Ryan McKenna
10 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge π Conference Polyglot (4)
π
Academic Marathon
(8)
π
Cross-Pollinator
(15)
π
Century Club
(10)
Conferences
ICML (4)
NIPS (4)
AISTATS (1)
ICLR (1)
Top co-authors
Research topics
Keywords
differential privacy
(7)
graphical model
(3)
matrix factorization
(2)
privacy amplification
(2)
federated learning
(2)
marginal inference
(1)
exponential mechanism
(1)
correlated noise
(1)
high-dimensional datum
(1)
public datum
(1)
synthetic datum
(1)
private training
(1)
private selection
(1)
private datum
(1)
sufficient statistics
(1)
collective graphical model
(1)
query answering
(1)
privacy mechanism
(1)
quality score
(1)
consistency constraint
(1)
Papers
Scaling Laws for Differentially Private Language Models
ICML 2025
Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML
ICLR 2025
Itβs My Data Too: Private ML for Datasets with Multi-User Training Examples
ICML 2025
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data
AISTATS 2024
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
NIPS 2023
(Amplified) Banded Matrix Factorization: A unified approach to private training
NIPS 2023
Relaxed Marginal Consistency for Differentially Private Query Answering
NIPS 2021
Permute-and-Flip: A new mechanism for differentially private selection
NIPS 2020
Graphical-model based estimation and inference for differential privacy
ICML 2019
Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models
ICML 2017