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1
Topics in Privacy, Data Privacy and Differential Privacy
Topics in Privacy, Data Privacy and Differential Privacy
Bailie, James. | Harvard University | 2025
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2
On Representations of Differential Equations for State Space Statistical Forecasting
On Representations of Differential Equations for State Space Statistical Forecasting
Naumer, Helmuth. | University of Illinois at Urbana-Champaign | 2024
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3
Differentially Private Algorithmic Design: Private Bandits, Counting and Histograms
Differentially Private Algorithmic Design: Private Bandits, Counting and Histograms
Ou, Tingting. | Columbia University | 2025
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4
Integral Operators in the Complex Domain and Analytic Regularity for Differential Operators of Principal Type
Integral Operators in the Complex Domain and Analytic Regularity for Differential Operators of Principal Type
Johnson, Reid Camden. | University of California, Los Angeles | 2025
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5
An Adaptive Global-Local Generalized Finite Element Method for Transient Partial Differential Equations
An Adaptive Global-Local Generalized Finite Element Method for Transient Partial Differential Equations
He, Lishen. | University of Illinois at Urbana-Champaign | 2023
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6
Neural Dynamics for Science: The Symbiosis of Deep Graph Learning and Differential Equations
Neural Dynamics for Science: The Symbiosis of Deep Graph Learning and Differential Equations
Huang, Zijie. | University of California, Los Angeles | 2024
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7
Making Differential Privacy Usable Through Human-Centered Tools
Making Differential Privacy Usable Through Human-Centered Tools
Nanayakkara, Priyanka. | Northwestern University | 2024
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8
Differential Item Functioning on the Parental Burnout Assessment
Differential Item Functioning on the Parental Burnout Assessment
Holiday, Derek Tyler. | University of California, Berkeley | 2024
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9
Modeling Intensively Measured, Longitudinal, and Multidimensional Item Responses: Capturing Continuous-Time Latent Change Processes via Neural Stochastic Differential Equations
Modeling Intensively Measured, Longitudinal, and Multidimensional Item Responses: Capturing Continuous-Time Latent Change Processes via Neural Stochastic Differential Equations
Urban, Christopher J. | The University of North Carolina at Chapel Hill | 2024
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10
Effectively Learning From Data and Generating Data in Differentially Private Machine Learning
Effectively Learning From Data and Generating Data in Differentially Private Machine Learning
Tang, Xinyu. | Princeton University | 2024
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