Showing 1–19 of 19 results
/ Date/ Name
Jul 25, 2012Determinantal point processes for machine learningAug 14, 2024Practical Considerations for Differential PrivacyJan 27, 2022Plume: Differential Privacy at ScaleFeb 16, 2021Differentially Private QuantilesFeb 23, 2021Learning with User-Level PrivacyJun 30, 2015Socio-Spatial Pareto Frontiers of Twitter NetworksJul 15, 2010Empirical Limitations on High Frequency Trading ProfitabilityNov 4, 2014Expectation-Maximization for Learning Determinantal Point ProcessesNov 23, 2014Diversifying Sparsity Using Variational Determinantal Point ProcessesMar 1, 2023Subset-Based Instance Optimality in Private EstimationJul 1, 2015Information Extraction from Larger Multi-layer Social NetworksFeb 21, 2025Approximate Differential Privacy of the $\ell_2$ MechanismFeb 11, 2026AI-rithmeticDec 11, 2023Mean estimation in the add-remove model of differential privacyFeb 14, 2012Learning Determinantal Point ProcessesOct 16, 2012Markov Determinantal Point ProcessesOct 29, 2021Combining Public and Private DataSep 20, 2013Multi-layer graph analysis for dynamic social networksApr 9, 2014Social Collaborative Retrieval