{"total":19,"rows":[{"id":"2303.01372","title":"High-dimensional analysis of double descent for linear regression with random projections","created":"2023-03-02","cited_by_count":47,"area":null},{"id":"2309.14563","title":"Towards a statistical theory of data selection under weak supervision","created":"2023-09-25","cited_by_count":27,"area":null},{"id":"2111.05326","title":"The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning","created":"2021-11-09","cited_by_count":23,"area":null},{"id":"2111.08190","title":"Learning Augmentation Distributions using Transformed Risk Minimization","created":"2021-11-16","cited_by_count":13,"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":"2302.01088","title":"Sketched Ridgeless Linear Regression: The Role of Downsampling","created":"2023-02-02","cited_by_count":7,"area":null},{"id":"2407.06120","title":"Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning","created":"2024-07-08","cited_by_count":5,"area":null},{"id":"2309.03354","title":"Ensemble linear interpolators: The role of ensembling","created":"2023-09-06","cited_by_count":3,"area":null},{"id":"2405.05343","title":"Distributed Least Squares in Small Space via Sketching and Bias Reduction","created":"2024-05-08","cited_by_count":3,"area":null},{"id":"2410.06364","title":"Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation","created":"2024-10-08","cited_by_count":3,"area":null},{"id":"2211.05749","title":"Linear Discriminant Analysis with the Randomized Kaczmarz Method","created":"2022-11-10","cited_by_count":1,"area":null},{"id":"2111.06302","title":"On Recovering the Best Rank-r Approximation from Few Entries","created":"2021-11-11","cited_by_count":0,"area":null},{"id":"2305.17435","title":"On the Noise Sensitivity of the Randomized SVD","created":"2023-05-27","cited_by_count":0,"area":null},{"id":"2311.01806","title":"Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees","created":"2023-11-03","cited_by_count":0,"area":null},{"id":"2409.04994","title":"Learning nonnegative matrix factorizations from compressed data","created":"2024-09-08","cited_by_count":0,"area":null},{"id":"2411.05771","title":"Equivariant Test-Time Training with Operator Sketching for Imaging Inverse Problems","created":"2024-11-08","cited_by_count":0,"area":null},{"id":"2511.19466","title":"SG-OIF: A Stability-Guided Online Influence Framework for Reliable Vision Data","created":"2025-11-21","cited_by_count":0,"area":null},{"id":"2607.25272","title":"Sequential Preconditioned Conjugate Gradient Method for Linear Statistical Models","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2610.00101","title":"Weighted Data Selection: Sharp Upper-Half and Five-Dimensional Laws","created":"2026-09-08","cited_by_count":0,"area":null}],"next_cursor":null}