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Experimental Design

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Showing 501–550 of 688 papers

TitleStatusHype
On the importance of block randomisation when designing proteomics experiments—0
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations—0
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean samplingCode0
Gamification of Pure Exploration for Linear Bandits—0
SyntaxGym: An Online Platform for Targeted Evaluation of Language Models—0
Recovery of Sparse Signals from a Mixture of Linear Samples—0
Show me the Way: Intrinsic Motivation from Demonstrations—0
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits—0
CLAIMED: A CLAssification-Incorporated Minimum Energy Design to explore a multivariate response surface with feasibility constraints—0
The Criminality From Face Illusion—0
Generating Artificial Outliers in the Absence of Genuine Ones -- a Survey—0
Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design—0
Early Screening of SARS-CoV-2 by Intelligent Analysis of X-Ray ImagesCode0
Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designsCode0
Optimal Experiment Design for AC Power Systems Admittance Estimation—0
On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference—0
``Cheese!'': a Corpus of Face-to-face French Interactions. A Case Study for Analyzing Smiling and Conversational Humor—0
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion SegmentationCode0
Coupled differentiation and division of embryonic stem cells inferred from clonal snapshots—0
Noisy Adaptive Group Testing using Bayesian Sequential Experimental DesignCode0
Maximizing Determinants under Matroid Constraints—0
An approximate KLD based experimental design for models with intractable likelihoodsCode0
Gravitational Wave Detection and Information Extraction via Neural Networks—0
Sequential Bayesian Experimental Design for Implicit Models via Mutual InformationCode0
Experimental Design under Network Interference—0
Memory-efficient Learning for Large-scale Computational Imaging—0
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling—0
Bayesian Experimental Design for Implicit Models by Mutual Information Neural EstimationCode0
A Newton Frank-Wolfe Method for Constrained Self-Concordant MinimizationCode0
Estimating the number and effect sizes of non-null hypothesesCode0
Efficient Adaptive Experimental Design for Average Treatment Effect Estimation—0
ALPINE: Active Link Prediction using Network Embedding—0
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation—0
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness—0
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop—0
Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning—0
Sample Efficient Active Learning of Causal Trees—0
Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions—0
Investigating Active Learning and Meta-Learning for Iterative Peptide Design—0
Empirical Study of Off-Policy Policy Evaluation for Reinforcement LearningCode0
Bayesian nonparametric discontinuity designCode0
Incentive Compatible Active Learning—0
Adaptivity in Adaptive Submodularity—0
Optimal Experimental Design for Staggered RolloutsCode0
Confidence Intervals for Policy Evaluation in Adaptive ExperimentsCode0
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal ExperimentsCode0
A QMC-deep learning method for diffusivity estimation in random domains—0
Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty—0
Leveraging Legacy Data to Accelerate Materials Design via Preference LearningCode0
Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity—0
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