Bayesian Optimization of Function Networks

31 December 2021

Papers citing "Bayesian Optimization of Function Networks"

25 / 25 papers shown

Title
Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs Akshay Kudva Wei-Ting Tang J. Paulson 36 0 0 19 Feb 2025
Graph Agnostic Causal Bayesian Optimisation Sumantrak Mukherjee Mengyan Zhang Seth Flaxman Sebastian Vollmer CML 40 0 0 05 Nov 2024
No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes Minbiao Han Fengxue Zhang Yuxin Chen 32 3 0 14 May 2024
Causal Bayesian Optimization via Exogenous Distribution Learning Shaogang Ren Xiaoning Qian 16 1 0 03 Feb 2024
Bayesian optimization as a flexible and efficient design framework for sustainable process systems J. Paulson Calvin Tsay TPM 44 13 0 29 Jan 2024
A General Framework for User-Guided Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi GP 47 12 0 24 Nov 2023
Joint Composite Latent Space Bayesian Optimization Natalie Maus Zhiyuan Jerry Lin Maximilian Balandat E. Bakshy BDL 33 2 0 03 Nov 2023
Bayesian Optimization of Function Networks with Partial Evaluations Poompol Buathong Jiayue Wan Raul Astudillo Sam Daulton Maximilian Balandat P. Frazier 26 2 0 03 Nov 2023
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 32 2 0 15 Oct 2023
Adversarial Causal Bayesian Optimization Scott Sussex Pier Giuseppe Sessa A. Makarova Andreas Krause 16 3 0 31 Jul 2023
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach Masaki Adachi Satoshi Hayakawa Martin Jørgensen Xingchen Wan Vu Nguyen Harald Oberhauser Michael A. Osborne 28 5 0 09 Jun 2023
Bayesian Optimization of Expensive Nested Grey-Box Functions Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 25 1 0 08 Jun 2023
Model-based Causal Bayesian Optimization Scott Sussex A. Makarova Andreas Krause CML 14 23 0 18 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 74 4 0 11 Nov 2022
Regret Bounds for Noise-Free Cascaded Kernelized Bandits Zihan Li Jonathan Scarlett 34 1 0 10 Nov 2022
Validation of Composite Systems by Discrepancy Propagation David Reeb Kanil Patel Karim Barsim Martin Schiegg S. Gerwinn 29 2 0 21 Oct 2022
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design Ji Won Park Samuel Stanton Saeed Saremi Andrew Watkins Henri Dwyer Vladimir Gligorijević Richard Bonneau Stephen Ra Kyunghyun Cho 32 11 0 08 Oct 2022
Active Learning for Optimal Intervention Design in Causal Models Jiaqi Zhang Louis V. Cammarata C. Squires T. Sapsis Caroline Uhler CML 46 24 0 10 Sep 2022
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu W. Neiswanger Stefano Ermon 32 23 0 27 Jun 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates A. Maraval Matthieu Zimmer Antoine Grosnit Rasul Tutunov Jun Wang H. Ammar 30 2 0 27 May 2022
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes Zhiyuan Jerry Lin Raul Astudillo P. Frazier E. Bakshy 24 38 0 21 Mar 2022
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization Tesi Xiao Krishnakumar Balasubramanian Saeed Ghadimi 25 5 0 09 Feb 2022
Thinking inside the box: A tutorial on grey-box Bayesian optimization Raul Astudillo P. Frazier 20 35 0 02 Jan 2022
Bayesian Optimization for Cascade-type Multi-stage Processes Shunya Kusakawa Shion Takeno Yu Inatsu Kentaro Kutsukake S. Iwazaki Takashi Nakano T. Ujihara Masayuki Karasuyama Ichiro Takeuchi 25 18 0 16 Nov 2021
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017