On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting
Fuente:
arXiv
Saved in:
| Main Authors: | Yoshikawa, Takushi, Tanabe, Ryoji |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BoLT: A Benchmark to Democratize Black-box Optimization Research for Expensive LLM Tasks
by: Chew, Ruth Wan Theng, et al.
Published: (2026)
by: Chew, Ruth Wan Theng, et al.
Published: (2026)
Hyperband-based Bayesian Optimization for Black-box Prompt Selection
by: Schneider, Lennart, et al.
Published: (2024)
by: Schneider, Lennart, et al.
Published: (2024)
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
by: Lee, Deokjae, et al.
Published: (2024)
by: Lee, Deokjae, et al.
Published: (2024)
On Transfer-based Universal Attacks in Pure Black-box Setting
by: Jalwana, Mohammad A. A. K., et al.
Published: (2025)
by: Jalwana, Mohammad A. A. K., et al.
Published: (2025)
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
by: Li, Bingdong, et al.
Published: (2024)
by: Li, Bingdong, et al.
Published: (2024)
In-Context Algorithm Emulation in Fixed-Weight Transformers
by: Hu, Jerry Yao-Chieh, et al.
Published: (2025)
by: Hu, Jerry Yao-Chieh, et al.
Published: (2025)
FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization
by: Yao, Yiming, et al.
Published: (2025)
by: Yao, Yiming, et al.
Published: (2025)
Algorithm Configuration for Structured Pfaffian Settings
by: Balcan, Maria-Florina, et al.
Published: (2024)
by: Balcan, Maria-Florina, et al.
Published: (2024)
c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization
by: Watanabe, Shuhei, et al.
Published: (2022)
by: Watanabe, Shuhei, et al.
Published: (2022)
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability
by: Nezami, Nazanin, et al.
Published: (2024)
by: Nezami, Nazanin, et al.
Published: (2024)
Monte Carlo Tree Search based Space Transfer for Black-box Optimization
by: Wang, Shukuan, et al.
Published: (2024)
by: Wang, Shukuan, et al.
Published: (2024)
Interpretable Neural Networks with Random Constructive Algorithm
by: Nan, Jing, et al.
Published: (2023)
by: Nan, Jing, et al.
Published: (2023)
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction
by: Kostovska, Ana, et al.
Published: (2025)
by: Kostovska, Ana, et al.
Published: (2025)
Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimization
by: Mitra, Pallavi, et al.
Published: (2024)
by: Mitra, Pallavi, et al.
Published: (2024)
EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
by: Bliek, Laurens, et al.
Published: (2021)
by: Bliek, Laurens, et al.
Published: (2021)
From Black-box to Causal-box: Towards Building More Interpretable Models
by: Hwang, Inwoo, et al.
Published: (2025)
by: Hwang, Inwoo, et al.
Published: (2025)
An Optimization Algorithm for Multimodal Data Alignment
by: Zhang, Wei, et al.
Published: (2025)
by: Zhang, Wei, et al.
Published: (2025)
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
by: Yoshikawa, Yuya, et al.
Published: (2024)
by: Yoshikawa, Yuya, et al.
Published: (2024)
Task-free Adaptive Meta Black-box Optimization
by: Wang, Chao, et al.
Published: (2026)
by: Wang, Chao, et al.
Published: (2026)
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems
by: Yun, Taeyoung, et al.
Published: (2024)
by: Yun, Taeyoung, et al.
Published: (2024)
Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)
by: Tan, Kim Yong, et al.
Published: (2025)
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
by: Sani, Numair, et al.
Published: (2020)
by: Sani, Numair, et al.
Published: (2020)
Compute Requirements for Algorithmic Innovation in Frontier AI Models
by: Barnett, Peter
Published: (2025)
by: Barnett, Peter
Published: (2025)
Geometric Algorithms for Neural Combinatorial Optimization with Constraints
by: Karalias, Nikolaos, et al.
Published: (2025)
by: Karalias, Nikolaos, et al.
Published: (2025)
Convergence of Some Convex Message Passing Algorithms to a Fixed Point
by: Voracek, Vaclav, et al.
Published: (2024)
by: Voracek, Vaclav, et al.
Published: (2024)
Black-box Uncertainty Quantification Method for LLM-as-a-Judge
by: Wagner, Nico, et al.
Published: (2024)
by: Wagner, Nico, et al.
Published: (2024)
Active Policy Improvement from Multiple Black-box Oracles
by: Liu, Xuefeng, et al.
Published: (2023)
by: Liu, Xuefeng, et al.
Published: (2023)
BELLA: Black box model Explanations by Local Linear Approximations
by: Radulovic, Nedeljko, et al.
Published: (2023)
by: Radulovic, Nedeljko, et al.
Published: (2023)
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning
by: Zhao, Weiye, et al.
Published: (2024)
by: Zhao, Weiye, et al.
Published: (2024)
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
by: Chen, Yang, et al.
Published: (2025)
by: Chen, Yang, et al.
Published: (2025)
COOPO: Cyclic Offline-Online Policy Optimization Algorithm
by: Liu, Qisai, et al.
Published: (2026)
by: Liu, Qisai, et al.
Published: (2026)
OMEGA: Optimizing Machine Learning by Evaluating Generated Algorithms
by: Nixon, Jeremy, et al.
Published: (2026)
by: Nixon, Jeremy, et al.
Published: (2026)
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
by: Tørring, Jacob O., et al.
Published: (2024)
by: Tørring, Jacob O., et al.
Published: (2024)
DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model
by: Li, Rongqing, et al.
Published: (2024)
by: Li, Rongqing, et al.
Published: (2024)
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol
by: Liu, Pai, et al.
Published: (2025)
by: Liu, Pai, et al.
Published: (2025)
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints
by: Agnihotri, Akhil, et al.
Published: (2023)
by: Agnihotri, Akhil, et al.
Published: (2023)
Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs
by: Ren, Yanwei, et al.
Published: (2025)
by: Ren, Yanwei, et al.
Published: (2025)
AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive
by: Guo, Taicheng, et al.
Published: (2026)
by: Guo, Taicheng, et al.
Published: (2026)
Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box
by: Moreira, Catarina, et al.
Published: (2022)
by: Moreira, Catarina, et al.
Published: (2022)
MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models
by: Jain, Yash Patawari, et al.
Published: (2024)
by: Jain, Yash Patawari, et al.
Published: (2024)
Similar Items
-
BoLT: A Benchmark to Democratize Black-box Optimization Research for Expensive LLM Tasks
by: Chew, Ruth Wan Theng, et al.
Published: (2026) -
Hyperband-based Bayesian Optimization for Black-box Prompt Selection
by: Schneider, Lennart, et al.
Published: (2024) -
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
by: Lee, Deokjae, et al.
Published: (2024) -
On Transfer-based Universal Attacks in Pure Black-box Setting
by: Jalwana, Mohammad A. A. K., et al.
Published: (2025) -
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
by: Li, Bingdong, et al.
Published: (2024)