Bayesian Optimization with High-Dimensional Outputs

24 June 2021

Papers citing "Bayesian Optimization with High-Dimensional Outputs"

26 / 26 papers shown

Title
Multi-Fidelity Bayesian Optimization for Nash Equilibria with Black-Box Utilities Yunchuan Zhang Osvaldo Simeone H. Vincent Poor 7 0 0 16 May 2025
Knowledge-aware Evolutionary Graph Neural Architecture Search Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Xu Liu S. M. I. Simon X. Yang 80 2 0 26 Nov 2024
Respecting the limit:Bayesian optimization with a bound on the optimal value Hanyang Wang Juergen Branke Matthias Poloczek 35 0 0 07 Nov 2024
Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure Jihao Andreas Lin Sebastian Ament Maximilian Balandat E. Bakshy BDL 29 2 0 11 Oct 2024
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner Haoyuan Chen Rui Tuo 27 0 0 01 Aug 2024
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features Oliver R. A. Dunbar Nicholas H. Nelsen Maya Mutic 25 5 0 30 Jun 2024
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks Leonardo Ferreira Guilhoto P. Perdikaris BDL 33 1 0 03 Apr 2024
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search Yunchuan Zhang Sangwoo Park Osvaldo Simeone 42 4 0 14 Mar 2024
High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring Hauke Maathuis R. Breuker Saullo G. P. Castro AI4CE 27 1 0 14 Dec 2023
Joint Composite Latent Space Bayesian Optimization Natalie Maus Zhiyuan Jerry Lin Maximilian Balandat E. Bakshy BDL 33 2 0 03 Nov 2023
Exact and general decoupled solutions of the LMC Multitask Gaussian Process model Olivier Truffinet Karim Ammar J. Argaud B. Bouriquet 20 0 0 18 Oct 2023
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design Srivatsan Krishnan Amir Yazdanbaksh Shvetank Prakash Jason J. Jabbour Ikechukwu Uchendu ... Behzad Boroujerdian Daniel Richins Devashree Tripathy Aleksandra Faust Vijay Janapa Reddi 43 11 0 15 Jun 2023
A Study of Bayesian Neural Network Surrogates for Bayesian Optimization Y. Li Tim G. J. Rudner A. Wilson BDL 24 28 0 31 May 2023
No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function Approximations Congwen Lu J. Paulson 15 7 0 05 May 2023
Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing Kunal Jain J. PrabuchandranK. Tejas Bodas 14 2 0 21 Mar 2023
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks Mohamed Aziz Bhouri M. Joly Robert Yu S. Sarkar P. Perdikaris BDL UQCV AI4CE 13 1 0 14 Feb 2023
Multi-Objective GFlowNets Moksh Jain Sharath Chandra Raparthy Alex Hernandez-Garcia Jarrid Rector-Brooks Yoshua Bengio Santiago Miret Emmanuel Bengio 22 87 0 23 Oct 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization Sam Daulton Xingchen Wan David Eriksson Maximilian Balandat Michael A. Osborne E. Bakshy 22 36 0 18 Oct 2022
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes Gregory W. Benton Wesley J. Maddox A. Wilson AI4TS 4 3 0 13 Jul 2022
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu W. Neiswanger Stefano Ermon 18 22 0 27 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 198 0 07 Jun 2022
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking Iñigo Urteaga Moulay Draidia Tomer Lancewicki Shahram Khadivi AI4CE 16 1 0 24 Mar 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 31 89 0 23 Mar 2022
Thinking inside the box: A tutorial on grey-box Bayesian optimization Raul Astudillo P. Frazier 15 35 0 02 Jan 2022
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization Wesley J. Maddox Qing Feng Maximilian Balandat 19 7 0 29 Nov 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 63 17 0 23 Apr 2021