- Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity Sets
2022/05/20 by Jinwoo Go, Go, Jinwoo, Tobin Isaac +1 · 5 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Algorithm #Ambiguity #Applied mathematics #Artificial Intelligence (cs.AI) #Artificial intelligence #Bayesian probability #Computation (stat.CO) #Computer science #Divergence (linguistics) #Estimator #FOS: Computer and information sciences #Information gain #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical optimization #Mathematics #Maximization #Methodology (stat.ME) #Monte Carlo method #Optimal Experimental Design Methods #Ranking (information retrieval) #Set (abstract data type) #Statistical Methods and Inference #Statistics #cs.AI #cs.LG #stat.CO #stat.ME #stat.ML