Kelly Ramsay

According to our database, Kelly Ramsay authored at least 12 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Inheritance Between Feedforward and Convolutional Networks via Model Projection.

Nicolas Ewen, Jairo Diaz Rodriguez, Kelly Ramsay

CoRR, February, 2026

2025

Structured Output Regularization: a framework for few-shot transfer learning.

Nicolas Ewen, Jairo Diaz Rodriguez, Kelly Ramsay

CoRR, October, 2025

Differentially private scale testing via rank transformations and percentile modifications.

Joshua Levine, Kelly Ramsay

CoRR, July, 2025

Improved subsample-and-aggregate via the private modified winsorized mean.

Kelly Ramsay, Dylan Spicker

CoRR, January, 2025

An elementary concentration bound for Gibbs measures arising in statistical learning theory.

Kelly Ramsay, Aukosh Jagannath, Shoja'eddin Chenouri

Trans. Mach. Learn. Res., 2025

Differentially Private Multivariate Medians.

Kelly Ramsay, Aukosh Jagannath, Shoja'eddin Chenouri

J. Mach. Learn. Res., 2025

Differentially Private Boxplots.

Kelly Ramsay, Jairo Diaz Rodriguez

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

Differentially private projection-depth-based medians.

Kelly Ramsay, Dylan Spicker

CoRR, 2023

2022

Concentration of the exponential mechanism and differentially private multivariate medians.

Kelly Ramsay, Aukosh Jagannath, Shoja'eddin Chenouri

CoRR, 2022

2021

Robustness and asymptotics of the projection median.

Kelly Ramsay, Stephane Durocher, Alexandre Leblanc

J. Multivar. Anal., 2021

Differentially private depth functions and their associated medians.

Kelly Ramsay, Shoja'eddin Chenouri

CoRR, 2021

2019

Integrated rank-weighted depth.

Kelly Ramsay, Stephane Durocher, Alexandre Leblanc

J. Multivar. Anal., 2019