Co-occurring keywords · papers mentioning both
Papers
Batched Energy-Entropy acquisition for Bayesian Optimization
NeurIPS 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
AAAI 2024
Batch Bayesian Optimization For Replicable Experimental Design
NeurIPS 2023
Batch Bayesian optimisation via density-ratio estimation with guarantees
NeurIPS 2022
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
NeurIPS 2022
Bayesian Optimization under Stochastic Delayed Feedback
ICML 2022
Occupancy-SLAM: Simultaneously Optimizing Robot Poses and Continuous Occupancy Map
RSS 2022
Recruitment Strategies That Take a Chance
NeurIPS 2022
GIBBON: General-purpose Information-Based Bayesian Optimisation
JMLR 2021
Trusted-maximizers entropy search for efficient Bayesian optimization
UAI 2021
Distributionally Ambiguous Optimization for Batch Bayesian Optimization
JMLR 2020
Batch-Expansion Training: An Efficient Optimization Framework
AISTATS 2018
Exploiting Strategy-Space Diversity for Batch Bayesian Optimization
AISTATS 2018
Minimax Bounds on Stochastic Batched Convex Optimization
COLT 2018
Distributed Batch Gaussian Process Optimization
ICML 2017
Process-constrained batch Bayesian optimisation
NeurIPS 2017
Batch Bayesian Optimization via Local Penalization
AISTATS 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
NeurIPS 2016
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions
NeurIPS 2015
Parallelizing Exploration-Exploitation Tradeoffs in Gaussian Process Bandit Optimization
JMLR 2014
Large Scale Distributed Deep Networks
NeurIPS 2012
Batch Bayesian Optimization via Simulation Matching
NeurIPS 2010