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Experimental Design

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Showing 401–450 of 688 papers

TitleStatusHype
Probabilistic Factorial Experimental Design for Combinatorial Interventions—0
Probabilities-Informed Machine Learning—0
Psittacines of Innovation? Assessing the True Novelty of AI Creations—0
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management—0
Randomized Experimental Design for Causal Graph Discovery—0
Ranking and Selection with Covariates for Personalized Decision Making—0
Rankings-Dependent Preferences: A Real Goods Matching Experiment—0
Linear estimation of global average treatment effects—0
Real-Time Optimal Design of Experiment for Parameter Identification of Li-Ion Cell Electrochemical Model—0
Real-Time Variational Method for Learning Neural Trajectory and its Dynamics—0
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review—0
Recovery of Sparse Signals from a Mixture of Linear Samples—0
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design—0
Refined bounds for randomized experimental design—0
Regret Bounds and Experimental Design for Estimate-then-Optimize—0
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design—0
Replicate immunosequencing as a robust probe of B cell repertoire diversity—0
Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions—0
Resource Allocation under the Latin Square Constraint—0
Resurrecting Socrates in the Age of AI: A Study Protocol for Evaluating a Socratic Tutor to Support Research Question Development in Higher Education—0
Robust A-Optimal Experimental Design for Bayesian Inverse Problems—0
Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity Sets—0
Robust Optimization of Unconstrained Binary Quadratic Problems—0
Safe model-based design of experiments using Gaussian processes—0
Sample Efficient Active Learning of Causal Trees—0
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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