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Batch Bayesian Optimization via Local Penalization
v1v2v3v4 (latest)

Batch Bayesian Optimization via Local Penalization

International Conference on Artificial Intelligence and Statistics (AISTATS), 2015
29 May 2015
Javier I. González
Zhenwen Dai
Philipp Hennig
Neil D. Lawrence
ArXiv (abs)PDFHTML

Papers citing "Batch Bayesian Optimization via Local Penalization"

50 / 170 papers shown
Bifidelity Karhunen-Loève Expansion Surrogate with Active Learning for Random Fields
Bifidelity Karhunen-Loève Expansion Surrogate with Active Learning for Random Fields
Aniket Jivani
Cosmin Safta
Beckett Y. Zhou
Xun Huan
AI4CE
162
0
0
05 Nov 2025
Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning
Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning
Olivier Goudet
Quentin Suire
Adrien Goëffon
F. Saubion
Sylvain Lamprier
OffRL
165
1
0
02 Oct 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
179
2
0
14 Aug 2025
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit SettingAAAI Conference on Artificial Intelligence (AAAI), 2025
Sifan Yang
Yuanyu Wan
Lijun Zhang
130
1
0
01 Aug 2025
Multi-fidelity Bayesian Data-Driven Design of Energy Absorbing Spinodoid Cellular Structures
Multi-fidelity Bayesian Data-Driven Design of Energy Absorbing Spinodoid Cellular Structures
Leo Guo
Hirak Kansara
Siamak F. Khosroshahi
GuoQi Zhang
Wei Tan
AI4CE
174
1
0
25 Jul 2025
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks
J. Gornet
Yiannis Kantaros
Bruno Sinopoli
857
3
0
27 Apr 2025
Gradient-based Sample Selection for Faster Bayesian Optimization
Gradient-based Sample Selection for Faster Bayesian Optimization
Qiyu Wei
Haowei Wang
Zirui Cao
Songhao Wang
Richard Allmendinger
Mauricio A Álvarez
354
1
0
10 Apr 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Mingyu Pu
Songhao Wang
Haowei Wang
Szu Hui Ng
263
0
0
04 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
317
8
0
12 Feb 2025
Co-Learning Bayesian Optimization
Co-Learning Bayesian OptimizationIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2022
Zhendong Guo
Yew-Soon Ong
Tiantian He
Haitao Liu
361
6
0
23 Jan 2025
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
Scalable Bayesian Optimization via Focalized Sparse Gaussian ProcessesNeural Information Processing Systems (NeurIPS), 2024
Yunyue Wei
Vincent Zhuang
Saraswati Soedarmadji
Yanan Sui
946
6
0
29 Dec 2024
Inversion-based Latent Bayesian Optimization
Inversion-based Latent Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2024
Jaewon Chu
Jinyoung Park
Seunghun Lee
H. Kim
BDL
264
15
0
08 Nov 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
188
1
0
11 Oct 2024
An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise
An Adaptive Re-evaluation Method for Evolution Strategy under Additive NoiseAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2024
Catalin-Viorel Dinu
Yash J. Patel
X. Bonet-Monroig
Hao Wang
358
1
0
25 Sep 2024
Training Greedy Policy for Proposal Batch Selection in Expensive
  Multi-Objective Combinatorial Optimization
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
Deokjae Lee
Hyun Oh Song
Kyunghyun Cho
OffRL
274
0
0
21 Jun 2024
Data-Efficient Discovery of Hyperelastic TPMS Metamaterials with Extreme Energy Dissipation
Data-Efficient Discovery of Hyperelastic TPMS Metamaterials with Extreme Energy Dissipation
Maxine Perroni-Scharf
Zachary Ferguson
Thomas Butrille
Carlos Portela
Mina Konaković Luković
306
3
0
29 May 2024
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian
  Optimization
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2024
Anthony Bardou
Patrick Thiran
Giovanni Ranieri
219
6
0
23 May 2024
CMA-ES for Safe Optimization
CMA-ES for Safe OptimizationAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2024
Kento Uchida
Ryoki Hamano
Masahiro Nomura
Shota Saito
Shinichi Shirakawa
210
6
0
17 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
445
3
0
18 Apr 2024
Multiple-Source Localization from a Single-Snapshot Observation Using
  Graph Bayesian Optimization
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization
Zonghan Zhang
Zijian Zhang
Zhiqian Chen
179
3
0
25 Mar 2024
TS-RSR: A provably efficient approach for batch Bayesian Optimization
TS-RSR: A provably efficient approach for batch Bayesian Optimization
Tongzheng Ren
Na Li
564
2
0
07 Mar 2024
FlexHB: a More Efficient and Flexible Framework for Hyperparameter
  Optimization
FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization
Yang Zhang
Haiyang Wu
Yuekui Yang
341
1
0
21 Feb 2024
Multi-Fidelity Methods for Optimization: A Survey
Multi-Fidelity Methods for Optimization: A Survey
Ke Li
Fan Li
AI4CE
342
18
0
15 Feb 2024
A Unified Gaussian Process for Branching and Nested Hyperparameter
  Optimization
A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization
Jiazhao Zhang
Ying Hung
Chung-Ching Lin
Zicheng Liu
337
0
0
19 Jan 2024
Beyond Regrets: Geometric Metrics for Bayesian Optimization
Beyond Regrets: Geometric Metrics for Bayesian Optimization
Jungtaek Kim
329
0
0
03 Jan 2024
Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental
  Design of Known Systems
Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems
Tom Savage
Ehecatl Antonio del Rio Chanona
244
3
0
05 Dec 2023
Batch Bayesian Optimization for Replicable Experimental Design
Batch Bayesian Optimization for Replicable Experimental DesignNeural Information Processing Systems (NeurIPS), 2023
Zhongxiang Dai
Q. Nguyen
Sebastian Shenghong Tay
Daisuke Urano
Richalynn Leong
Bryan Kian Hsiang Low
Patrick Jaillet
266
7
0
02 Nov 2023
Pseudo-Bayesian Optimization
Pseudo-Bayesian Optimization
Haoxian Chen
Henry Lam
452
4
0
15 Oct 2023
PriorBand: Practical Hyperparameter Optimization in the Age of Deep
  Learning
PriorBand: Practical Hyperparameter Optimization in the Age of Deep LearningNeural Information Processing Systems (NeurIPS), 2023
Neeratyoy Mallik
Eddie Bergman
Carl Hvarfner
Daniel Stoll
Maciej Janowski
Marius Lindauer
Luigi Nardi
Katharina Eggensperger
357
42
0
21 Jun 2023
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian
  Optimization
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2023
Kamil Dreczkowski
Antoine Grosnit
Haitham Bou-Ammar
333
20
0
16 Jun 2023
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics
  Approach
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics ApproachInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Xingchen Wan
Vu Nguyen
Harald Oberhauser
Michael A. Osborne
362
7
0
09 Jun 2023
Is novelty predictable?
Is novelty predictable?Cold Spring Harbor Perspectives in Biology (Cold Spring Harb Perspect Biol), 2023
Clara Fannjiang
Jennifer Listgarten
AI4CE
230
16
0
01 Jun 2023
Parallelized Acquisition for Active Learning using Monte Carlo Sampling
Parallelized Acquisition for Active Learning using Monte Carlo Sampling
J. Torrado
Nils Schöneberg
Jonas El Gammal
292
3
0
30 May 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization
OpenBox: A Python Toolkit for Generalized Black-box OptimizationJournal of machine learning research (JMLR), 2023
Huaijun Jiang
Yu Shen
Yan Zhao
Beicheng Xu
Sixian Du
Wentao Zhang
Ce Zhang
Tengjiao Wang
390
15
0
26 Apr 2023
Adaptive Experimentation at Scale: A Computational Framework for
  Flexible Batches
Adaptive Experimentation at Scale: A Computational Framework for Flexible Batches
Ethan Che
Hongseok Namkoong
OffRL
479
4
0
21 Mar 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge
  Collaborative AutoML System
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System
Chao Xue
Wen Liu
Shunxing Xie
Zhenfang Wang
Jiaxing Li
...
Shi-Yong Chen
Yibing Zhan
Jing Zhang
Chaoyue Wang
Dacheng Tao
273
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01 Mar 2023
CO-BED: Information-Theoretic Contextual Optimization via Bayesian
  Experimental Design
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental DesignInternational Conference on Machine Learning (ICML), 2023
Desi R. Ivanova
Joel Jennings
Tom Rainforth
Cheng Zhang
Adam Foster
354
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0
27 Feb 2023
Trieste: Efficiently Exploring The Depths of Black-box Functions with
  TensorFlow
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
Victor Picheny
Joel Berkeley
Henry B. Moss
Hrvoje Stojić
Uri Granta
...
Sergio Pascual-Diaz
Stratis Markou
Jixiang Qing
Nasrulloh Loka
Ivo Couckuyt
266
24
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16 Feb 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets
Sample-efficient Multi-objective Molecular Optimization with GFlowNetsNeural Information Processing Systems (NeurIPS), 2023
Yiheng Zhu
Jialun Wu
Chaowen Hu
Jiahuan Yan
Chang-Yu Hsieh
Tingjun Hou
Jian Wu
476
62
0
08 Feb 2023
GFlowNets for AI-Driven Scientific Discovery
GFlowNets for AI-Driven Scientific DiscoveryDigital Discovery (DD), 2023
Moksh Jain
T. Deleu
Jason S. Hartford
Cheng-Hao Liu
Alex Hernandez-Garcia
Yoshua Bengio
AI4CE
391
78
0
01 Feb 2023
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature
  over Discrete and Mixed Spaces
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces
Masaki Adachi
Satoshi Hayakawa
Saad Hamid
Martin Jørgensen
Harald Oberhauser
Michael A. Osborne
508
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0
27 Jan 2023
GAUCHE: A Library for Gaussian Processes in Chemistry
GAUCHE: A Library for Gaussian Processes in ChemistryNeural Information Processing Systems (NeurIPS), 2022
Ryan-Rhys Griffiths
Leo Klarner
Henry B. Moss
Aditya Ravuri
Sang T. Truong
...
A. Lee
Bingqing Cheng
Alán Aspuru-Guzik
P. Schwaller
Jian Tang
GP
462
57
0
06 Dec 2022
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian
  Optimization
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian OptimizationComputers and Chemical Engineering (CCE), 2022
Jose Pablo Folch
Robert M. Lee
B. Shafei
David Walz
Calvin Tsay
Mark van der Wilk
Ruth Misener
363
36
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11 Nov 2022
Fast and robust Bayesian Inference using Gaussian Processes with GPry
Fast and robust Bayesian Inference using Gaussian Processes with GPryJournal of Cosmology and Astroparticle Physics (JCAP), 2022
Jonas El Gammal
Nils Schöneberg
J. Torrado
C. Fidler
GP
405
20
0
03 Nov 2022
Movement Penalized Bayesian Optimization with Application to Wind Energy
  Systems
Movement Penalized Bayesian Optimization with Application to Wind Energy SystemsNeural Information Processing Systems (NeurIPS), 2022
Shyam Sundhar Ramesh
Pier Giuseppe Sessa
Andreas Krause
Ilija Bogunovic
225
14
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14 Oct 2022
Batch Bayesian optimisation via density-ratio estimation with guarantees
Batch Bayesian optimisation via density-ratio estimation with guaranteesNeural Information Processing Systems (NeurIPS), 2022
Rafael Oliveira
Louis C. Tiao
Fabio Ramos
371
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Batch Bayesian Optimization via Particle Gradient Flows
Batch Bayesian Optimization via Particle Gradient Flows
Enrico Crovini
S. Cotter
K. Zygalakis
Andrew B. Duncan
224
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Bayesian Optimization for Macro Placement
Bayesian Optimization for Macro Placement
Changyong Oh
Roberto Bondesan
D. Kianfar
Rehan Ahmed
Rishubh Khurana
Payal Agarwal
Romain Lepert
M. Sriram
Max Welling
215
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Asynchronous Decentralized Bayesian Optimization for Large Scale
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Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter OptimizationIEEE International Conference on e-Science (ICE), 2022
Romain Egele
Isabelle M Guyon
V. Vishwanath
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A penalisation method for batch multi-objective Bayesian optimisation
  with application in heat exchanger design
A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger design
Andrei Paleyes
Henry B. Moss
Victor Picheny
Piotr Zulawski
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265
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