black-box optimization

Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them) ICML 2024 Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index NeurIPS 2024 Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving CVPR 2024 Goal Conditioned Reinforcement Learning for Photo Finishing Tuning NeurIPS 2024 How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization? NeurIPS 2024 HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses IJCAI 2024 Language Models as Black-Box Optimizers for Vision-Language Models CVPR 2024 Learning Surrogates for Offline Black-Box Optimization via Gradient Matching ICML 2024 Learning to Correct for QA Reasoning with Black-box LLMs EMNLP 2024 Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning JMLR 2024 Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives COLING 2024 Monte Carlo Tree Search based Space Transfer for Black Box Optimization NeurIPS 2024 Multi-Scale Prompt Memory-Augmented Model for Black-Box Scenarios NAACL 2024 No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation NeurIPS 2024 OpenBox: A Python Toolkit for Generalized Black-box Optimization JMLR 2024 Position: Leverage Foundational Models for Black-Box Optimization ICML 2024 Pretrained Optimization Model for Zero-Shot Black Box Optimization NeurIPS 2024 PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization JMLR 2024 ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization NeurIPS 2024 Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024 Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning JMLR 2024 Sample-Constrained Black Box Optimization for Audio Personalization AAAI 2024 Stopping Bayesian Optimization with Probabilistic Regret Bounds NeurIPS 2024 SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning ICLR 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024