Reimherr, Matthew

15 publications

NeurIPS 2025 Co-Regularization Enhances Knowledge Transfer in High Dimensions Shuo Shuo Liu, Haotian Lin, Matthew Reimherr, Runze Li
ICLR 2025 Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation Carlos J Soto, Matthew Reimherr, Aleksandra Slavkovic, Mark Shriver
AISTATS 2025 M$^2$AD: Multi-Sensor Multi-System Anomaly Detection Through Global Scoring and Calibrated Thresholding Sarah Alnegheimish, Zelin He, Matthew Reimherr, Akash Chandrayan, Abhinav Pradhan, Luca D’Angelo
ICML 2024 On Hypothesis Transfer Learning of Functional Linear Models Haotian Lin, Matthew Reimherr
JMLR 2024 Pure Differential Privacy for Functional Summaries with a Laplace-like Process Haotian Lin, Matthew Reimherr
ICML 2024 Smoothness Adaptive Hypothesis Transfer Learning Haotian Lin, Matthew Reimherr
NeurIPSW 2024 Weakly-Supervised Multi-Sensor Anomaly Detection with Time-Series Foundation Models Zelin He, Matthew Reimherr, Sarah Alnegheimish, Akash Chandrayan
NeurIPS 2022 Shape and Structure Preserving Differential Privacy Carlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra Slavković
NeurIPS 2021 A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-on-Scalar Regression Tobia Boschi, Matthew Reimherr, Francesca Chiaromonte
NeurIPS 2021 Differential Privacy over Riemannian Manifolds Matthew Reimherr, Karthik Bharath, Carlos Soto
NeurIPS 2021 Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms Jeremy Seeman, Matthew Reimherr, Aleksandra Slavković
ICML 2019 Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA Jordan Awan, Ana Kenney, Matthew Reimherr, Aleksandra Slavković
NeurIPS 2019 Elliptical Perturbations for Differential Privacy Matthew Reimherr, Jordan Awan
ICML 2019 Formal Privacy for Functional Data with Gaussian Perturbations Ardalan Mirshani, Matthew Reimherr, Aleksandra Slavković
NeurIPS 2019 KNG: The K-Norm Gradient Mechanism Matthew Reimherr, Jordan Awan