Sample-Efficient Optimization in the Latent Space of Deep Generative
Models via Weighted Retraining

Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

16 June 2020

Erik A. Daxberger

José Miguel Hernández-Lobato

Papers citing "Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining"

10 / 10 papers shown

Title
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 28 2 0 02 Oct 2024
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 22 0 0 10 Sep 2024
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization Deokjae Lee Hyun Oh Song Kyunghyun Cho OffRL 21 0 0 21 Jun 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 42 16 0 07 Feb 2024
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation Fengxue Zhang Jialin Song James Bowden Alexander Ladd Yisong Yue Thomas A. Desautels Yuxin Chen 12 6 0 25 Jul 2023
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge Florian Hase Matteo Aldeghi Riley J. Hickman L. Roch Alán Aspuru-Guzik 35 103 0 26 Mar 2020
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 21 64 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 181 878 0 07 Jun 2018
Conditional molecular design with deep generative models Seokho Kang Kyunghyun Cho BDL 138 182 0 30 Apr 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 208 1,205 0 12 Feb 2018