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Experimental Design

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Showing 351–400 of 688 papers

TitleStatusHype
On Active Learning for Gaussian Process-based Global Sensitivity Analysis—0
Oncology and mechanics: landmark studies and promising clinical applications—0
On Deep Learning in Password Guessing, a Survey—0
On Fractional Moment Estimation from Polynomial Chaos Expansion—0
Online Experimental Design With Estimation-Regret Trade-off Under Network Interference—0
Online Graph Completion: Multivariate Signal Recovery in Computer Vision—0
Online Causal Inference for Advertising in Real-Time Bidding Auctions—0
On Nesting Monte Carlo Estimators—0
On The Difficulty of Warm-Starting Neural Network Training—0
On the Generalizability of Linear and Non-Linear Region of Interest-Based Multivariate Regression Models for fMRI Data—0
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods—0
On the importance of block randomisation when designing proteomics experiments—0
On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference—0
On the Perception of Difficulty: Differences between Humans and AI—0
On the Performance of the Neyman Allocation with Small Pilots—0
Optimal Bayesian experimental design for subsurface flow problems—0
Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs—0
Optimal Design of Experiment for Electrochemical Parameter Identification of Li-ion Battery via Deep Reinforcement Learning—0
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations—0
Optimal Experimental Design of Field Trials using Differential Evolution—0
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks—0
Optimal Experiment Design for AC Power Systems Admittance Estimation—0
Optimal experiment design for practical parameter identifiability and model discrimination—0
Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables—0
Optimal Sensor Placement in Body Surface Networks using Gaussian Processes—0
Optimizing Experiments for Accurate Battery Circuit Parameters Estimation: Reduction and Adjustment of Frequency Set Used in Electrochemical Impedance Spectroscopy—0
Optimizing the role of human evaluation in LLM-based spoken document summarization systems—0
Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples—0
Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer—0
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research—0
Physics-based Digital Twins for Autonomous Thermal Food Processing: Efficient, Non-intrusive Reduced-order Modeling—0
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging—0
Physics-Informed Polynomial Chaos Expansions—0
Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models—0
Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling—0
Policy design in experiments with unknown interference—0
Polynomial-Chaos-based Kriging—0
Polynomial Time Algorithms for Dual Volume Sampling—0
PopED lite: an optimal design software for preclinical pharmacokinetic and pharmacodynamic studies—0
POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality—0
Position: Leverage Foundational Models for Black-Box Optimization—0
Practical Path-based Bayesian Optimization—0
Predicting the impact of dataset composition on model performance—0
Preference Elicitation For General Random Utility Models—0
Principled Frameworks for Evaluating Ethics in NLP Systems—0
Prioritized Ranking Experimental Design Using Recommender Systems in Two-Sided Platforms—0
Privacy Aware Experiments without Cookies—0
Probabilistic Bayesian optimal experimental design using conditional normalizing flows—0
Probabilistic Factorial Experimental Design for Combinatorial Interventions—0
Probabilities-Informed Machine Learning—0
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