Karl Jansen
Stefan Kühn
Klaus-Robert Müller
Paolo Stornati
Pan Kessel
Shinichi Nakajima
131
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10 Jun 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided
  by a Function Prior
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
Shuyu Cheng
Yibo Miao
Yinpeng Dong
Xiao Yang
Xiao-Shan Gao
Jun Zhu
AAML
222
10
0
29 May 2024
Robust Entropy Search for Safe Efficient Bayesian Optimization
Robust Entropy Search for Safe Efficient Bayesian Optimization
D. Weichert
Alexander Kister
Sebastian Houben
Patrick Link
G. Ernis
AAML
350
1
0
29 May 2024
A Quadrature Approach for General-Purpose Batch Bayesian Optimization
  via Probabilistic Lifting
A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Saad Hamid
Harald Oberhauser
Michael A. Osborne
GP
410
3
0
18 Apr 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Dawei Zhan
278
13
0
18 Apr 2024
Multi-Fidelity Reinforcement Learning for Time-Optimal Quadrotor Re-planning
Multi-Fidelity Reinforcement Learning for Time-Optimal Quadrotor Re-planningThe international journal of robotics research (IJRR), 2024
Gilhyun Ryou
Geoffrey Wang
S. Karaman
399
4
0
13 Mar 2024
An Adaptive Dimension Reduction Estimation Method for High-dimensional
  Bayesian Optimization
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization
Shouri Hu
Jiawei Li
Zhibo Cai
183
2
0
08 Mar 2024
Epsilon-Greedy Thompson Sampling to Bayesian Optimization
Epsilon-Greedy Thompson Sampling to Bayesian Optimization
Bach Do
Taiwo A. Adebiyi
Ruda Zhang
305
14
0
01 Mar 2024
Stopping Bayesian Optimization with Probabilistic Regret Bounds
Stopping Bayesian Optimization with Probabilistic Regret Bounds
James T. Wilson
225
12
0
26 Feb 2024
Information-Theoretic Safe Bayesian Optimization
Information-Theoretic Safe Bayesian Optimization
A. Bottero
Carlos E. Luis
Julia Vinogradska
Felix Berkenkamp
Jan Peters
246
1
0
23 Feb 2024
Variational Entropy Search for Adjusting Expected Improvement
Variational Entropy Search for Adjusting Expected Improvement
Nuojin Cheng
Stephen Becker
259
1
0
17 Feb 2024
Transition Constrained Bayesian Optimization via Markov Decision
  Processes
Transition Constrained Bayesian Optimization via Markov Decision Processes
Jose Pablo Folch
Calvin Tsay
Robert M. Lee
B. Shafei
Weronika Ormaniec
Andreas Krause
Mark van der Wilk
Ruth Misener
Mojmír Mutný
375
9
0
13 Feb 2024
Active Few-Shot Fine-Tuning
Active Few-Shot Fine-Tuning
Jonas Hübotter
Bhavya Sukhija
Lenart Treven
Yarden As
Andreas Krause
424
3
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13 Feb 2024
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