Michael Menart
7 papers · 2021–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (10) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10)
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Keyword Pioneer
Conferences
NIPS (4)
ALT (1)
COLT (1)
ICML (1)
Top co-authors
Research topics
Keywords
differential privacy
(6)
stochastic optimization
(3)
generalized linear model
(3)
non-convex optimization
(2)
excess population risk
(2)
supervised learning
(1)
minimax optimization
(1)
empirical risk minimization
(1)
convex loss
(1)
stochastic convex optimization
(1)
convergence rate
(1)
stationary point
(1)
public datum
(1)
lower bound
(1)
generalization guarantee
(1)
population risk
(1)
saddle point
(1)
kurdyka-lojasiewicz condition
(1)
variance reduced gradient
(1)
private optimization
(1)
Papers
Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
NIPS 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations
NIPS 2024
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates
ALT 2024
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
ICML 2023
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap
COLT 2023
Differentially Private Generalized Linear Models Revisited
NIPS 2022
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
NIPS 2021