{"total":13,"rows":[{"id":"2306.09819","title":"Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels","created":"2023-06-16","cited_by_count":10,"area":null},{"id":"2303.10022","title":"Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems","created":"2023-03-17","cited_by_count":4,"area":null},{"id":"2501.15458","title":"Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies From Simulated Nonparametric Functions","created":"2025-01-26","cited_by_count":3,"area":null},{"id":"2402.18260","title":"Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning","created":"2024-02-28","cited_by_count":2,"area":null},{"id":"2510.26401","title":"Multi-Output Robust and Conjugate Gaussian Processes","created":"2025-10-30","cited_by_count":2,"area":null},{"id":"2605.26990","title":"Constrained Bayesian Experimental Design via Online Planning","created":"2026-05-26","cited_by_count":2,"area":null},{"id":"2402.14402","title":"Global Safe Sequential Learning via Efficient Knowledge Transfer","created":"2024-02-22","cited_by_count":1,"area":null},{"id":"2405.10581","title":"Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes","created":"2024-05-17","cited_by_count":1,"area":null},{"id":"2402.15347","title":"Information-Theoretic Safe Bayesian Optimization","created":"2024-02-23","cited_by_count":0,"area":null},{"id":"2407.17992","title":"Amortized Active Learning for Nonparametric Functions","created":"2024-07-25","cited_by_count":0,"area":null},{"id":"2408.01861","title":"Batch Active Learning in Gaussian Process Regression using Derivatives","created":"2024-08-03","cited_by_count":0,"area":null},{"id":"2408.06257","title":"Reciprocal Learning","created":"2024-08-12","cited_by_count":0,"area":null},{"id":"2412.02484","title":"Vector Optimization with Gaussian Process Bandits","created":"2024-12-03","cited_by_count":0,"area":null}],"next_cursor":null}