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Showing 376–400 of 688 papers

TitleStatusHype
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
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