Papers

Applied, Methodology
Bayesian Optimization over Sets
Applied, Materials Science
Practical Complications in Applying Bayesian Optimization to Understand Tradeoffs between Substrate Fabrication Processes
Preference Optimization
Sampling Humans for Optimizing Preferences in Coloring Artwork
Materials Science
Using Bayesian Optimization to Improve Solar Panel Performance by Developing Antireflective, Superomniphobic Glass
Orchestrate: Infrastructure for Enabling Parallelism during Hyperparameter Optimization
Applied
Bayesian Optimization of High Transparency, Low Haze, and High Oil Contact Angle Rigid and Flexible Optoelectronic Substrates
A Nonstationary Designer Space-Time Kernel
All Model Types, Applied AI Insights
Integration of in vitro and in silico Models Using Bayesian Optimization With an Application to Stochastic Modeling of Mesenchymal 3D Cell Migration
Advanced Optimization Techniques, All Model Types
Sequential Preference-Based Optimization
Advanced Optimization Techniques, All Model Types
Practical Bayesian optimization in the presence of outliers
Advanced Optimization Techniques, All Model Types
Filtering Outliers in Bayesian Optimization
Advanced Optimization Techniques, All Model Types
Policy Search using Robust Bayesian Optimization
All Model Types, Modeling Best Practices
Active Preference Learning for Personalized Portfolio Construction
Advanced Optimization Techniques
Interactive Preference Learning of Utility Functions for Multi-Objective Optimization
Advanced Optimization Techniques, All Model Types
Preemptive Termination of Suggestions during Sequential Kriging Optimization of a Brain Activity Reconstruction Simulation
Machine Learning, Modeling Best Practices
Bayesian Optimization for Machine Learning : A Practical Guidebook
Advanced Optimization Techniques, All Model Types
A Strategy for Ranking Optimization Methods using Multiple Criteria
All Model Types, Modeling Best Practices
Evaluation System for a Bayesian Optimization Service
All Model Types, Modeling Best Practices
A Stratified Analysis of Bayesian Optimization Methods
Augmented ML Workflow, Deep Learning
Parallel Bayesian Global Optimization of Expensive Functions
All Model Types, Training & Tuning
Adaptive Sequential Experimentation Techniques for A/B Testing and Model Tuning