Combinatorial Bayesian Optimization using the Graph Cartesian Product

1 February 2019

Papers citing "Combinatorial Bayesian Optimization using the Graph Cartesian Product"

23 / 23 papers shown

Title
A Generative Neural Annealer for Black-Box Combinatorial Optimization Yuan-Hang Zhang M. Di Ventra 29 0 0 14 May 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows Seunghun Lee Jinyoung Park Jaewon Chu Minseo Yoon H. Kim BDL 35 1 0 21 Apr 2025
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index Qian Xie Raul Astudillo P. Frazier Ziv Scully Alexander Terenin 87 2 0 17 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
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 63 0 0 24 Jun 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 50 1 0 24 May 2024
Simulation Based Bayesian Optimization Roi Naveiro Becky Tang 27 0 0 19 Jan 2024
Bayesian Optimisation of Functions on Graphs Xingchen Wan Pierre Osselin Henry Kenlay Binxin Ru Michael A. Osborne Xiaowen Dong 24 4 0 08 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
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology Muhammad Hassan Haifei Guan Aikaterini Melliou Yuqi Wang Qianhui Sun ... Qi Huang Jiefu Tan Qinwang Xing Peiwu Qin Dongmei Yu NAI 41 14 0 31 Jul 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 199 0 07 Jun 2022
Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming T. Kadowaki Mitsuru Ambai 25 7 0 22 Apr 2022
Sparse Bayesian Optimization Sulin Liu Qing Feng David Eriksson Benjamin Letham E. Bakshy 27 7 0 03 Mar 2022
Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig FedML 26 6 0 16 Feb 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision T. Elsken Arber Zela J. H. Metzen B. Staffler Thomas Brox Abhinav Valada Frank Hutter OOD 36 17 0 15 Feb 2022
Fourier Representations for Black-Box Optimization over Categorical Variables Hamid Dadkhahi Jesus Rios Karthikeyan Shanmugam Payel Das 35 11 0 08 Feb 2022
Adaptive machine learning for protein engineering B. Hie Kevin Kaichuang Yang 24 80 0 10 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
Combinatorial Black-Box Optimization with Expert Advice Hamid Dadkhahi Karthikeyan Shanmugam Jesus Rios Payel Das Samuel C. Hoffman T. Loeffler S. Sankaranarayanan 22 16 0 06 Jun 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 33 95 0 20 Feb 2020
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation Ryan-Rhys Griffiths Alexander A. Aldrick Miguel García-Ortegón Vidhi R. Lalchand A. Lee 31 35 0 17 Oct 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 21 51 0 02 Jul 2019