Alina Ene
18 papers · 2015–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Conference Polyglot (4) π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (8)
π
Cross-Pollinator
(8)
πΊοΈ
Taxonomy Completionist
(23)
π€
Dynamic Duo
(12)
π
Triple Crown
π
Grand Slam
ποΈ
Keyword Collector
(68)
π₯
Unstoppable
(7)
π
Century Club
(18)
β‘
Prolific Year
(5)
Conferences
ICML (9)
AAAI (4)
NIPS (4)
ICLR (1)
Top co-authors
Keywords
convex optimization
(6)
submodular maximization
(4)
online algorithm
(3)
cardinality constraint
(2)
approximation algorithm
(2)
stochastic gradient descent
(2)
high probability convergence
(2)
convergence rate
(2)
adaptive gradient
(2)
variational inequality
(2)
streaming algorithm
(2)
approximation guarantee
(2)
discrete optimization
(1)
continuous optimization
(1)
constrained optimization
(1)
convergence analysis
(1)
learning theory
(1)
differential privacy
(1)
markov chain
(1)
stochastic gradient
(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
On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
NIPS 2023
High Probability Convergence of Stochastic Gradient Methods
ICML 2023
Online Ad Allocation with Predictions
NIPS 2023
Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
NIPS 2023
On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration
ICLR 2023
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence
AAAI 2022
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
ICML 2022
Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints
ICML 2022
Projection-Free Bandit Optimization with Privacy Guarantees
AAAI 2021
Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities
AAAI 2021
Parallel Algorithm for Non-Monotone DR-Submodular Maximization
ICML 2020
Improved Convergence for $\ell_1$ and $\ell_β$ Regression via Iteratively Reweighted Least Squares
ICML 2019
Decomposable Submodular Function Minimization: Discrete and Continuous
NIPS 2017
The Power of Randomization: Distributed Submodular Maximization on Massive Datasets
ICML 2015
Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions
ICML 2015