Image de couverture de livre

Removal of Redundant Candidate Points for the Exact D-Optimal Design Problem

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Harman, Radoslav, Rosa, Samuel
Format:	Preprint
Publié:	2025
Sujets:	Computation 62K05, 62K20, 62J05, 90C11, 90C25
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Mixed-integer linear programming for computing optimal experimental designs
par: Harman, Radoslav, et autres
Publié: (2023)

A Randomized Exchange Algorithm for Optimal Design of Multi-Response Experiments
par: Somogyi, Pál, et autres
Publié: (2024)

Efficient Data-Driven Leverage Score Sampling Algorithm for the Minimum Volume Covering Ellipsoid Problem in Big Data
par: Harris, Elizabeth, et autres
Publié: (2024)

Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models
par: Shen, Wanggang, et autres
Publié: (2026)

Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
par: Shen, Wanggang, et autres
Publié: (2021)

Generalized Scaling for the Constrained Maximum-Entropy Sampling Problem
par: Chen, Zhongzhu, et autres
Publié: (2023)

FEM-based A-optimal sensor placement for heat source inversion from final time measurement
par: Aarset, Christian, et autres
Publié: (2025)

The Polytope of Optimal Approximate Designs: Extending the Selection of Informative Experiments
par: Harman, Radoslav, et autres
Publié: (2023)

Variational Sequential Optimal Experimental Design using Reinforcement Learning
par: Shen, Wanggang, et autres
Publié: (2023)

Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements
par: Wang, Jialu, et autres
Publié: (2024)

Global optimality conditions for sensor placement, with extensions to binary low-rank A-optimal designs
par: Aarset, Christian
Publié: (2024)

Optimal designs for discrete choice models via graph Laplacians
par: Röttger, Frank, et autres
Publié: (2022)

An optimal experimental design approach to sensor placement in continuous stochastic filtering
par: Pathiraja, Sahani, et autres
Publié: (2025)

BISTRO -- A Bi-Fidelity Stochastic Gradient Framework using Trust-Regions for Optimization Under Uncertainty
par: Dixon, Thomas O., et autres
Publié: (2025)

Multi-Iteration Stochastic Optimizers
par: Carlon, Andre, et autres
Publié: (2020)

MOODE: An R Package for Multi-Objective Optimal Design of Experiments
par: Koutra, Vasiliki, et autres
Publié: (2024)

Gradient flow for finding E-optimal designs
par: Shi, Jieling, et autres
Publié: (2026)

A Multi-fidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design
par: Coons, Thomas E., et autres
Publié: (2025)

Nonparametric estimation of the job-size distribution for an M/G/1 queue with Poisson sampling
par: Ravner, Liron
Publié: (2023)

Permanent and transitory crime risk in variable-density hot spot analysis
par: Moews, Ben
Publié: (2025)

IPAS: An Adaptive Sample Size Method for Weighted Finite Sum Problems with Linear Equality Constraints
par: Krejić, Nataša, et autres
Publié: (2025)

On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent
par: Laumont, Rémi, et autres
Publié: (2022)

Determining a credit transition matrix from cumulative default probabilities
par: Gzyl, Henryk, et autres
Publié: (2025)

Design-based causal inference in bipartite experiments
par: Lu, Sizhu, et autres
Publié: (2025)

An NPDo Approach for Principal Joint Block Diagonalization
par: Li, Ren-Cang, et autres
Publié: (2026)

An NPDo Approach for Principal Joint SVD-type Block Diagonalization
par: Li, Ren-Cang, et autres
Publié: (2026)

Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on finite spaces: A statistical perspective
par: Hundrieser, Shayan, et autres
Publié: (2022)

The exact region and an inequality between Chatterjee's and Spearman's rank correlations
par: Ansari, Jonathan, et autres
Publié: (2025)

ASMOP: Additional sampling stochastic trust region method for multi-objective problems
par: Jerinkić, Nataša Krklec, et autres
Publié: (2025)

Optimal Dorfman Group Testing for Symmetric Distributions
par: Landolfi, Nicholas C., et autres
Publié: (2023)

Bayesian Multi-Topology Express Transportation Network Design under Posterior Predictive Demand, Sorting-Efficiency and Delivery-Time Uncertainty
par: Chatterjee, Debashis
Publié: (2026)

Berry-Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes
par: Shi, Lei, et autres
Publié: (2022)

Asymptotic theory of the quadratic assignment procedure for dyadic data analysis
par: Shi, Lei, et autres
Publié: (2024)

Forward selection and post-selection inference in factorial designs
par: Shi, Lei, et autres
Publié: (2023)

Leveraging LLMs to Improve Experimental Design: A Generative Stratification Approach
par: Gui, George, et autres
Publié: (2025)

Information-geometry-driven graph sequential growth
par: Bond, Harry T., et autres
Publié: (2026)

Maintenance optimization of a two-component system with mixed observability
par: Zhang, Nan, et autres
Publié: (2026)

On variational inference and maximum likelihood estimation with the λ-exponential family
par: Guilmeau, Thomas, et autres
Publié: (2023)

Skewness, crossing number and Euler's bound for graphs on surfaces
par: Kainen, Paul C.
Publié: (2025)

Some theoretical foundations for the design and analysis of randomized experiments
par: Shi, Lei, et autres
Publié: (2024)