The reparameterization trick for acquisition functions

1 December 2017

Papers citing "The reparameterization trick for acquisition functions"

22 / 22 papers shown

Title
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Natalie Maus Kyurae Kim Yimeng Zeng Haydn Thomas Jones Fangping Wan Marcelo Der Torossian Torres Cesar de la Fuente-Nunez Jacob R. Gardner 95 0 0 31 Jan 2025
Robust Guided Diffusion for Offline Black-Box Optimization Can Chen Christopher Beckham Xue Liu Xue Liu OffRL 48 5 0 03 Jan 2025
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 38 0 0 10 Sep 2024
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems Jack M. Buckingham Ivo Couckuyt Juergen Branke 46 0 0 30 Aug 2024
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation Lu Li Tianze Zhang Zhiqi Bu Suyuchen Wang Huan He Jie Fu Yonghui Wu Jiang Bian Yong Chen Yoshua Bengio FedML MoMe 100 3 0 11 Jun 2024
Cross-Validated Off-Policy Evaluation Matej Cief B. Kveton Michal Kompan OffRL 28 1 0 24 May 2024
Design Editing for Offline Model-based Optimization Ye Yuan Youyuan Zhang Can Chen Haolun Wu Zixuan Li Jianmo Li James J. Clark Xue Liu 42 4 0 22 May 2024
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach Yixuan Sun O. Sowunmi Romain Egele S. Narayanan Luke Van Roekel Prasanna Balaprakash 35 1 0 07 Apr 2024
Single and Multi-Objective Optimization Benchmark Problems Focusing on Human-Powered Aircraft Design Nobuo Namura 30 1 0 14 Dec 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML M. Deutel G. Kontes Christopher Mutschler Jürgen Teich 57 0 0 23 May 2023
The Impact of Expertise in the Loop for Exploring Machine Rationality Changkun Ou Sven Mayer A. Butz 33 5 0 11 Feb 2023
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 44 54 0 16 Oct 2022
Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics Mike Diessner Joseph O’Connor A. Wynn S. Laizet Yu Guan Kevin J. Wilson Richard D. Whalley 36 18 0 19 Jul 2022
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution Lixue Cheng Ziyi Yang Chang-Yu Hsieh Ben Liao Shengyu Zhang 30 6 0 19 May 2022
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes Felix Jimenez Matthias Katzfuss 21 10 0 02 Mar 2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization Brandon Trabucco Xinyang Geng Aviral Kumar Sergey Levine OffRL 37 95 0 17 Feb 2022
Conservative Objective Models for Effective Offline Model-Based Optimization Brandon Trabucco Aviral Kumar Xinyang Geng Sergey Levine OffRL 47 86 0 14 Jul 2021
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control Sudharshan Ashwin Renganathan Jeffrey Larson Stefan M. Wild 23 7 0 20 May 2021
MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks Jaehun Ryu Hyojin Sung 57 16 0 08 Feb 2021
Latent Map Gaussian Processes for Mixed Variable Metamodeling Nicholas Oune Ramin Bostanabad 21 32 0 07 Feb 2021
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 16 237 0 09 Jun 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019