H. Brendan McMahan
12 papers · 2008–2023 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🏃 Academic Marathon (15) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(6)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(15)
💎
Century Club
(12)
🚀
Conference Pioneer
📈
Trend Setter
Conferences
NIPS (4)
COLT (2)
ICLR (2)
JMLR (2)
CVPR (1)
ICML (1)
Top co-authors
Research topics
Keywords
differential privacy
(4)
federated learning
(4)
regret bound
(3)
matrix factorization
(2)
privacy amplification
(2)
online learning
(1)
mean estimation
(1)
robust optimization
(1)
distributed learning
(1)
dual averaging
(1)
stochastic gradient descent
(1)
adaptive learning
(1)
hilbert space
(1)
gradient descent
(1)
sensor placement
(1)
convex optimization
(1)
experimental design
(1)
active selection
(1)
gaussian process regression
(1)
binary classification
(1)
Papers
Learning To Generate Image Embeddings With User-Level Differential Privacy
CVPR 2023
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
NIPS 2023
Unleashing the Power of Randomization in Auditing Differentially Private ML
NIPS 2023
(Amplified) Banded Matrix Factorization: A unified approach to private training
NIPS 2023
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
NIPS 2022
Generative Models for Effective ML on Private, Decentralized Datasets
ICLR 2020
Learning Differentially Private Recurrent Language Models
ICLR 2018
Distributed Mean Estimation with Limited Communication
ICML 2017
A survey of Algorithms and Analysis for Adaptive Online Learning
JMLR 2017
Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations
COLT 2014
Open Problem: Better Bounds for Online Logistic Regression
COLT 2012
Robust Submodular Observation Selection
JMLR 2008