BOCK : Bayesian Optimization with Cylindrical Kernels

5 June 2018

Papers citing "BOCK : Bayesian Optimization with Cylindrical Kernels"

32 / 32 papers shown

Title
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes Yunyue Wei Vincent Zhuang Saraswati Soedarmadji Yanan Sui 158 0 0 31 Dec 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 44 4 0 07 Jun 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 54 5 0 18 Apr 2024
Improving sample efficiency of high dimensional Bayesian optimization with MCMC Zeji Yi Yunyue Wei Chu Xin Cheng Kaibo He Yanan Sui 22 5 0 05 Jan 2024
OpenBox: A Python Toolkit for Generalized Black-box Optimization Huaijun Jiang Yu Shen Yang Li Beicheng Xu Sixian Du Wentao Zhang Ce Zhang Bin Cui 38 5 0 26 Apr 2023
A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments Arpan Biswas Yongtao Liu Nicole Creange Yu-Chen Liu S. Jesse Jan-Chi Yang Sergei V. Kalinin M. Ziatdinov Rama K Vasudevan 18 5 0 05 Apr 2023
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization Jiayu Zhao Renyu Yang Shenghao Qiu Zheng Wang 16 4 0 16 Feb 2023
A Bayesian Optimization approach for calibrating large-scale activity-based transport models S. Agriesti Vladimir Kuzmanovski Jaakko Hollmén C. Roncoli Bat-hen Nahmias-Biran 29 5 0 07 Feb 2023
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 24 3 0 04 Aug 2022
Optimization of the Shape of a Hydrokinetic Turbine's Draft Tube and Hub Assembly Using Design-by-Morphing with Bayesian Optimization Haris Moazam Sheikh Tess A. Callan Kealan J. Hennessy P. Marcus AI4CE 16 11 0 23 Jul 2022
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach Arpan Biswas Rama K Vasudevan M. Ziatdinov Sergei V. Kalinin BDL DRL 19 10 0 30 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 200 0 07 Jun 2022
A model aggregation approach for high-dimensional large-scale optimization Haowei Wang Ercong Zhang Szu Hui Ng Giulia Pedrielli 22 1 0 16 May 2022
A portfolio approach to massively parallel Bayesian optimization M. Binois Nicholson T. Collier J. Ozik 27 9 0 18 Oct 2021
Scaling Bayesian Optimization With Game Theory L. Mathesen G. Pedrielli R. L. Smith 19 1 0 07 Oct 2021
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 22 105 0 22 Sep 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 82 448 0 13 Jul 2021
Good practices for Bayesian Optimization of high dimensional structured spaces E. Siivola Javier I. González Andrei Paleyes Aki Vehtari 30 37 0 31 Dec 2020
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models E. Han Ishank Arora Jonathan Scarlett TPM AI4CE 30 17 0 24 Dec 2020
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation Alexander I. Cowen-Rivers Wenlong Lyu Rasul Tutunov Zhi Wang Antoine Grosnit ... A. Maraval Hao Jianye Jun Wang Jan Peters H. Ammar 27 74 0 07 Dec 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 40 126 0 01 Jul 2020
Bayesian Optimization with a Prior for the Optimum Artur L. F. Souza Luigi Nardi Leonardo B. Oliveira K. Olukotun Marius Lindauer Frank Hutter 21 8 0 25 Jun 2020
ENTMOOT: A Framework for Optimization over Ensemble Tree Models Alexander Thebelt Jan Kronqvist Miten Mistry Robert M. Lee Nathan Sudermann-Merx Ruth Misener 29 54 0 10 Mar 2020
Cloth in the Wind: A Case Study of Physical Measurement through Simulation Tom F. H. Runia Kirill Gavrilyuk Cees G. M. Snoek A. Smeulders 16 28 0 09 Mar 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 33 95 0 20 Feb 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
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 36 450 0 03 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 29 54 0 27 Sep 2019
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning Sebastian Farquhar Michael A. Osborne Y. Gal UQCV BDL 21 57 0 01 Jul 2019
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development Micah J. Smith Carles Sala Cladellas James Max Kanter K. Veeramachaneni 24 49 0 22 May 2019
Efficient Bayesian Experimental Design for Implicit Models Steven Kleinegesse Michael U. Gutmann 14 50 0 23 Oct 2018
Hyperparameter Learning via Distributional Transfer H. Law P. Zhao Lucian Chan Junzhou Huang Dino Sejdinovic 19 25 0 15 Oct 2018