black-box optimization

182 papers

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Also known as

BBOB BBO

Co-occurring keywords

bayesian optimization (623) gaussian process (1198) zeroth-order optimization (101) regret bound (1918) surrogate model (181) large language model (12755) acquisition function (129) reinforcement learning (4122) hyperparameter optimization (405) adversarial attack (1599)

Papers

CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization AAAI 2025

Transition Constrained Bayesian Optimization via Markov Decision Processes NIPS 2024

Monte Carlo Tree Search based Space Transfer for Black Box Optimization NIPS 2024

Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values NIPS 2024

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training ACL 2024

Sample-Constrained Black Box Optimization for Audio Personalization AAAI 2024

OpenBox: A Python Toolkit for Generalized Black-box Optimization JMLR 2024

Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving CVPR 2024

This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NIPS 2024

Pretrained Optimization Model for Zero-Shot Black Box Optimization NIPS 2024

Bayesian Optimization of Functions over Node Subsets in Graphs NIPS 2024

ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization NIPS 2024

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives COLING 2024

Goal Conditioned Reinforcement Learning for Photo Finishing Tuning NIPS 2024

Multi-Scale Prompt Memory-Augmented Model for Black-Box Scenarios NAACL 2024

PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization JMLR 2024

Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning JMLR 2024

HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses IJCAI 2024

YNU-HPCC at SemEval-2024 Task 1: Self-Instruction Learning with Black-box Optimization for Semantic Textual Relatedness NAACL 2024

Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization EMNLP 2024

Language Models as Black-Box Optimizers for Vision-Language Models CVPR 2024

Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024

YNU-HPCC at SemEval-2024 Task 1: Self-Instruction Learning with Black-box Optimization for Semantic Textual Relatedness SEMEVAL 2024

Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning JMLR 2024

Learning to Correct for QA Reasoning with Black-box LLMs EMNLP 2024