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"

17 / 17 papers shown

Title
Latent Bayesian Optimization via Autoregressive Normalizing Flows Seunghun Lee Jinyoung Park Jaewon Chu Minseo Yoon H. Kim BDL 32 1 0 21 Apr 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
Active learning for affinity prediction of antibodies Alexandra Gessner Sebastian W. Ober Owen Vickery Dino Oglic Talip Uçar AI4CE 26 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 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
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
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 26 4 0 04 May 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 45 47 0 24 Feb 2023
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 26 3 0 10 Sep 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 22 7 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 36 89 0 23 Mar 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 51 69 0 28 Jan 2022
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 76 17 0 23 Apr 2021
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 39 65 0 08 Oct 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 203 885 0 07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 224 1,340 0 12 Feb 2018