← Authors

Alina Ene

18 papers · 2015–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (8) πŸ—ΊοΈ Taxonomy Completionist (23) 🀝 Dynamic Duo (12) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (68) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (18) ⚑ Prolific Year (5)

Conferences

ICML (9) AAAI (4) NIPS (4) ICLR (1)

Top co-authors

Huy Nguyen (12) Ta Duy Nguyen (6) Zijian Liu (3) Adrian Vladu (3) Huy L. Nguyen (2) Thien Hang Nguyen (1) Justin Ward (1) Peilin Zhong (1) Vahab Mirrokni (1) Rafael Barbosa (1)

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 $\ell_∞$ 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