{"total":28,"rows":[{"id":"2202.08450","title":"Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization","created":"2022-02-17","cited_by_count":97,"area":null},{"id":"2107.06882","title":"Conservative Objective Models for Effective Offline Model-Based Optimization","created":"2021-07-14","cited_by_count":88,"area":null},{"id":"2110.14188","title":"RoMA: Robust Model Adaptation for Offline Model-based Optimization","created":"2021-10-27","cited_by_count":39,"area":null},{"id":"2206.10786","title":"Generative Pretraining for Black-Box Optimization","created":"2022-06-22","cited_by_count":36,"area":null},{"id":"2211.11349","title":"Data-Driven Offline Decision-Making via Invariant Representation Learning","created":"2022-11-21","cited_by_count":31,"area":null},{"id":"2110.11346","title":"Data-Driven Offline Optimization For Architecting Hardware Accelerators","created":"2021-10-20","cited_by_count":29,"area":null},{"id":"2110.09246","title":"Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection","created":"2021-10-18","cited_by_count":23,"area":null},{"id":"2306.03111","title":"Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences","created":"2023-06-05","cited_by_count":23,"area":null},{"id":"2310.19961","title":"ExPT: Synthetic Pretraining for Few-Shot Experimental Design","created":"2023-10-30","cited_by_count":22,"area":null},{"id":"2106.01151","title":"Towards Deeper Deep Reinforcement Learning with Spectral Normalization","created":"2021-06-02","cited_by_count":19,"area":null},{"id":"2405.05349","title":"Offline Model-Based Optimization via Policy-Guided Gradient Search","created":"2024-05-08","cited_by_count":19,"area":null},{"id":"2412.03718","title":"ParetoFlow: Guided Flows in Multi-Objective Optimization","created":"2024-12-04","cited_by_count":17,"area":null},{"id":"2503.17286","title":"Offline Model-Based Optimization: Comprehensive Review","created":"2025-03-21","cited_by_count":15,"area":null},{"id":"2410.11502","title":"Offline Model-Based Optimization by Learning to Rank","created":"2024-10-15","cited_by_count":13,"area":null},{"id":"2205.09665","title":"Automated Crossword Solving","created":"2022-05-19","cited_by_count":9,"area":null},{"id":"2405.16730","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","created":"2024-05-27","cited_by_count":8,"area":null},{"id":"2506.07109","title":"Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings","created":"2025-06-08","cited_by_count":7,"area":null},{"id":"2106.09019","title":"Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate","created":"2021-06-16","cited_by_count":6,"area":null},{"id":"2503.04181","title":"Boosting Offline Optimizers with Surrogate Sensitivity","created":"2025-03-06","cited_by_count":6,"area":null},{"id":"2503.04242","title":"Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques","created":"2025-03-06","cited_by_count":5,"area":null},{"id":"2509.16300","title":"ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge","created":"2025-09-19","cited_by_count":4,"area":null},{"id":"2304.03866","title":"Conservative objective models are a special kind of contrastive divergence-based energy model","created":"2023-04-07","cited_by_count":3,"area":null},{"id":"2601.14446","title":"Diffusion Large Language Models for Black-Box Optimization","created":"2026-01-20","cited_by_count":2,"area":null},{"id":"2603.04000","title":"On the Learnability of Offline Model-Based Optimization: A Ranking Perspective","created":"2026-03-04","cited_by_count":2,"area":null},{"id":"2211.05495","title":"Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm","created":"2022-11-10","cited_by_count":1,"area":null},{"id":"2309.13985","title":"Physics-Driven ML-Based Modelling for Correcting Inverse Estimation","created":"2023-09-25","cited_by_count":1,"area":null},{"id":"2401.02019","title":"From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization","created":"2024-01-04","cited_by_count":1,"area":null},{"id":"2609.01493","title":"Rethinking Learnability in Offline Data-driven Optimization","created":"2026-09-01","cited_by_count":0,"area":null}],"next_cursor":null}