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09/05/2023
Differentially Private Synthetic Heavy-tailed Data
The U.S. Census Longitudinal Business Database (LBD) product contains em...
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08/31/2023
Differentially Private Functional Summaries via the Independent Component Laplace Process
In this work, we propose a new mechanism for releasing differentially pr...
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03/26/2023
FAStEN: an efficient adaptive method for feature selection and estimation in high-dimensional functional regressions
Functional regression analysis is an established tool for many contempor...
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09/21/2022
Shape And Structure Preserving Differential Privacy
It is common for data structures such as images and shapes of 2D objects...
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06/09/2022
On Transfer Learning in Functional Linear Regression
This work studies the problem of transfer learning under the functional ...
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04/03/2022
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms
Implementations of the exponential mechanism in differential privacy oft...
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04/03/2022
A Formal Privacy Framework for Partially Private Data
Despite its many useful theoretical properties, differential privacy (DP...
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11/03/2021
Differential Privacy Over Riemannian Manifolds
In this work we consider the problem of releasing a differentially priva...
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07/29/2021
Modern Non-Linear Function-on-Function Regression
We introduce a new class of non-linear function-on-function regression m...
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04/19/2021
Non-linear Functional Modeling using Neural Networks
We introduce a new class of non-linear models for functional data based ...
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11/25/2020
Modern Multiple Imputation with Functional Data
This work considers the problem of fitting functional models with sparse...
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06/06/2020
An Efficient Semi-smooth Newton Augmented Lagrangian Method for Elastic Net
Feature selection is an important and active research area in statistics...
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09/30/2019
Fast and Fair Simultaneous Confidence Bands for Functional Parameters
Quantifying uncertainty using confidence regions is a central goal of st...
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05/23/2019
Adaptive Function-on-Scalar Regression with a Smoothing Elastic Net
This paper presents a new methodology, called AFSSEN, to simultaneously ...
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05/23/2019
KNG: The K-Norm Gradient Mechanism
This paper presents a new mechanism for producing sanitized statistical ...
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05/23/2019
Elliptical Perturbations for Differential Privacy
We study elliptical distributions in locally convex vector spaces, and d...
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02/19/2019
Optimal Function-on-Scalar Regression over Complex Domains
In this work we consider the problem of estimating function-on-scalar re...
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01/30/2019
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
The exponential mechanism is a fundamental tool of Differential Privacy ...
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05/22/2018
Functional Regression Models with Highly Irregular Designs
In this work we present a new approach, which we call MISFIT, to fitting...
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01/16/2018
Testing Separability of Functional Time Series
We derive and study a significance test for determining if a panel of fu...
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11/17/2017
