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Experimental Design

Papers

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Showing 301–350 of 688 papers

TitleStatusHype
The transformative potential of machine learning for experiments in fluid mechanics—0
Synthetic Combinations: A Causal Inference Framework for Combinatorial InterventionsCode0
Automatic evaluation of herding behavior in towed fishing gear using end-to-end training of CNN and attention-based networks—0
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review—0
A primer on correlation-based dimension reduction methods for multi-omics analysisCode0
BO-Muse: A human expert and AI teaming framework for accelerated experimental design—0
Online simulator-based experimental design for cognitive model selectionCode0
Constrained Bayesian Optimization for Automatic Underwater Vehicle Hull DesignCode0
Modern Bayesian Experimental Design—0
Multicell experiments for marginal treatment effect estimation of digital ads—0
Comparison and Analysis of Cognitive Load under 2D/3D Visual Stimuli—0
Experimenting under Stochastic Congestion—0
Differentiable Multi-Target Causal Bayesian Experimental DesignCode0
Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms—0
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures—0
GFlowNets for AI-Driven Scientific Discovery—0
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits—0
Inference for Two-stage Experiments under Covariate-Adaptive Randomization—0
Lying Aversion and Vague Communication: An Experimental Study—0
Methodological reflections for AI alignment research using human feedback—0
Demonstration of machine-learning-enhanced Bayesian quantum state estimation—0
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria—0
Trust and Time Preference: Measuring a Causal Effect in a Random-Assignment Experiment—0
Bayesian Experimental Design for Symbolic Discovery—0
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments—0
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls—0
The Informational Role of Online Recommendations: Evidence from a Field Experiment—0
Trust Your : Gradient-based Intervention Targeting for Causal Discovery—0
Oncology and mechanics: landmark studies and promising clinical applications—0
Application of Graph Neural Networks and graph descriptors for graph classification—0
Measuring Progress on Scalable Oversight for Large Language Models—0
Privacy Aware Experiments without Cookies—0
How to sample and when to stop sampling: The generalized Wald problem and minimax policies—0
Regret Bounds and Experimental Design for Estimate-then-Optimize—0
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear BanditsCode0
Adaptive Experimental Design and Counterfactual Inference—0
Experimental design for causal query estimation in partially observed biomolecular networksCode0
Validation of Composite Systems by Discrepancy Propagation—0
Taxonomy of A Decision Support System for Adaptive Experimental Design in Field Robotics—0
Experimental Design for Multi-Channel Imaging via Task-Driven Feature SelectionCode0
Design Amortization for Bayesian Optimal Experimental Design—0
Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers—0
Linear estimation of global average treatment effects—0
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter—0
An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper—0
Designing experimental conditions to use the Lotka-Volterra model to infer tumor cell line interaction types—0
Optimal Sensor Placement in Body Surface Networks using Gaussian Processes—0
A New Method for the High-Precision Assessment of Tumor Changes in Response to Treatment—0
Physics-based Digital Twins for Autonomous Thermal Food Processing: Efficient, Non-intrusive Reduced-order Modeling—0
Information FOMO: The unhealthy fear of missing out on information. A method for removing misleading data for healthier models—0
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