Portfolio Allocation for Bayesian Optimization

28 September 2010

Matthew W. Hoffman

Papers citing "Portfolio Allocation for Bayesian Optimization"

50 / 109 papers shown

Title
Alpha Entropy Search for New Information-based Bayesian Optimization Daniel Fernández-Sánchez Eduardo C. Garrido-Merchán Daniel Hernández-Lobato 72 1 0 25 Nov 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization Alaleh Ahmadianshalchi Syrine Belakaria J. Doppa 48 2 0 13 Jun 2024
Leveraging Offline Data in Linear Latent Bandits Chinmaya Kausik Kevin Tan Ambuj Tewari OffRL 51 2 0 27 May 2024
Checkpoint Merging via Bayesian Optimization in LLM Pretraining Deyuan Liu Zecheng Wang Bingning Wang Weipeng Chen Chunshan Li Zhiying Tu Dianhui Chu Bo Li Dianbo Sui MoMe 52 15 0 28 Mar 2024
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis Hao Hao Xiaoqun Zhang Aimin Zhou 29 3 0 21 Mar 2024
Incentivized Exploration of Non-Stationary Stochastic Bandits Sourav Chakraborty Lijun Chen 18 0 0 16 Mar 2024
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints Yunsheng Tian Ane Zuniga Xinwei Zhang Johannes P. Dürholt Payel Das Jie Chen Wojciech Matusik Mina Konakovic-Lukovic 49 2 0 12 Feb 2024
Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation Model for Expensive Optimization Hao Hao Xiaoqun Zhang Aimin Zhou 22 16 0 21 Sep 2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 43 3 0 16 Jul 2023
On the Sublinear Regret of GP-UCB Justin Whitehouse Zhiwei Steven Wu Aaditya Ramdas 24 12 0 14 Jul 2023
Toward High-Performance Energy and Power Battery Cells with Machine Learning-based Optimization of Electrode Manufacturing M. Duquesnoy C. Liu Vishank Kumar E. Ayerbe A. Franco 26 2 0 07 Jul 2023
PCL-Indexability and Whittle Index for Restless Bandits with General Observation Models Keqin Liu Chengzhong Zhang Chengzhong Zhang 10 0 0 06 Jul 2023
Practical First-Order Bayesian Optimization Algorithms Utkarsh Prakash Aryan Chollera Kushagra Khatwani P. K. J. Tejas Bodas 30 1 0 19 Jun 2023
Provably Efficient Bayesian Optimization with Unknown Gaussian Process Hyperparameter Estimation Huong Ha Vu-Linh Nguyen Hung Tran-The Hongyu Zhang Xiuzhen Zhang Anton Van Den Hengel 30 1 0 12 Jun 2023
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization C. Benjamins Elena Raponi Anja Jankovic Carola Doerr Marius Lindauer TPM 30 3 0 07 Jun 2023
Mastering the exploration-exploitation trade-off in Bayesian Optimization Antonio Candelieri 34 1 0 15 May 2023
On Private and Robust Bandits Yulian Wu Xingyu Zhou Youming Tao Di Wang 24 5 0 06 Feb 2023
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis C. Benjamins Anja Jankovic Elena Raponi K. Blom Marius Lindauer Carola Doerr 33 5 0 17 Nov 2022
PI is back! Switching Acquisition Functions in Bayesian Optimization C. Benjamins Elena Raponi Anja Jankovic K. Blom Maria Laura Santoni Marius Lindauer Carola Doerr 38 5 0 02 Nov 2022
Robust Bayesian optimization with reinforcement learned acquisition functions Zijing Liu Xiyao Qu Xuejun Liu Hongqiang Lyu 14 2 0 02 Oct 2022
An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret Matthew D. Jones Huy Le Nguyen Thy Nguyen FaML 27 7 0 23 Sep 2022
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters Pierrick Pochelu S. Petiton B. Conche AI4CE 35 2 0 30 Aug 2022
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 21 11 0 23 Jul 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
Collaborative Learning in Kernel-based Bandits for Distributed Users Sudeep Salgia Sattar Vakili Qing Zhao FedML 39 6 0 16 Jul 2022
Dynamic Multi-objective Ensemble of Acquisition Functions in Batch Bayesian Optimization Jixiang Chen Fu Luo Zhenkun Wang 16 2 0 22 Jun 2022
Weighted Ensembles for Active Learning with Adaptivity Konstantinos D. Polyzos Qin Lu G. Giannakis 27 8 0 10 Jun 2022
The Survival Bandit Problem Charles Riou Junya Honda Masashi Sugiyama 9 3 0 07 Jun 2022
Robust Pareto Set Identification with Contaminated Bandit Feedback Kerem Bozgan Cem Tekin 6 0 0 06 Jun 2022
Surrogate modeling for Bayesian optimization beyond a single Gaussian process Qin Lu Konstantinos D. Polyzos Bingcong Li G. Giannakis GP 30 18 0 27 May 2022
LOCAT: Low-Overhead Online Configuration Auto-Tuning of Spark SQL Applications Jinhan Xin K. Hwang Zhibin Yu 16 19 0 28 Mar 2022
Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters Dongjun Kim Tae-Sub Yun Il-Chul Moon J. Bae AI4CE 9 2 0 07 Mar 2022
Bayesian Optimization For Multi-Objective Mixed-Variable Problems Haris Moazam Sheikh P. Marcus 29 11 0 30 Jan 2022
Bayesian Optimization for auto-tuning GPU kernels Floris-Jan Willemsen Rob van Nieuwpoort Ben van Werkhoven 30 20 0 26 Nov 2021
A portfolio approach to massively parallel Bayesian optimization M. Binois Nicholson T. Collier J. Ozik 27 9 0 18 Oct 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 332 0 20 Sep 2021
LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces Shuhan Zhang Fan Yang Changhao Yan Dian Zhou Xuan Zeng 28 6 0 01 Sep 2021
Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili N. Bouziani Sepehr Jalali A. Bernacchia Da-Shan Shiu 36 51 0 20 Aug 2021
Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers Anh Tran 27 0 0 12 Aug 2021
An Analysis of Reinforcement Learning for Malaria Control Ndivhuwo Makondo Arinze Lawrence Folarin Simphiwe Nhlahla Zitha S. Remy OffRL 24 2 0 19 Jul 2021
High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids Liang Ding Rui Tuo Xiaowei Zhang 19 3 0 19 Jul 2021
An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble Shuhan Zhang Fan Yang Changhao Yan Dian Zhou Xuan Zeng 25 65 0 28 Jun 2021
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks Ming-Chang Lee Jia-Chun Lin Ernst Gunnar Gran AI4TS 21 0 0 19 May 2021
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 Ryan Turner David Eriksson M. McCourt J. Kiili Eero Laaksonen Zhen Xu Isabelle M Guyon BDL 30 289 0 20 Apr 2021
Hyperparameter Transfer Learning with Adaptive Complexity Samuel Horváth Aaron Klein Peter Richtárik Cédric Archambeau 13 17 0 25 Feb 2021
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics A. Racca Luca Magri OOD AAML 21 61 0 09 Feb 2021
Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health M. Menictas Sabina Tomkins S. Murphy 27 2 0 21 Dec 2020
Bayesian Optimization -- Multi-Armed Bandit Problem A. Nandy C. Kumar Deepak Mewada Soumya Sharma 11 1 0 14 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