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Experimental Design

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Showing 426–450 of 688 papers

TitleStatusHype
Sampling from a k-DPP without looking at all items—0
Scalable Group Level Probabilistic Sparse Factor Analysis—0
Seesaw Experimentation: A/B Tests with Spillovers—0
Sensitivity Analysis for Computationally Expensive Models using Optimization and Objective-oriented Surrogate Approximations—0
Sequential Bayesian experimental designs via reinforcement learning—0
Sequential Bayesian Experimental Design with Variable Cost Structure—0
Sequential Computer Experimental Design for Estimating an Extreme Probability or Quantile—0
Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty—0
Sequential Experimental Design for Spectral Measurement: Active Learning Using a Parametric Model—0
Show me the Way: Intrinsic Motivation from Demonstrations—0
Simulation in discrete choice models evaluation: SDCM, a simulation tool for performance evaluation of DCMs—0
Simulation Methods for Stochastic Storage Problems: A Statistical Learning Perspective—0
Size of Interventional Markov Equivalence Classes in Random DAG Models—0
Smart Tracking Tray System for A Smart and Sustainable Wet Lab Community—0
Sources of Irreproducibility in Machine Learning: A Review—0
Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications—0
Sparse Regression for Discovery of Constitutive Models from Oscillatory Shear Measurements—0
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits—0
Statistical applications of contrastive learning—0
Statistical inverse learning problems with random observations—0
Statistical modeling of isoform splicing dynamics from RNA-seq time series data—0
Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference—0
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments—0
Stochastic Revealed Preferences with Measurement Error—0
Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization—0
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