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black-box optimization

182 papers

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Also known as

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

Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering AAAI 2026
Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization EACL 2026
EvoGrad: Evolutionary-Weighted Gradient and Hessian Learning for Black-Box Optimization AAAI 2026
Cliqueformer: Model-Based Optimization with Structured Transformers AAAI 2026
B2Opt: Learning to Optimize Black-box Optimization with Little Budget AAAI 2025
Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design AAAI 2025
CALM: Curiosity-Driven Auditing for Large Language Models AAAI 2025
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs NAACL 2025
AGENTVIGIL: Automatic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents EMNLP 2025
Evolvable Conditional Diffusion IJCAI 2025
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025
ACING: Actor-Critic for Instruction Learning in Black-Box LLMs EMNLP 2025
Kernel Learning for Sample Constrained Black-Box Optimization AAAI 2025
CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization AAAI 2025
Scalable Acceleration for Classification-Based Derivative-Free Optimization AAAI 2025
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization AUTOML 2025
Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space IJCAI 2025
Query Efficient Black-Box Visual Prompting with Subspace Learning CVPR 2025
Black-Box Optimization with Implicit Constraints for Public Policy AAAI 2025
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning AAAI 2025
Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks AAAI 2025
An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer NAACL 2025
Constrained Offline Black-Box Optimization via Risk Evaluation and Management AAAI 2025
Learning Instance-Specific Parameters of Black-Box Models using Differentiable Surrogates WACV 2025
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces AAAI 2025