Alina Ene
18 papers · 2015–2025 · 4 venues · across top CS/AI venues
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Research topics
Mathematics & Optimization
(18)
Optimization
(18)
Machine Learning
(14)
Optimization & Theory Β· Machine Learning
(11)
Deep Learning
(4)
Optimization & Theory Β· Deep Learning
(4)
Computer Science
(3)
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(3)
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(1)
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Mathematics
(1)
Keywords
convex optimization
(7)
submodular maximization
(4)
convergence rate
(3)
online algorithm
(3)
high probability convergence
(2)
stochastic gradient descent
(2)
approximation algorithm
(2)
cardinality constraint
(2)
approximation guarantee
(2)
variational inequality
(2)
streaming algorithm
(2)
stochastic optimization
(2)
adaptive gradient method
(2)
adaptive gradient
(2)
continuous optimization
(1)
constrained optimization
(1)
convergence analysis
(1)
maximum coverage
(1)
learning theory
(1)
differential privacy
(1)
Papers
Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures
ICML 2025
Online and Streaming Algorithms for Constrained k-Submodular Maximization
AAAI 2025
Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems
ICML 2024
High Probability Convergence of Stochastic Gradient Methods
ICML 2023
Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
NeurIPS 2023
Online Ad Allocation with Predictions
NeurIPS 2023
On the Convergence of AdaGrad(Norm) on R^d: Beyond Convexity, Non-Asymptotic Rate and Acceleration
ICLR 2023
On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
NeurIPS 2023
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
ICML 2022
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence
AAAI 2022
Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints
ICML 2022
Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities
AAAI 2021
Projection-Free Bandit Optimization with Privacy Guarantees
AAAI 2021
Parallel Algorithm for Non-Monotone DR-Submodular Maximization
ICML 2020
Improved Convergence for β_1 and β_β Regression via Iteratively Reweighted Least Squares
ICML 2019
Decomposable Submodular Function Minimization: Discrete and Continuous
NeurIPS 2017
Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions
ICML 2015
The Power of Randomization: Distributed Submodular Maximization on Massive Datasets
ICML 2015