{"total":14,"rows":[{"id":"2301.13371","title":"Demystifying Disagreement-on-the-Line in High Dimensions","created":"2023-01-31","cited_by_count":12,"area":null},{"id":"2310.04357","title":"Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning","created":"2023-10-06","cited_by_count":11,"area":null},{"id":"2406.11151","title":"Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning","created":"2024-06-17","cited_by_count":11,"area":null},{"id":"2305.18496","title":"Generalized equivalences between subsampling and ridge regularization","created":"2023-05-29","cited_by_count":10,"area":null},{"id":"2208.03848","title":"Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality","created":"2022-08-08","cited_by_count":9,"area":null},{"id":"2103.05621","title":"The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression","created":"2021-03-09","cited_by_count":6,"area":null},{"id":"2110.10956","title":"Data splitting improves statistical performance in overparametrized regimes","created":"2021-10-21","cited_by_count":6,"area":null},{"id":"2202.09885","title":"On Optimal Early Stopping: Over-informative versus Under-informative Parametrization","created":"2022-02-20","cited_by_count":4,"area":null},{"id":"2306.15915","title":"Transfer Learning with Random Coefficient Ridge Regression","created":"2023-06-28","cited_by_count":2,"area":null},{"id":"2501.02411","title":"Transfer learning via Regularized Linear Discriminant Analysis","created":"2025-01-05","cited_by_count":1,"area":null},{"id":"2110.01595","title":"Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients","created":"2021-10-04","cited_by_count":0,"area":null},{"id":"2210.11562","title":"Local SGD in Overparameterized Linear Regression","created":"2022-10-20","cited_by_count":0,"area":null},{"id":"2306.08432","title":"Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression","created":"2023-06-14","cited_by_count":0,"area":null},{"id":"2602.16531","title":"Transfer Learning of Linear Regression with Multiple Pretrained Models: Benefiting from More Pretrained Models via Overparameterization Debiasing","created":"2026-02-18","cited_by_count":0,"area":null}],"next_cursor":null}