Ryan McKenna
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
5
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML. | Ryan McKenna |
| 2025 | ICML | It's My Data Too: Private ML for Datasets with Multi-User Training Examples. | Arun Ganesh, Ryan McKenna, Hugh Brendan McMahan, Adam Smith, Fan Wu |
| 2025 | ICML | Scaling Laws for Differentially Private Language Models. | Ryan McKenna, Yangsibo Huang, Amer Sinha, Borja Balle, Zachary Charles, Christopher A. Choquette-Choo, Badih Ghazi, Georgios Kaissis, Ravi Kumar, Ruibo Liu, Da Yu, Chiyuan Zhang |
| 2024 | AISTATS | Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data. | Miguel Fuentes, Brett C. Mullins, Ryan McKenna, Gerome Miklau, Daniel Sheldon |
| 2019 | ICML | Graphical-model based estimation and inference for differential privacy. | Ryan McKenna, Daniel Sheldon, Gerome Miklau |
| 2018 | SIGMOD | EKTELO: A Framework for Defining Differentially-Private Computations. | Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau |
| 2017 | ICML | Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models. | Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau |
| 2016 | CLUSTER | Machine Learning Predictions of Runtime and IO Traffic on High-End Clusters. | Ryan McKenna, Stephen Herbein, Adam Moody, Todd Gamblin, Michela Taufer |