optimal experimental design

Behavior Synthesis via Contact-Aware Fisher Information Maximization RSS 2025 POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality CVPR 2025 Bayesian Active Learning in the Presence of Nuisance Parameters UAI 2024 Bayesian Adaptive Calibration and Optimal Design NeurIPS 2024 Fast Screening Rules for Optimal Design via Quadratic Lasso Reformulation JMLR 2023 FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems ICML 2023 Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces NeurIPS 2022 Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ICML 2021 High-dimensional Experimental Design and Kernel Bandits ICML 2021 Model Performance Scaling with Multiple Data Sources ICML 2021 Online A-Optimal Design and Active Linear Regression ICML 2021 Robust Pure Exploration in Linear Bandits with Limited Budget ICML 2021 Gamification of Pure Exploration for Linear Bandits ICML 2020 ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery AISTATS 2019 Optimal Testing in the Experiment-rich Regime AISTATS 2019 Variational Bayesian Optimal Experimental Design NeurIPS 2019 Elementary Symmetric Polynomials for Optimal Experimental Design NeurIPS 2017 Adaptive optimal training of animal behavior NeurIPS 2016 Experimental Design on a Budget for Sparse Linear Models and Applications ICML 2016 Best-Arm Identification in Linear Bandits NeurIPS 2014 Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NeurIPS 2013 Active learning of neural response functions with Gaussian processes NeurIPS 2011 Bayesian Inference and Optimal Design for the Sparse Linear Model JMLR 2008 Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds NeurIPS 2008