Cover Image

Trajectory-Oriented Optimization Via Adaptive Thompson Sampling And Grid Refinement: A Tutorial With The ADAPTIVE\_TS Package

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	O'Gara, David, Fadikar, Arindam, Binois, Mickaël, Collier, Nicholson, Ozik, Jonathan
Format:	Preprint
Published:	2026
Subjects:	Computation Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Staying on Track: Efficient Trajectory Discovery with Adaptive Batch Sampling
by: Fadikar, Arindam, et al.
Published: (2025)

Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study
by: O'Gara, David, et al.
Published: (2024)

Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo
by: Fadikar, Arindam, et al.
Published: (2024)

Gearing Gaussian process modeling and sequential design towards stochastic simulators
by: Binois, Mickael, et al.
Published: (2024)

Bayesian calibration of stochastic agent based model via random forest
by: Robertson, Connor, et al.
Published: (2024)

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis
by: O'Gara, David, et al.
Published: (2025)

Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions
by: Binois, Mickael, et al.
Published: (2025)

Beyond Grids: Multi-objective Bayesian Optimization With Adaptive Discretization
by: Nika, Andi, et al.
Published: (2020)

Optimal Control of Microswimmers for Trajectory Tracking Using Bayesian Optimization
by: Palazzolo, Lucas, et al.
Published: (2026)

Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization
by: Do, Bach, et al.
Published: (2025)

Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine
by: Jaiswal, Prateek, et al.
Published: (2025)

CDsampling: An R Package for Constrained D-Optimal Sampling in Paid Research Studies
by: Huang, Yifei, et al.
Published: (2024)

Predicting Power Grid Failures Using Self-Organized Criticality: A Case Study of the Texas Grid 2014-2022
by: Salvaña, Mary Lai O., et al.
Published: (2025)

Hemicrania continua exacerbations with prodromal burping as a potential autonomic symptom
by: Raluca A. Negulescu, et al.
Published: (2026)

Training future engineers: Integrating Computational Thinking and effective learning methodologies into education
by: Rafael Herrero‐Álvarez, et al.
Published: (2024)

Tutorial on survival modeling with applications to omics data
by: Zhao, Zhi, et al.
Published: (2023)

Whale Optimization Algorithm‐Based Adaptive Controller for Grid‐Following Inverters: Conceptualization, Simulation, and Experimental Validation
by: Mateus Santos da Silva, et al.
Published: (2026)

PSInference: A Package to Draw Inference for Released Plug-in Sampling Single Synthetic Dataset
by: Moura, Ricardo, et al.
Published: (2025)

Adaptive Gaussian Process Search for Simulation-Based Sample Size Estimation in Clinical Prediction Models: Validation of the pmsims R Package
by: Olaniran, Oyebayo Ridwan, et al.
Published: (2026)

Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates
by: Robertson, Connor, et al.
Published: (2025)

Bayesian Calibration of Stochastic Agent Based Model via Random Forest
by: Connor Robertson, et al.
Published: (2025)

A Tutorial on Conducting Mediation Analysis with Exposure Mixtures
by: Wang, Yiran, et al.
Published: (2025)

Cooling Channel Design Optimization for High Power Multi-chip Packages
by: Acquah, Michael, et al.
Published: (2026)

Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial with Causal Forests
by: Sverdrup, Erik, et al.
Published: (2024)

Adaptive Degradation Process with Deep Learning-Driven Trajectory
by: Yang, Li
Published: (2021)

Subgroup Identification and Individualized Treatment Policies: A Tutorial on the Hybrid Two-Stage Workflow
by: Xi, Nan Miles, et al.
Published: (2025)

BayesPPDSurv: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Time-To-Event Data
by: Shen, Yueqi, et al.
Published: (2024)

Uncertainty Quantification for Agent Based Models: A Tutorial
by: Kimpton, Louise, et al.
Published: (2024)

Bayesian Optimization of Sample Entropy Hyperparameters for Short Time Series
by: Blanks, Zachary, et al.
Published: (2024)

Adaptive Phase 2/3 Design with Dose Optimization
by: Chen, Cong, et al.
Published: (2024)

Actor–Partner Model of Parenting and Co‐Parenting Practices and Youth Resilience During the COVID‐19 Pandemic
by: Olivia Aspiras, et al.
Published: (2025)

R Package moodlequizR: Fully Randomized Moodle Tests
by: Rolke, Wolfgang
Published: (2024)

Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data
by: Xie, Rui, et al.
Published: (2023)

tsdataleaks: An R Package to Detect Potential Data Leaks in Forecasting Competitions
by: Talagala, Thiyanga S.
Published: (2024)

Investigation of FWER and Power for Methodological Changes Introduced in the BDOTS R Package
by: Nolte, Collin
Published: (2025)

Selecting Critical Scenarios of DER Adoption in Distribution Grids Using Bayesian Optimization
by: Mulkin, Olivier, et al.
Published: (2025)

Ensemble Kalman Inversion for Geothermal Reservoir Modelling
by: de Beer, Alex, et al.
Published: (2024)

Analyzing Process Data from Computer-Based Assessments: A Tutorial on Preprocessing, Feature Extraction, and Model-Based Inference
by: Hwangbo, Daeun, et al.
Published: (2026)

Tutorial for Surrogate Endpoint Validation Using Joint modeling and Mediation Analysis
by: Coent, Quentin Le, et al.
Published: (2025)

Adjustment for Inconsistency in Adaptive Phase 2/3 Designs with Dose Optimization
by: Chen, Cong, et al.
Published: (2025)