{"total":13,"rows":[{"id":"2402.09483","title":"Oracle-Efficient Differentially Private Learning with Public Data","created":"2024-02-13","cited_by_count":6,"area":null},{"id":"2403.03856","title":"Public-data Assisted Private Stochastic Optimization: Power and Limitations","created":"2024-03-06","cited_by_count":6,"area":null},{"id":"2309.03847","title":"Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples","created":"2023-09-07","cited_by_count":5,"area":null},{"id":"2409.17932","title":"Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses","created":"2024-09-26","cited_by_count":4,"area":null},{"id":"2312.05645","title":"Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity","created":"2023-12-09","cited_by_count":3,"area":null},{"id":"2406.15916","title":"Credit Attribution and Stable Compression","created":"2024-06-22","cited_by_count":3,"area":null},{"id":"2411.08791","title":"Locally Private Sampling with Public Data","created":"2024-11-13","cited_by_count":3,"area":null},{"id":"2406.08039","title":"Differentially Private Prototypes for Imbalanced Transfer Learning","created":"2024-06-12","cited_by_count":2,"area":null},{"id":"2407.04783","title":"Agnostic Private Density Estimation for GMMs via List Global Stability","created":"2024-07-05","cited_by_count":2,"area":null},{"id":"2510.17451","title":"The Parameterized Complexity of Computing the VC-Dimension","created":"2025-10-20","cited_by_count":2,"area":null},{"id":"2503.01766","title":"Optimal Differentially Private Sampling of Unbounded Gaussians","created":"2025-03-03","cited_by_count":1,"area":null},{"id":"2411.02298","title":"Sample-Efficient Private Learning of Mixtures of Gaussians","created":"2024-11-04","cited_by_count":0,"area":null},{"id":"2506.06613","title":"Robust Learnability of Sample-Compressible Distributions under Noisy or Adversarial Perturbations","created":"2025-06-07","cited_by_count":0,"area":null}],"next_cursor":null}