derivative-free optimization

Video and Language Alignment in 2D Systems for 3D Multi-object Scenes with Multi-Information Derivative-Free Control WACV 2026 Black-Box Test-Time Prompt Tuning for Vision-Language Models AAAI 2025 On the Almost Sure Convergence of the Stochastic Three Points Algorithm ICLR 2025 Scalable Acceleration for Classification-Based Derivative-Free Optimization AAAI 2025 TaCOS: Task-Specific Camera Optimization with Simulation WACV 2025 Black-Box Forgetting NeurIPS 2024 Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs AAAI 2024 Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization ICML 2024 Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives COLING 2024 Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization AAAI 2024 PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs ACL 2024 Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data ICML 2024 Complexity of Derivative-Free Policy Optimization for Structured H_∞ Control NeurIPS 2023 Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition EMNLP 2023 Genetic Prompt Search via Exploiting Language Model Probabilities IJCAI 2023 Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold L4DC 2023 Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods ICML 2023 When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario ACL 2023 Black-Box Generalization: Stability of Zeroth-Order Learning NeurIPS 2022 Black-Box Tuning for Language-Model-as-a-Service ICML 2022 Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards EMNLP 2022 Generalizing Gaussian Smoothing for Random Search ICML 2022 Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity NeurIPS 2021 Direct-Search for a Class of Stochastic Min-Max Problems AISTATS 2021 Outside the Echo Chamber: Optimizing the Performative Risk ICML 2021