Bayesian Optimization of Combinatorial Structures

22 June 2018

Papers citing "Bayesian Optimization of Combinatorial Structures"

50 / 73 papers shown

Title
Quantum Computing and AI: Perspectives on Advanced Automation in Science and Engineering Tadashi Kadowaki AI4CE 28 0 0 15 May 2025
A Generative Neural Annealer for Black-Box Combinatorial Optimization Yuan-Hang Zhang M. Di Ventra 21 0 0 14 May 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models Mingyu Pu Songhao Wang Haowei Wang Szu Hui Ng 42 0 0 04 Mar 2025
Black-box optimization and quantum annealing for filtering out mislabeled training instances Makoto Otsuka Kento Kodama Keisuke Morita Masayuki Ohzeki 44 0 0 12 Jan 2025
Unexpected Improvements to Expected Improvement for Bayesian Optimization Sebastian Ament Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 54 69 0 08 Jan 2025
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal Pier Giuseppe Sessa Mojmír Mutný Andreas Krause 32 0 0 27 Sep 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 44 4 0 07 Jun 2024
Bayesian Optimization of Functions over Node Subsets in Graphs Huidong Liang Xingchen Wan Xiaowen Dong 47 1 0 24 May 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 32 17 0 03 Feb 2024
Simulation Based Bayesian Optimization Roi Naveiro Becky Tang 24 0 0 19 Jan 2024
Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning Han Zhou Xingchen Wan Ivan Vulić Anna Korhonen LLMAG 25 15 0 19 Oct 2023
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 32 12 0 02 Jul 2023
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization Kamil Dreczkowski Antoine Grosnit Haitham Bou-Ammar 24 7 0 16 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeon-Seob Kim Minsu Kim Sungsoo Ahn Jinkyoo Park OffRL 39 7 0 02 Jun 2023
Inverse Protein Folding Using Deep Bayesian Optimization Natalie Maus Yimeng Zeng Daniel A. Anderson Phillip M. Maffettone Aaron C. Solomon Peyton Greenside Osbert Bastani Jacob R. Gardner 25 2 0 25 May 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization Huaijun Jiang Yu Shen Yang Li Beicheng Xu Sixian Du Wentao Zhang Ce Zhang Bin Cui 35 4 0 26 Apr 2023
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 19 36 0 22 Apr 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings Aryan Deshwal Sebastian Ament Maximilian Balandat E. Bakshy J. Doppa David Eriksson 45 19 0 03 Mar 2023
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces Masaki Adachi Satoshi Hayakawa Saad Hamid Martin Jørgensen Harald Oberhauser M. A. Osborne 26 7 0 27 Jan 2023
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems Aaron Ferber Taoan Huang Daochen Zha M. Schubert Benoit Steiner B. Dilkina Yuandong Tian 39 20 0 22 Oct 2022
Optimization on Manifolds via Graph Gaussian Processes Hwanwoo Kim D. Sanz-Alonso Ruiyi Yang 37 2 0 20 Oct 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization Sam Daulton Xingchen Wan David Eriksson Maximilian Balandat Michael A. Osborne E. Bakshy 27 36 0 18 Oct 2022
Bayesian Optimization for Macro Placement Changyong Oh Roberto Bondesan D. Kianfar Rehan Ahmed Rishubh Khurana Payal Agarwal Romain Lepert M. Sriram Max Welling 11 5 0 18 Jul 2022
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces Alexander Thebelt Calvin Tsay Robert M. Lee Nathan Sudermann-Merx David Walz B. Shafei Ruth Misener UQCV BDL 35 10 0 02 Jul 2022
Black Box Optimization Using QUBO and the Cross Entropy Method Jonas Nusslein Christoph Roch Thomas Gabor Jonas Stein Claudia Linnhoff-Popien Sebastian Feld 16 9 0 24 Jun 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization Deokjae Lee Seungyong Moon Junhyeok Lee Hyun Oh Song AAML 20 38 0 17 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 199 0 07 Jun 2022
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens Stefano Teso Laurens Bliek Andrea Borghesi M. Lombardi Neil Yorke-Smith Tias Guns Andrea Passerini 13 2 0 20 May 2022
Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming T. Kadowaki Mitsuru Ambai 20 7 0 22 Apr 2022
Application of QUBO solver using black-box optimization to structural design for resonance avoidance Tadayoshi Matsumori M. Taki T. Kadowaki 9 30 0 11 Apr 2022
Fourier Representations for Black-Box Optimization over Categorical Variables Hamid Dadkhahi Jesus Rios Karthikeyan Shanmugam Payel Das 29 11 0 08 Feb 2022
Bayesian Optimization For Multi-Objective Mixed-Variable Problems Haris Moazam Sheikh P. Marcus 16 11 0 30 Jan 2022
AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation M. A. Khan Alexander I. Cowen-Rivers Antoine Grosnit Derrick-Goh-Xin Deik Philippe A. Robert ... Rasul Tutunov Dany Bou-Ammar Jun Wang Amos Storkey Haitham Bou-Ammar 45 22 0 29 Jan 2022
Retrieving Black-box Optimal Images from External Databases Ryoma Sato MLAU 12 7 0 30 Dec 2021
Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning Juan Cruz Barsce J. Palombarini Ernesto C. Martínez OffRL 25 1 0 15 Dec 2021
Bayesian Optimization over Permutation Spaces Aryan Deshwal Syrine Belakaria J. Doppa D. Kim 14 21 0 02 Dec 2021
Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions Prateek Yadav Peter Hase Joey Tianyi Zhou 9 11 0 01 Nov 2021
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces Aryan Deshwal J. Doppa BDL 32 42 0 01 Nov 2021
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks Shibo Li Robert M. Kirby Shandian Zhe 16 13 0 18 Jun 2021
Bayesian Optimization over Hybrid Spaces Aryan Deshwal Syrine Belakaria J. Doppa 18 33 0 08 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Joey Tianyi Zhou OODD LRM FAtt 18 91 0 01 Jun 2021
A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning A. Dushatskiy Tanja Alderliesten Peter A. N. Bosman 8 8 0 16 Apr 2021
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces David Eriksson M. Jankowiak 31 134 0 27 Feb 2021
NOMU: Neural Optimization-based Model Uncertainty Jakob Heiss Jakob Weissteiner Hanna Wutte Sven Seuken Josef Teichmann BDL 37 19 0 26 Feb 2021
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel Changyong Oh Roberto Bondesan E. Gavves Max Welling 13 5 0 26 Feb 2021
Mixed Variable Bayesian Optimization with Frequency Modulated Kernels Changyong Oh E. Gavves Max Welling 34 6 0 25 Feb 2021
Explaining Inference Queries with Bayesian Optimization Brandon Lockhart Jinglin Peng Weiyuan Wu Jiannan Wang Eugene Wu 16 7 0 10 Feb 2021
Mercer Features for Efficient Combinatorial Bayesian Optimization Aryan Deshwal Syrine Belakaria J. Doppa 13 32 0 14 Dec 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework Aryan Deshwal Syrine Belakaria J. Doppa Alan Fern 6 22 0 14 Dec 2020
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes Jungtaek Kim Seungjin Choi Minsu Cho 29 6 0 26 Nov 2020