{"total":15,"rows":[{"id":"2310.20447","title":"Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks","created":"2023-10-31","cited_by_count":37,"area":null},{"id":"2306.03828","title":"Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How","created":"2023-06-06","cited_by_count":18,"area":null},{"id":"2302.00441","title":"Scaling Laws for Hyperparameter Optimization","created":"2023-02-01","cited_by_count":16,"area":null},{"id":"2406.03348","title":"Position: A Call to Action for a Human-Centered AutoML Paradigm","created":"2024-06-05","cited_by_count":14,"area":null},{"id":"2410.09239","title":"Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure","created":"2024-10-11","cited_by_count":10,"area":null},{"id":"2402.09638","title":"Multi-Fidelity Methods for Optimization: A Survey","created":"2024-02-15","cited_by_count":6,"area":null},{"id":"2406.18630","title":"Improving Hyperparameter Optimization with Checkpointed Model Weights","created":"2024-06-26","cited_by_count":5,"area":null},{"id":"2305.14009","title":"Deep Pipeline Embeddings for AutoML","created":"2023-05-23","cited_by_count":2,"area":null},{"id":"2405.17918","title":"Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation","created":"2024-05-28","cited_by_count":2,"area":null},{"id":"2508.19733","title":"Tune My Adam, Please!","created":"2025-08-27","cited_by_count":2,"area":null},{"id":"2510.21379","title":"Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2409.00584","title":"FastBO: Fast HPO and NAS with Adaptive Fidelity Identification","created":"2024-09-01","cited_by_count":1,"area":null},{"id":"2501.07964","title":"Derivation of Output Correlation Inferences for Multi-Output (aka Multi-Task) Gaussian Process","created":"2025-01-14","cited_by_count":1,"area":null},{"id":"2505.23032","title":"Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2508.17283","title":"Quickly Tuning Foundation Models for Image Segmentation","created":"2025-08-24","cited_by_count":0,"area":null}],"next_cursor":null}