{"total":31,"rows":[{"id":"2206.03301","title":"Recent Advances in Bayesian Optimization","created":"2022-06-07","cited_by_count":76,"area":null},{"id":"2210.06850","title":"Sample-Then-Optimize Batch Neural Thompson Sampling","created":"2022-10-13","cited_by_count":25,"area":null},{"id":"2201.09785","title":"Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search","created":"2022-01-24","cited_by_count":17,"area":null},{"id":"2205.14309","title":"Federated Neural Bandits","created":"2022-05-28","cited_by_count":17,"area":null},{"id":"2505.14756","title":"LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization","created":"2025-05-20","cited_by_count":14,"area":null},{"id":"2310.05373","title":"Quantum Bayesian Optimization","created":"2023-10-09","cited_by_count":12,"area":null},{"id":"2206.09341","title":"Bayesian Optimization under Stochastic Delayed Feedback","created":"2022-06-19","cited_by_count":10,"area":null},{"id":"2306.14348","title":"Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design","created":"2023-06-25","cited_by_count":9,"area":null},{"id":"2206.06872","title":"On Provably Robust Meta-Bayesian Optimization","created":"2022-06-14","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":"2403.01387","title":"A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications","created":"2024-03-03","cited_by_count":8,"area":null},{"id":"2212.08930","title":"On Noisy Evaluation in Federated Hyperparameter Tuning","created":"2022-12-17","cited_by_count":7,"area":null},{"id":"2205.15268","title":"Federated X-Armed Bandit","created":"2022-05-30","cited_by_count":5,"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":"2411.07523","title":"Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective","created":"2024-11-12","cited_by_count":5,"area":null},{"id":"2210.08295","title":"A Secure Federated Data-Driven Evolutionary Multi-objective Optimization Algorithm","created":"2022-10-15","cited_by_count":4,"area":null},{"id":"2410.11577","title":"Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting","created":"2024-10-12","cited_by_count":4,"area":null},{"id":"2202.08338","title":"Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis","created":"2022-02-16","cited_by_count":3,"area":null},{"id":"2206.12342","title":"FEATHERS: Federated Architecture and Hyperparameter Search","created":"2022-06-24","cited_by_count":3,"area":null},{"id":"2501.07046","title":"Differentially Private Kernelized Contextual Bandits","created":"2025-01-13","cited_by_count":3,"area":null},{"id":"2211.02106","title":"Federated Hypergradient Descent","created":"2022-11-03","cited_by_count":2,"area":null},{"id":"2306.14498","title":"Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing","created":"2023-06-26","cited_by_count":2,"area":null},{"id":"2310.14544","title":"Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression","created":"2023-10-23","cited_by_count":2,"area":null},{"id":"2502.01085","title":"Federated Linear Dueling Bandits","created":"2025-02-03","cited_by_count":2,"area":null},{"id":"2211.13656","title":"Federated Learning Hyper-Parameter Tuning from a System Perspective","created":"2022-11-24","cited_by_count":1,"area":null},{"id":"2308.08634","title":"FedPop: Federated Population-based Hyperparameter Tuning","created":"2023-08-16","cited_by_count":1,"area":null},{"id":"2502.06044","title":"Differentially Private Hyperparameter Tuning using Local Bayesian Optimization","created":"2025-02-09","cited_by_count":1,"area":null},{"id":"2604.18912","title":"Collaborative Contextual Bayesian Optimization","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2508.16931","title":"Degree of Staleness-Aware Data Updating in Federated Learning","created":"2025-08-23","cited_by_count":0,"area":null},{"id":"2510.04902","title":"DP-Hype: Federated Differentially Private Hyperparameter Search","created":"2025-10-06","cited_by_count":0,"area":null},{"id":"2609.35038","title":"GUIDE-FBO: Guidance via Uncertainty Intervention and Distributional Exchange for Federated Bayesian Optimization","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}