Cover Image

Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vishwanath, Siddharth, Hehir, Jonathan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Statistics Theory 68P27, 62H22, 62C20, 62R07
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Cost of Adaptation under Differential Privacy: Optimal Adaptive Federated Density Estimation
by: Cai, T. Tony, et al.
Published: (2025)

Confidence Sets for Multidimensional Scaling
by: Vishwanath, Siddharth, et al.
Published: (2025)

Minimax Optimality of Classical Scaling Under General Noise Conditions
by: Vishwanath, Siddharth, et al.
Published: (2025)

Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints
by: Cai, T. Tony, et al.
Published: (2024)

Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests
by: Cai, T. Tony, et al.
Published: (2024)

Infinite-Dimensional Spherical Kernel ridge Regression
by: Matteo, Beatrice, et al.
Published: (2026)

Estimation of Directed Acyclic Graphs by Frequentist Model Averaging
by: Liu, Huihang, et al.
Published: (2026)

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints
by: Cai, Tony, et al.
Published: (2024)

Differentially private testing for relevant dependencies in high dimensions
by: Bastian, Patrick, et al.
Published: (2025)

Leveraging Imperfection with MEDLEY A Multi-Model Approach Harnessing Bias in Medical AI
by: Abtahi, Farhad, et al.
Published: (2025)

gcor: A Python Implementation of Categorical Gini Correlation and Its Inference
by: Hewage, Sameera
Published: (2025)

Colored Gaussian directed acyclic graphical models
by: Boege, Tobias, et al.
Published: (2024)

Two approaches to multiple canonical correlation analysis for repeated measures data
by: Górecki, Tomasz, et al.
Published: (2025)

Hyperplane Representations of Interventional Characteristic Imset Polytopes
by: Hollering, Benjamin, et al.
Published: (2024)

A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study
by: Aich, Agnideep, et al.
Published: (2025)

Location and association measures for interval-valued data based on Mallows' distance
by: Oliveira, M. Rosário, et al.
Published: (2024)

Bridging Human Cognition and AI: A Framework for Explainable Decision-Making Systems
by: Jean, N., et al.
Published: (2025)

On the Benefits of Accelerated Optimization in Robust and Private Estimation
by: Marchis, Laurentiu Andrei, et al.
Published: (2025)

Statistical exploration of the Manifold Hypothesis
by: Whiteley, Nick, et al.
Published: (2022)

Controlling the False Discovery Rate in Subspace Selection
by: Díaz, Mateo, et al.
Published: (2024)

Causal chain event graphs for remedial maintenance
by: Yu, Xuewen, et al.
Published: (2022)

Differentially Private Fisher Randomization Tests for Binary Outcomes
by: Sun, Qingyang, et al.
Published: (2025)

Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
by: Drton, Mathias, et al.
Published: (2025)

Estimating a density near an unknown manifold: a Bayesian nonparametric approach
by: Berenfeld, Clément, et al.
Published: (2022)

SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction
by: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Published: (2026)

Algebraic Constraints for Linear Acyclic Causal Models
by: Gigliotti, Cole, et al.
Published: (2025)

Mathematical Theory of Collinearity Effects on Machine Learning Variable Importance Measures
by: Bladen, Kelvyn K., et al.
Published: (2025)

Local Fréchet regression with toroidal predictors
by: Im, Chang Jun, et al.
Published: (2026)

How should we aggregate ratings? Accounting for personal rating scales via Wasserstein barycenters
by: Raban, Daniel
Published: (2024)

Anchored Likelihood-Ratio Geometry of Anonymous Shuffle Experiments: Exact Privacy Envelopes and Universal Low-Budget Design
by: Shvets, Alex
Published: (2026)

A Systematic Evaluation of Imbalance Handling Methods in Biomedical Binary Classification
by: Chen, Jiandong, et al.
Published: (2026)

G-Mapper: Learning a Cover in the Mapper Construction
by: Alvarado, Enrique, et al.
Published: (2023)

Graph-Informed Adversarial Modeling: Infimal Subadditivity of Interpolative Divergences
by: Birmpa, Panagiota, et al.
Published: (2026)

Testing Independence of Infinite Dimensional Random Elements: A Sup-norm Approach
by: Bhar, Suprio, et al.
Published: (2023)

Nonparametric estimation of a factorizable density using diffusion models
by: Kwon, Hyeok Kyu, et al.
Published: (2025)

Identifiability of VAR(1) model in a stationary setting
by: Liu, Bixuan
Published: (2025)

Imbalanced Classification under Capacity Constraints
by: Fraiman, Daniel, et al.
Published: (2026)

A new adaptive local polynomial density estimation procedure on complicated domains
by: Bertin, Karine, et al.
Published: (2023)

ICS for complex data with application to outlier detection for density data
by: Mondon, Camille, et al.
Published: (2025)

Wishart kernel density estimation for strongly mixing time series on the cone of positive definite matrices
by: Belzile, Léo R., et al.
Published: (2025)