Showing 1–18 of 18 results
/ Date/ Name
Feb 2, 2023A Semi-Parametric Model for Decision Making in High-Dimensional Sensory Discrimination TasksJun 9, 2023Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and PreferencesMar 28, 2023Perceptual Requirements for World-Locked Rendering in AR and VRMar 18, 2022Look-Ahead Acquisition Functions for Bernoulli Level Set EstimationJun 21, 2017Constrained Bayesian Optimization with Noisy ExperimentsJul 13, 2024Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian ProcessesMar 6, 2025Mixed Likelihood Variational Gaussian ProcessesOct 20, 2025LILO: Bayesian Optimization with Natural Language FeedbackJan 31, 2020Re-Examining Linear Embeddings for High-Dimensional Bayesian OptimizationOct 14, 2019BoTorch: A Framework for Efficient Monte-Carlo Bayesian OptimizationFeb 14, 2015Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with StockoutsNov 11, 2015Prediction uncertainty and optimal experimental design for learning dynamical systemsMar 3, 2022Sparse Bayesian OptimizationApr 1, 2019Bayesian Optimization for Policy Search via Online-Offline ExperimentationApr 19, 2021Adaptive Nonparametric PsychophysicsFeb 6, 2018Practical Transfer Learning for Bayesian OptimizationNov 5, 2015Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction modelJun 23, 2025Experimenting, Fast and Slow: Bayesian Optimization of Long-term Outcomes with Online Experiments