Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces

1 November 2021

Papers citing "Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces"

29 / 29 papers shown

Title
Latent Bayesian Optimization via Autoregressive Normalizing Flows Seunghun Lee Jinyoung Park Jaewon Chu Minseo Yoon H. Kim BDL 90 2 0 21 Apr 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models Mingyu Pu Songhao Wang Haowei Wang Szu Hui Ng 80 0 0 04 Mar 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems Yunyue Wei Zeji Yi Hongda Li Saraswati Soedarmadji Yanan Sui 97 0 0 31 Dec 2024
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal Pier Giuseppe Sessa Mojmír Mutný Andreas Krause 115 1 0 27 Sep 2024
Active learning for affinity prediction of antibodies Alexandra Gessner Sebastian W. Ober Owen Vickery Dino Oglic Talip Uçar AI4CE 54 4 0 11 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 68 5 0 07 Jun 2024
Bayesian Optimization of Functions over Node Subsets in Graphs Huidong Liang Xingchen Wan Xiaowen Dong 114 1 0 24 May 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search Yassine Chemingui Aryan Deshwal Trong Nghia Hoang J. Doppa OffRL 110 14 0 08 May 2024
Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces Farshud Sorourifar Thomas Banker J. Paulson 61 2 0 02 Jan 2024
Advancing Bayesian Optimization via Learning Correlated Latent Space Seunghun Lee Jaewon Chu S. Kim Juyeon Ko Hyunwoo J. Kim BDL 134 8 0 31 Oct 2023
Multi-Fidelity Active Learning with GFlowNets Alex Hernandez-Garcia Nikita Saxena Moksh Jain Cheng-Hao Liu Yoshua Bengio AI4CE 86 15 0 20 Jun 2023
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models Lichang Chen Jiuhai Chen Tom Goldstein Heng-Chiao Huang Dinesh Manocha 88 45 0 05 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 95 3 0 25 May 2023
The Behavior and Convergence of Local Bayesian Optimization Kaiwen Wu Kyurae Kim Roman Garnett Jacob R. Gardner 118 10 0 24 May 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 104 4 0 04 May 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings Aryan Deshwal Sebastian Ament Maximilian Balandat E. Bakshy J. Doppa David Eriksson 143 23 0 03 Mar 2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version David Campos Miao Zhang B. Yang Tung Kieu Chenjuan Guo Christian S. Jensen AI4TS 102 56 0 24 Feb 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets Yiheng Zhu Jialun Wu Chaowen Hu Jiahuan Yan Chang-Yu Hsieh Tingjun Hou Jian Wu 102 36 0 08 Feb 2023
GAUCHE: A Library for Gaussian Processes in Chemistry 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 87 43 0 06 Dec 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization Sam Daulton Xingchen Wan David Eriksson Maximilian Balandat Michael A. Osborne E. Bakshy 96 39 0 18 Oct 2022
Structured Q-learning For Antibody Design Alexander I. Cowen-Rivers P. Gorinski Aivar Sootla Asif R. Khan Liu Furui Jun Wang Jan Peters H. Ammar OffRL OnRL 89 3 0 10 Sep 2022
Bayesian Optimization for Macro Placement Changyong Oh Roberto Bondesan D. Kianfar Rehan Ahmed Rishubh Khurana Payal Agarwal Romain Lepert M. Sriram Max Welling 39 6 0 18 Jul 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 86 233 0 07 Jun 2022
Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming T. Kadowaki Mitsuru Ambai 50 10 0 22 Apr 2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders Samuel Stanton Wesley J. Maddox Nate Gruver Phillip M. Maffettone E. Delaney Peyton Greenside A. Wilson BDL 77 98 0 23 Mar 2022
Bayesian Optimization For Multi-Objective Mixed-Variable Problems Haris Moazam Sheikh P. Marcus 73 12 0 30 Jan 2022
Local Latent Space Bayesian Optimization over Structured Inputs Natalie Maus Haydn Thomas Jones Juston Moore Matt J. Kusner John Bradshaw Jacob R. Gardner BDL 118 72 0 28 Jan 2022
Bayesian Optimization over Permutation Spaces Aryan Deshwal Syrine Belakaria J. Doppa D. Kim 125 21 0 02 Dec 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim Peter Y. Lu Charlotte Loh Jamie Smith Jasper Snoek M. Soljavcić BDL AI4CE 385 17 0 23 Apr 2021