Imagen de Portada

BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ryu, Seunghee, Kwon, Donghoon, Choi, Seongjin, Deshwal, Aryan, Kang, Seungmo, Osorio, Carolina
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier
por: Luo, Gaoxiang, et al.
Publicado: (2025)

Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces
por: Deshwal, Aryan, et al.
Publicado: (2024)

EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
por: Cheon, Mujin, et al.
Publicado: (2024)

Offline Model-Based Optimization via Policy-Guided Gradient Search
por: Chemingui, Yassine, et al.
Publicado: (2024)

Beyond coauthorship: semantic structure and phantom collaborators in transportation research, 1967--2025
por: Choi, Seongjin
Publicado: (2026)

Online Optimization for Offline Safe Reinforcement Learning
por: Chemingui, Yassine, et al.
Publicado: (2025)

Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
por: Hoang, Minh, et al.
Publicado: (2025)

Toward Safe Integration of UAM in Terminal Airspace: UAM Route Feasibility Assessment using Probabilistic Aircraft Trajectory Prediction
por: Cho, Jungwoo, et al.
Publicado: (2025)

TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows
por: Kosieradzki, Mitch, et al.
Publicado: (2025)

Understanding High-Dimensional Bayesian Optimization
por: Papenmeier, Leonard, et al.
Publicado: (2025)

FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
por: Aglietti, Virginia, et al.
Publicado: (2024)

Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
por: Chemingui, Yassine, et al.
Publicado: (2024)

BioBO: Biology-informed Bayesian Optimization for Perturbation Design
por: Li, Yanke, et al.
Publicado: (2025)

Weaver: Kronecker Product Approximations of Spatiotemporal Attention for Traffic Network Forecasting
por: Cheong, Christopher, et al.
Publicado: (2025)

PMA-Diffusion: A Physics-guided Mask-Aware Diffusion Framework for TSE from Sparse Observations
por: Liu, Lindong, et al.
Publicado: (2025)

An Adaptive Dropout Approach for High-Dimensional Bayesian Optimization
por: Huang, Jundi, et al.
Publicado: (2025)

Symmetry-Aware Bayesian Optimization via Max Kernels
por: Bardou, Anthony, et al.
Publicado: (2025)

Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control
por: Jiang, Sicong, et al.
Publicado: (2024)

Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization
por: Zhao, Jiayu, et al.
Publicado: (2023)

High Dimensional Bayesian Optimization using Lasso Variable Selection
por: Hoang, Vu Viet, et al.
Publicado: (2025)

We Still Don't Understand High-Dimensional Bayesian Optimization
por: Doumont, Colin, et al.
Publicado: (2025)

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment
por: Min, Donggyu, et al.
Publicado: (2025)

Better Batch for Deep Probabilistic Time Series Forecasting
por: Zheng, Vincent Zhihao, et al.
Publicado: (2023)

Probabilistic Traffic Forecasting with Dynamic Regression
por: Zheng, Vincent Zhihao, et al.
Publicado: (2023)

PHUDGE: Phi-3 as Scalable Judge
por: Deshwal, Mahesh, et al.
Publicado: (2024)

MobText-SISA: Efficient Machine Unlearning for Mobility Logs with Spatio-Temporal and Natural-Language Data
por: Yonekura, Haruki, et al.
Publicado: (2025)

FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization
por: Chen, Hui, et al.
Publicado: (2025)

ARCO-BO: Adaptive Resource-aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Design
por: Wang, Zihan, et al.
Publicado: (2025)

Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
por: Zhan, Dawei
Publicado: (2024)

Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
por: Santoni, Maria Laura, et al.
Publicado: (2023)

Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-driven Adaptive Experimental Design
por: Fadhel, Azza, et al.
Publicado: (2026)

Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
por: Wei, Yunyue, et al.
Publicado: (2024)

Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
por: Papenmeier, Leonard, et al.
Publicado: (2023)

High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces
por: Nguyen, Quoc-Anh Hoang, et al.
Publicado: (2024)

Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization
por: Tran-The, Hung, et al.
Publicado: (2019)

Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
por: Bardou, Anthony, et al.
Publicado: (2023)

Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection
por: Shen, Yihang, et al.
Publicado: (2021)

Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization
por: Xu, Zhitong, et al.
Publicado: (2024)

Navigating in High-Dimensional Search Space: A Hierarchical Bayesian Optimization Approach
por: Li, Wenxuan, et al.
Publicado: (2024)

Leveraging Axis-Aligned Subspaces for High-Dimensional Bayesian Optimization with Group Testing
por: Hellsten, Erik, et al.
Publicado: (2025)