Kelly Ramsay

12 papers A* 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Inheritance Between Feedforward and Convolutional Networks via Model Projection.
CoRR
Nicolas Ewen, Jairo Diaz Rodriguez, Kelly Ramsay
2025 J jnl
An elementary concentration bound for Gibbs measures arising in statistical learning theory.
Trans. Mach. Learn. Res.
Kelly Ramsay, Aukosh Jagannath, Shoja'eddin Chenouri
2025 A* conf
Differentially Private Boxplots.
ICML
Kelly Ramsay, Jairo Diaz Rodriguez
2025 J jnl
Differentially Private Multivariate Medians.
J. Mach. Learn. Res.
Kelly Ramsay, Aukosh Jagannath, Shoja'eddin Chenouri
2025 J jnl
Differentially private scale testing via rank transformations and percentile modifications.
CoRR
Joshua Levine, Kelly Ramsay
2025 J jnl
Improved subsample-and-aggregate via the private modified winsorized mean.
CoRR
Kelly Ramsay, Dylan Spicker
2025 J jnl
Structured Output Regularization: a framework for few-shot transfer learning.
CoRR
Nicolas Ewen, Jairo Diaz Rodriguez, Kelly Ramsay
2023 J jnl
Differentially private projection-depth-based medians.
CoRR
Kelly Ramsay, Dylan Spicker
2022 J jnl
Concentration of the exponential mechanism and differentially private multivariate medians.
CoRR
Kelly Ramsay, Aukosh Jagannath, Shoja'eddin Chenouri
2021 J jnl
Differentially private depth functions and their associated medians.
CoRR
Kelly Ramsay, Shoja'eddin Chenouri
2021 J jnl
Robustness and asymptotics of the projection median.
J. Multivar. Anal.
Kelly Ramsay, Stephane Durocher, Alexandre Leblanc
2019 J jnl
Integrated rank-weighted depth.
J. Multivar. Anal.
Kelly Ramsay, Stephane Durocher, Alexandre Leblanc