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2310.20708
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Unexpected Improvements to Expected Improvement for Bayesian Optimization
Neural Information Processing Systems (NeurIPS), 2023
8 January 2025
Sebastian Ament
Sam Daulton
David Eriksson
Maximilian Balandat
E. Bakshy
Re-assign community
ArXiv (abs)
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Github (35234★)
Papers citing
"Unexpected Improvements to Expected Improvement for Bayesian Optimization"
50 / 66 papers shown
We Still Don't Understand High-Dimensional Bayesian Optimization
Colin Doumont
Donney Fan
Natalie Maus
Jacob R. Gardner
Henry B. Moss
Geoff Pleiss
AI4CE
130
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0
10 Apr 2026
NeST-BO: Fast Local Bayesian Optimization via Newton-Step Targeting of Gradient and Hessian Information
Wei-Ting Tang
Akshay Kudva
J. Paulson
134
1
0
30 Mar 2026
Batch Acquisition Function Evaluations and Decouple Optimizer Updates for Faster Bayesian Optimization
Kaichi Irie
Shuhei Watanabe
Masaki Onishi
197
0
0
17 Nov 2025
Multi-objective Hyperparameter Optimization in the Age of Deep Learning
Knowledge Discovery and Data Mining (KDD), 2025
Soham Basu
Frank Hutter
Danny Stoll
164
1
0
11 Nov 2025
GPTOpt: Teaching LLMs to do Interpretable Black-Box Optimization
Jamison Meindl
Yunsheng Tian
Tony Cui
Veronika Thost
Zhang-Wei Hong
Jie Chen
Wojciech Matusik
Mina Konakovic-Lukovic
193
0
0
29 Oct 2025
Informed Initialization for Bayesian Optimization and Active Learning
Carl Hvarfner
David Eriksson
E. Bakshy
Max Balandat
AI4CE
218
1
0
27 Oct 2025
Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions
Yuanhao Lai
Pengfei Zheng
Chenpeng Ji
Yan Li
Songhan Zhang
Rutao Zhang
Z. Wang
Yunfei Du
138
0
0
26 Oct 2025
Amortized Active Generation of Pareto Sets
Daniel M. Steinberg
Asiri Wijesinghe
Rafael Oliveira
Piotr Koniusz
Cheng Soon Ong
Edwin V. Bonilla
254
0
0
23 Oct 2025
LILO: Bayesian Optimization with Interactive Natural Language Feedback
Katarzyna Kobalczyk
Zhiyuan Jerry Lin
Benjamin Letham
Zhuokai Zhao
Maximilian Balandat
E. Bakshy
137
1
0
20 Oct 2025
Counterfactual Credit Guided Bayesian Optimization
Qiyu Wei
Haowei Wang
Richard Allmendinger
Mauricio A Álvarez
191
0
0
06 Oct 2025
BONSAI: Structure-exploiting robust Bayesian optimization for networked black-box systems under uncertainty
Akshay Kudva
J. Paulson
146
3
0
04 Oct 2025
ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
Jamison Meindl
Yunsheng Tian
Tony Cui
Veronika Thost
Zhang-Wei Hong
Johannes Dürholt
Jie Chen
Wojciech Matusik
Mina Konakovic-Lukovic
215
1
0
03 Oct 2025
FITS: Towards an AI-Driven Fashion Information Tool for Sustainability
Daphne Theodorakopoulos
Elisabeth Eberling
Miriam Bodenheimer
Sabine Loos
Frederic Stahl
199
0
0
30 Sep 2025
TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion
Sophia Tang
Yuchen Zhu
Molei Tao
Pranam Chatterjee
170
10
0
29 Sep 2025
Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization
Manish Acharya
David Hyde
309
0
0
22 Sep 2025
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
Richard Cornelius Suwandi
Feng Yin
Juntao Wang
Renjie Li
Tsung-Hui Chang
Sergios Theodoridis
BDL
224
2
0
22 Sep 2025
Stochastic Gradient Descent with Strategic Querying
Nanfei Jiang
Hoi-To Wai
M. Alizadeh
164
0
0
23 Aug 2025
Cooperative Design Optimization through Natural Language Interaction
ACM Symposium on User Interface Software and Technology (UIST), 2025
Ryogo Niwa
Shigeo Yoshida
Yuki Koyama
Yoshitaka Ushiku
273
3
0
22 Aug 2025
Holistic Bioprocess Development Across Scales Using Multi-Fidelity Batch Bayesian Optimization
Adrian Martens
Mathias Neufang
A. Butté
M. Stosch
Antonio del Rio Chanona
L. M. Helleckes
178
1
0
14 Aug 2025
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
Scalable neural network-based blackbox optimization
Structural And Multidisciplinary Optimization (SMO), 2025
Pavankumar Koratikere
Leifur Leifsson
281
0
0
05 Aug 2025
Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning
Kebin Sun
Tao Jiang
Ran Cheng
Yaochu Jin
Kay Chen Tan
Kay Chen Tan
206
0
0
01 Aug 2025
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
Adaptive Bayesian Data-Driven Design of Reliable Solder Joints for Micro-electronic Devices
Leo Guo
Adwait Inamdar
Willem D. van Driel
GuoQi Zhang
208
0
0
25 Jul 2025
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
231
3
0
19 Jul 2025
Cost-aware Stopping for Bayesian Optimization
Qian Xie
Linda Cai
Alexander Terenin
P. Frazier
Ziv Scully
310
1
0
16 Jul 2025
Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization
Shion Takeno
Yu Inatsu
Masayuki Karasuyama
I. Takeuchi
383
3
0
13 Jul 2025
Thompson Sampling in Function Spaces via Neural Operators
Rafael Oliveira
Xuesong Wang
Kian Ming A. Chai
Edwin Bonilla
297
0
0
27 Jun 2025
Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU
Petar Jakuš
Hrvoje Džapo
431
12
0
10 Jun 2025
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
357
1
0
29 May 2025
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
Zhuo Yang
Lingli Ge
Lingli Ge
Haiwen Huang
Tao XU
Yuqiang Li
449
2
0
19 May 2025
Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning
International Conference on Learning Representations (ICLR), 2025
Yunyue Wei
Shanning Zhuang
Vincent Zhuang
Yanan Sui
322
9
0
13 May 2025
FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization
Hui Chen
Xuhui Fan
Zhangkai Wu
Longbing Cao
313
0
0
28 Apr 2025
Learning Explainable Dense Reward Shapes via Bayesian Optimization
Ryan Koo
Ian Yang
Vipul Raheja
Mingyi Hong
Kwang-Sung Jun
Dongyeop Kang
319
2
0
22 Apr 2025
Improving Bayesian Optimization for Portfolio Management with an Adaptive Scheduling
Zinuo You
John Cartlidge
Karen Elliott
Menghan Ge
Daniel Gold
349
0
0
18 Apr 2025
Towards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks
IFAC-PapersOnLine (IFAC-PapersOnLine), 2025
Georgios Makrygiorgos
Joshua Hang Sai Ip
Ali Mesbah
BDL
303
4
0
14 Apr 2025
High Dimensional Bayesian Optimization using Lasso Variable Selection
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Vu Viet Hoang
Hung The Tran
Sunil R. Gupta
Vu Nguyen
410
1
0
02 Apr 2025
Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems
Matthew Barker
Andrew Bell
Evan Thomas
James Carr
Thomas Andrews
Umang Bhatt
518
11
0
25 Feb 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
Taeyoung Yun
Kiyoung Om
Jaewoo Lee
Sujin Yun
Jinkyoo Park
527
6
0
24 Feb 2025
Pareto-frontier Entropy Search with Variational Lower Bound Maximization
Masanori Ishikura
Masayuki Karasuyama
542
2
0
31 Jan 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Weiyu Chen
Xiaoyuan Zhang
Xiaoyuan Zhang
Xi Lin
Han Zhao
Gang Qu
James T. Kwok
532
24
0
19 Jan 2025
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
Neural Information Processing Systems (NeurIPS), 2024
Qian Xie
Raul Astudillo
P. Frazier
Ziv Scully
Alexander Terenin
635
15
0
17 Jan 2025
Robust Gaussian Processes via Relevance Pursuit
Neural Information Processing Systems (NeurIPS), 2024
Sebastian Ament
Elizabeth Santorella
David Eriksson
Ben Letham
Maximilian Balandat
E. Bakshy
GP
396
9
0
08 Jan 2025
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
Neural Information Processing Systems (NeurIPS), 2024
Chaeyun Jang
Hyungi Lee
Jungtaek Kim
Juho Lee
MoMe
522
3
0
11 Nov 2024
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Diantong Li
Fengxue Zhang
Chong Liu
Yuxin Chen
1.1K
5
0
06 Nov 2024
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
International Conference on Learning Representations (ICLR), 2024
Taiwo A. Adebiyi
Bach Do
Ruda Zhang
607
6
0
29 Oct 2024
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yilin Xie
Shiqiang Zhang
J. Paulson
Calvin Tsay
GP
358
7
0
22 Oct 2024
Batched Energy-Entropy acquisition for Bayesian Optimization
Neural Information Processing Systems (NeurIPS), 2024
Felix Teufel
Carsten Stahlhut
J. Ferkinghoff-Borg
188
1
0
11 Oct 2024
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces
Aryan Deshwal
Sait Cakmak
Yuhou Xia
David Eriksson
227
0
0
09 Sep 2024
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting
International Conference on Quantum Computing and Engineering (QCE), 2024
Abdallah Aaraba
Soumaya Cherkaoui
Ola Ahmad
J. Laprade
Olivier Nahman-Lévesque
Alexis Vieloszynski
Shengrui Wang
BDL
AI4TS
346
5
0
21 Aug 2024
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