{"total":24,"rows":[{"id":"2402.03921","title":"Large Language Models to Enhance Bayesian Optimization","created":"2024-02-06","cited_by_count":135,"area":null},{"id":"2404.07662","title":"PINNACLE: PINN Adaptive ColLocation and Experimental points selection","created":"2024-04-11","cited_by_count":32,"area":null},{"id":"2302.09205","title":"Approximate Thompson Sampling via Epistemic Neural Networks","created":"2023-02-18","cited_by_count":31,"area":null},{"id":"2310.02905","title":"Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers","created":"2023-10-02","cited_by_count":30,"area":null},{"id":"2310.05373","title":"Quantum Bayesian Optimization","created":"2023-10-09","cited_by_count":12,"area":null},{"id":"2308.04077","title":"Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients","created":"2023-08-08","cited_by_count":8,"area":null},{"id":"2311.01195","title":"Batch Bayesian Optimization for Replicable Experimental Design","created":"2023-11-02","cited_by_count":8,"area":null},{"id":"2211.09100","title":"Global Optimization with Parametric Function Approximation","created":"2022-11-16","cited_by_count":7,"area":null},{"id":"2306.04454","title":"Training-Free Neural Active Learning with Initialization-Robustness Guarantees","created":"2023-06-07","cited_by_count":5,"area":null},{"id":"2506.11831","title":"Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?","created":"2025-06-13","cited_by_count":5,"area":null},{"id":"2403.07591","title":"Robustifying and Boosting Training-Free Neural Architecture Search","created":"2024-03-12","cited_by_count":4,"area":null},{"id":"2502.02079","title":"Online Clustering of Dueling Bandits","created":"2025-02-04","cited_by_count":3,"area":null},{"id":"2510.25240","title":"Generative Bayesian Optimization: Generative Models as Acquisition Functions","created":"2025-10-29","cited_by_count":3,"area":null},{"id":"2409.00561","title":"Multi-Task Combinatorial Bandits for Budget Allocation","created":"2024-08-31","cited_by_count":2,"area":null},{"id":"2410.06333","title":"Batched Bayesian optimization by maximizing the probability of including the optimum","created":"2024-10-08","cited_by_count":2,"area":null},{"id":"2412.16554","title":"High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces","created":"2024-12-21","cited_by_count":2,"area":null},{"id":"2503.03023","title":"Quantum Non-Linear Bandit Optimization","created":"2025-03-04","cited_by_count":2,"area":null},{"id":"2406.10686","title":"Graph Neural Thompson Sampling","created":"2024-06-15","cited_by_count":1,"area":null},{"id":"2506.21894","title":"Thompson Sampling in Function Spaces via Neural Operators","created":"2025-06-27","cited_by_count":1,"area":null},{"id":"2605.13160","title":"Kernel-based guarantees for nonlinear parametric models in Bayesian optimization","created":"2026-05-13","cited_by_count":1,"area":null},{"id":"2402.11427","title":"OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations","created":"2024-02-18","cited_by_count":0,"area":null},{"id":"2505.09847","title":"Causal Predictive Optimization and Generation for Business AI","created":"2025-05-14","cited_by_count":0,"area":null},{"id":"2509.07909","title":"Uncovering Scaling Laws for Large Language Models via Inverse Problems","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2509.19263","title":"Discovering strategies for coastal resilience with AI-based prediction and optimization","created":"2025-09-23","cited_by_count":0,"area":null}],"next_cursor":null}