offline optimization

Offline Model-Based Optimization by Learning to Rank ICLR 2025 Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024 Generative Adversarial Model-Based Optimization via Source Critic Regularization NeurIPS 2024 Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization NeurIPS 2024 Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques NeurIPS 2024 Offline Model-Based Optimization via Policy-Guided Gradient Search AAAI 2024 Offline Multi-Objective Optimization ICML 2024 Bidirectional Learning for Offline Model-based Biological Sequence Design ICML 2023 Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences NeurIPS 2023 Diffusion Models for Black-Box Optimization ICML 2023 Sequential Counterfactual Risk Minimization ICML 2023 Data-Driven Offline Optimization for Architecting Hardware Accelerators ICLR 2022 Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization ICML 2022 Conservative Objective Models for Effective Offline Model-Based Optimization ICML 2021 Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation ICLR 2021 Offline Contextual Bayesian Optimization NeurIPS 2019