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Experimental Design

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Showing 151–200 of 688 papers

TitleStatusHype
Active Learning-Based Optimization of Scientific Experimental Design—0
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
Deep Optimal Experimental Design for Parameter Estimation Problems—0
Design Amortization for Bayesian Optimal Experimental Design—0
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter—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
BO-Muse: A human expert and AI teaming framework for accelerated experimental design—0
An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper—0
Beta regression mixed model applied to sensory analysis—0
Active Exploration via Experiment Design in Markov Chains—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
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice—0
Best-Arm Identification in Linear Bandits—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
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
Causal Message Passing for Experiments with Unknown and General Network Interference—0
An Experimental Design Perspective on Exploration in Reinforcement Learning—0
A Framework for Testing Identifiability of Bayesian Models of Perception—0
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery—0
Approximation Algorithms for D-optimal Design—0
``Cheese!'': a Corpus of Face-to-face French Interactions. A Case Study for Analyzing Smiling and Conversational Humor—0
CLAIMED: A CLAssification-Incorporated Minimum Energy Design to explore a multivariate response surface with feasibility constraints—0
Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading—0
Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity—0
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark—0
BayesOpt: A Library for Bayesian optimization with Robotics Applications—0
An Experimental-Design Perspective on Population Genetic Variation—0
Comprehensive Analysis and Experimental Design of High-Gain DC-DC Boost Converter Topologies—0
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach—0
A pretest-posttest pilot study for augmented reality-based physical-cognitive training in community-dwelling older adults at risk of mild cognitive impairment—0
Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery—0
A QMC-deep learning method for diffusivity estimation in random domains—0
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models—0
Consistency of some sequential experimental design strategies for excursion set estimation based on vector-valued Gaussian processes—0
A primer on model-guided exploration of fitness landscapes for biological sequence design—0
Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints—0
Constrained Online Decision-Making: A Unified Framework—0
Construction and optimization of health behavior prediction model for the elderly in smart elderly care—0
Adaptive Experimental Design for Policy Learning—0
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness—0
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning—0
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