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Experimental Design

Papers

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Showing 301–350 of 688 papers

TitleStatusHype
Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design FrameworkCode1
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
New Paradigms for Exploiting Parallel Experiments in Bayesian OptimizationCode1
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
Active Learning for Optimal Intervention Design in Causal ModelsCode1
Optimal Sensor Placement in Body Surface Networks using Gaussian Processes—0
Physics-based Digital Twins for Autonomous Thermal Food Processing: Efficient, Non-intrusive Reduced-order Modeling—0
A New Method for the High-Precision Assessment of Tumor Changes in Response to Treatment—0
Information FOMO: The unhealthy fear of missing out on information. A method for removing misleading data for healthier models—0
Differential evolution variants for Searching D- and A-optimal designs—0
EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning AnalysisCode0
On Deep Learning in Password Guessing, a Survey—0
Applied Computer Vision on 2-Dimensional Lung X-Ray Images for Assisted Medical Diagnosis of Pneumonia—0
High dimensional stochastic linear contextual bandit with missing covariates—0
Stream-based active learning with linear models—0
Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experimentsCode1
Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation—0
Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image PriorCode0
Active Exploration via Experiment Design in Markov Chains—0
Design and control analysis of a deployable clustered hyperbolic paraboloid cable net—0
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods—0
Active Learning with Safety Constraints—0
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative LearningCode1
Modeling the Machine Learning Multiverse—0
A Two-Ball Ellsberg Paradox: An Experiment—0
On the Performance of the Neyman Allocation with Small Pilots—0
Inference for Matched Tuples and Fully Blocked Factorial Designs—0
The Measuring Hate Speech Corpus: Leveraging Rasch Measurement Theory for Data Perspectivism—0
Holistic Evaluation of Automatic TimeML Annotators—0
Targeted Adaptive Design—0
Characterizing the robustness of Bayesian adaptive experimental designs to active learning biasCode0
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces—0
The Effect of Task Ordering in Continual Learning—0
Marginal Post Processing of Bayesian Inference Products with Normalizing Flows and Kernel Density EstimatorsCode1
Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity Sets—0
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein EvolutionCode0
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract SettingCode0
Experimental Design for Causal Effect Identification—0
Heterogeneous Treatment Effects for Networks, Panels, and other Outcome MatricesCode0
VICE: Variational Interpretable Concept EmbeddingsCode1
Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa—0
Statistical applications of contrastive learning—0
Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnosticsCode0
Sources of Irreproducibility in Machine Learning: A Review—0
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