Decentralized High-Dimensional Bayesian Optimization with Factor Graphs

Decentralized High-Dimensional Bayesian Optimization with Factor Graphs

19 November 2017

Papers citing "Decentralized High-Dimensional Bayesian Optimization with Factor Graphs"

10 / 10 papers shown

Title
Training-Free Neural Active Learning with Initialization-Robustness Guarantees Apivich Hemachandra Zhongxiang Dai Jasraj Singh See-Kiong Ng K. H. Low AAML 36 6 0 07 Jun 2023
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 199 0 07 Jun 2022
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization Shouri Hu Haowei Wang Zhongxiang Dai K. H. Low Szu Hui Ng 24 4 0 10 May 2022
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling Kai Wang Bryan Wilder S. Suen B. Dilkina Milind Tambe 78 0 0 07 Jul 2021
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models E. Han Ishank Arora Jonathan Scarlett TPM AI4CE 27 17 0 24 Dec 2020
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 22 14 0 27 Nov 2019
Implicit Posterior Variational Inference for Deep Gaussian Processes Haibin Yu Yizhou Chen Zhongxiang Dai K. H. Low Patrick Jaillet 19 42 0 26 Oct 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 21 51 0 02 Jul 2019
Towards Robust ResNet: A Small Step but A Giant Leap Jingfeng Zhang Bo Han L. Wynter K. H. Low Mohan S. Kankanhalli 21 41 0 28 Feb 2019
Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception Ruofei Ouyang K. H. Low FedML 31 26 0 16 Nov 2017