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Experimental Design

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Showing 151–175 of 688 papers

TitleStatusHype
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria—0
Neurodivergent Influenceability as a Contingent Solution to the AI Alignment Problem—0
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models—0
Adaptive Experimental Design for Policy Learning—0
Beyond Regrets: Geometric Metrics for Bayesian Optimization—0
Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals—0
An information-matching approach to optimal experimental design and active learning—0
Beta regression mixed model applied to sensory analysis—0
Active Exploration via Experiment Design in Markov Chains—0
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice—0
An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper—0
Best-Arm Identification in Linear Bandits—0
An introduction to linear stability analysis for deciphering spatial patterns in signaling networks—0
Branching out into Structural Identifiability Analysis with Maple: Interactive Exploration of Uncontrolled Linear Time-Invariant Structures—0
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes—0
Behind the Noise: Conformal Quantile Regression Reveals Emergent Representations—0
BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO_2 sequestration—0
An Experimental Design Perspective on Exploration in Reinforcement Learning—0
Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4—0
Can LLMs Understand Social Norms in Autonomous Driving Games?—0
A hypothesis-driven method based on machine learning for neuroimaging data analysis—0
Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis—0
Application of Graph Neural Networks and graph descriptors for graph classification—0
Causal machine learning for single-cell genomics—0
A Framework for Testing Identifiability of Bayesian Models of Perception—0
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