black-box optimization

Efficient Evolutionary Search Over Chemical Space with Large Language Models ICLR 2025 Evolvable Conditional Diffusion IJCAI 2025 Exploring Exploration in Bayesian Optimization UAI 2025 Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation ICLR 2025 Feasibility-Driven Trust Region Bayesian Optimization AutoML 2025 Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space IJCAI 2025 Kernel Learning for Sample Constrained Black-Box Optimization AAAI 2025 Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks AAAI 2025 Learning Instance-Specific Parameters of Black-Box Models using Differentiable Surrogates WACV 2025 LICO: Large Language Models for In-Context Molecular Optimization ICLR 2025 Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning ICLR 2025 Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization ICLR 2025 Offline Model-Based Optimization by Learning to Rank ICLR 2025 Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization ICML 2025 Query Efficient Black-Box Visual Prompting with Subspace Learning CVPR 2025 Reinforced In-Context Black-Box Optimization IJCAI 2025 Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025 Scalable Acceleration for Classification-Based Derivative-Free Optimization AAAI 2025 SFS: Smarter Code Space Search improves LLM Inference Scaling ICLR 2025 Stein Variational Evolution Strategies UAI 2025 Variational Search Distributions ICLR 2025 Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values NeurIPS 2024 Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning ICLR 2024 Bayesian Optimization of Functions over Node Subsets in Graphs NeurIPS 2024 Black-Box Prompt Optimization: Aligning Large Language Models without Model Training ACL 2024