Michael Menart
8 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Keywords
differential privacy
(7)
generalized linear model
(3)
stochastic optimization
(3)
non-convex optimization
(2)
excess population risk
(2)
supervised learning
(1)
minimax optimization
(1)
recursive regularization
(1)
empirical risk minimization
(1)
convex loss
(1)
excess risk
(1)
oracle complexity
(1)
stochastic convex optimization
(1)
convergence rate
(1)
stationary point
(1)
public data
(1)
lower bound
(1)
generalization guarantee
(1)
population risk
(1)
saddle point
(1)
Papers
On the Gradient Complexity of Private Optimization with Private Oracles
COLT 2026
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates
ALT 2024
Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
NeurIPS 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations
NeurIPS 2024
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap
COLT 2023
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
ICML 2023
Differentially Private Generalized Linear Models Revisited
NeurIPS 2022
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
NeurIPS 2021