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Experimental Design

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TitleStatusHype
Memory-efficient Learning for Large-scale Computational Imaging—0
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling—0
Bayesian Experimental Design for Implicit Models by Mutual Information Neural EstimationCode0
A Newton Frank-Wolfe Method for Constrained Self-Concordant MinimizationCode0
Estimating the number and effect sizes of non-null hypothesesCode0
Efficient Adaptive Experimental Design for Average Treatment Effect Estimation—0
ALPINE: Active Link Prediction using Network Embedding—0
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation—0
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness—0
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop—0
Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning—0
Sample Efficient Active Learning of Causal Trees—0
Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions—0
Investigating Active Learning and Meta-Learning for Iterative Peptide Design—0
Empirical Study of Off-Policy Policy Evaluation for Reinforcement LearningCode0
Bayesian nonparametric discontinuity designCode0
Incentive Compatible Active Learning—0
Adaptivity in Adaptive Submodularity—0
Optimal Experimental Design for Staggered RolloutsCode0
Confidence Intervals for Policy Evaluation in Adaptive ExperimentsCode0
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal ExperimentsCode0
A QMC-deep learning method for diffusivity estimation in random domains—0
Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty—0
Leveraging Legacy Data to Accelerate Materials Design via Preference LearningCode0
Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity—0
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