{"total":14,"rows":[{"id":"2304.13016","title":"Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation","created":"2023-04-25","cited_by_count":11,"area":null},{"id":"2503.00626","title":"Dissecting the Impact of Model Misspecification in Data-driven Optimization","created":"2025-03-01","cited_by_count":10,"area":null},{"id":"2303.02732","title":"Iterative Approximate Cross-Validation","created":"2023-03-05","cited_by_count":7,"area":null},{"id":"2302.13511","title":"Extrapolated cross-validation for randomized ensembles","created":"2023-02-27","cited_by_count":4,"area":null},{"id":"2305.19694","title":"Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability","created":"2023-05-31","cited_by_count":4,"area":null},{"id":"2306.10081","title":"Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization","created":"2023-06-16","cited_by_count":4,"area":null},{"id":"2402.16793","title":"Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent","created":"2024-02-26","cited_by_count":4,"area":null},{"id":"2507.11895","title":"Newfluence: Boosting Model interpretability and Understanding in High Dimensions","created":"2025-07-16","cited_by_count":2,"area":null},{"id":"2305.10114","title":"Automatic Hyperparameter Tuning in Sparse Matrix Factorization","created":"2023-05-17","cited_by_count":1,"area":null},{"id":"2501.02624","title":"Simultaneous analysis of approximate leave-one-out cross-validation and mean-field inference","created":"2025-01-05","cited_by_count":1,"area":null},{"id":"2309.15769","title":"Benign overfitting beyond prediction: The ordinary least squares interpolator","created":"2023-09-27","cited_by_count":0,"area":null},{"id":"2408.03138","title":"Predictive Performance Test based on the Exhaustive Nested Cross-Validation for High-dimensional data","created":"2024-08-06","cited_by_count":0,"area":null},{"id":"2508.14368","title":"Evaluation and Optimization of Leave-one-out Cross-validation for the Lasso","created":"2025-08-20","cited_by_count":0,"area":null},{"id":"2608.02483","title":"Fermat Active Laplace Learning for Semi-Supervised Hyperspectral Image Classification","created":"2026-08-03","cited_by_count":0,"area":null}],"next_cursor":null}