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2303.01774
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Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
3 March 2023
Aryan Deshwal
Sebastian Ament
Maximilian Balandat
E. Bakshy
J. Doppa
David Eriksson
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Papers citing
"Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings"
18 / 18 papers shown
Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization
Colin Doumont
Victor Picheny
Viacheslav Borovitskiy
Henry B. Moss
149
1
0
30 Oct 2025
A reproducible comparative study of categorical kernels for Gaussian process regression, with new clustering-based nested kernels
Raphael Carpintero Perez
Sébastien da Veiga
Josselin Garnier
138
0
0
02 Oct 2025
Fine-tuning LLMs with variational Bayesian last layer for high-dimensional Bayesian optimization
Haotian Xiang
Jinwen Xu
Qin Lu
281
1
0
01 Oct 2025
MOCA-HESP: Meta High-dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-ellipsoid Partitioning
Lam Ngo
Huong Ha
Jeffrey Chan
Hongyu Zhang
152
0
0
09 Aug 2025
Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU
Petar Jakuš
Hrvoje Džapo
418
11
0
10 Jun 2025
Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization
Leonard Papenmeier
Luigi Nardi
314
1
0
27 May 2025
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
Toby Boyne
Jose Pablo Folch
Robert M. Lee
B. Shafei
Ruth Misener
GP
418
3
0
07 Mar 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Mingyu Pu
Songhao Wang
Haowei Wang
Szu Hui Ng
263
0
0
04 Mar 2025
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Neural Information Processing Systems (NeurIPS), 2023
Sebastian Ament
Sam Daulton
David Eriksson
Maximilian Balandat
E. Bakshy
476
177
0
08 Jan 2025
Language Model Embeddings Can Be Sufficient for Bayesian Optimization
Tung Nguyen
Qiuyi Zhang
Bangding Yang
Chansoo Lee
J. Bornschein
Yingjie Miao
Sagi Perel
Yutian Chen
Xingyou Song
BDL
399
11
0
14 Oct 2024
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
International Conference on Learning Representations (ICLR), 2024
Melis Ilayda Bal
Pier Giuseppe Sessa
Mojmír Mutný
Andreas Krause
438
2
0
27 Sep 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
Jacob O. Tørring
Carl Hvarfner
Luigi Nardi
Magnus Sjalander
404
2
0
24 Jun 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
Neural Information Processing Systems (NeurIPS), 2024
Miguel González Duque
Richard Michael
Simon Bartels
Yevgen Zainchkovskyy
Søren Hauberg
Wouter Boomsma
246
23
0
07 Jun 2024
Simulation Based Bayesian Optimization
Roi Naveiro
Becky Tang
336
1
0
19 Jan 2024
A Bayesian approach for prompt optimization in pre-trained language models
Antonio Sabbatella
Andrea Ponti
Antonio Candelieri
I. Giordani
Francesco Archetti
298
4
0
01 Dec 2023
Grey-box Bayesian Optimization for Sensor Placement in Assisted Living Environments
AAAI Conference on Artificial Intelligence (AAAI), 2023
Shadan Golestan
Omid Ardakanian
Pierre Boulanger
232
1
0
11 Sep 2023
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
Neural Information Processing Systems (NeurIPS), 2023
Leonard Papenmeier
Luigi Nardi
Matthias Poloczek
638
27
0
02 Jul 2023
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization
Neural Information Processing Systems (NeurIPS), 2023
Kamil Dreczkowski
Antoine Grosnit
Haitham Bou-Ammar
321
20
0
16 Jun 2023
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