Hilal Asi
21 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (20) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(14)
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Keyword Champion
(2)
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Renaissance Researcher
(5)
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Trend Setter
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Keyword Collector
(91)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(19)
Optimization & Theory
(17)
Application Areas
(14)
Mathematics & Optimization
(11)
Optimization
(10)
Security & Privacy
(4)
Differential Privacy
(4)
Artificial Intelligence
(3)
Core AI
(3)
Learning Types
(3)
Learning Paradigms
(2)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Core Methods
(1)
Mathematics
(1)
Keywords
differential privacy
(14)
stochastic convex optimization
(7)
mean estimation
(4)
regret bound
(3)
stochastic optimization
(3)
gradient descent
(3)
expert advice
(2)
online learning
(2)
proximal point method
(2)
user-level privacy
(2)
model-based method
(2)
principal component analysis
(2)
convex optimization
(2)
online convex optimization
(2)
local differential privacy
(2)
expert prediction
(2)
gradient estimation
(1)
privacy-preserving learning
(1)
dynamic regret
(1)
distributed learning
(1)
Papers
Faster Rates for Private Adversarial Bandits
ICML 2025
Tracking The Best Expert Privately
ICML 2025
Faster Algorithms for User-Level Private Stochastic Convex Optimization
NeurIPS 2024
Private Online Learning via Lazy Algorithms
NeurIPS 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions
NeurIPS 2024
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
ICML 2024
Universally Instance-Optimal Mechanisms for Private Statistical Estimation
COLT 2024
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates
AISTATS 2024
Fast Optimal Locally Private Mean Estimation via Random Projections
NeurIPS 2023
From Robustness to Privacy and Back
ICML 2023
Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime
ICML 2023
Private Online Prediction from Experts: Separations and Faster Rates
COLT 2023
Optimal Algorithms for Mean Estimation under Local Differential Privacy
ICML 2022
Private optimization in the interpolation regime: faster rates and hardness results
ICML 2022
Adapting to function difficulty and growth conditions in private optimization
NeurIPS 2021
Private Adaptive Gradient Methods for Convex Optimization
ICML 2021
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry
ICML 2021
Stochastic Bias-Reduced Gradient Methods
NeurIPS 2021
Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms
NeurIPS 2020
Minibatch Stochastic Approximate Proximal Point Methods
NeurIPS 2020
Modeling simple structures and geometry for better stochastic optimization algorithms
AISTATS 2019