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Alina Ene

34 papers hereh-index 181k citations47 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author19
  • middle author11
  • last author1

Across the 31 of 34 papers where every author was matched, so the position is known.

fields
  • cs.DS20
  • cs.LG8
  • math.OC6
same name
  • Alina Ene — 6 papers, h 11
  • Alina Ene — 6 papers, h 6
  • Alina Ene — 2 papers, h 2
  • Alina Ene — 1 paper, h 2
  • Alina Ene — 1 paper, h 3
  • Alina Ene — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedA Reduction for Optimizing Lattice Submodular Functions with Diminishing Returns

16 citations · 77 across the 28 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.DS2026

Gap-free Differentially Private PCA for Gaussian Data

Alina Ene, Huy L. Nguyen

We give a gap-free (ε,δ)-differentially private algorithm for the principal component analysis (PCA) problem with Gaussian data. The algorithm is based on a private variant of th…

cs.DS2026

Efficient Algorithms for Influence Maximization in General Models and Observed Cascades

Fabian Spaeh, Themistoklis Haris, Alina Ene +1

We study influence maximization in general stochastic models, the observed cascades model, and the independent cascade (IC) model. For general stochastic models with only black-box…

cs.DS2026

Solving Positive Linear Programs with Differential Privacy

Alina Ene, Huy Le Nguyen, Ta Duy Nguyen +1

We study differentially private approximation algorithms for positive linear programs (LPs with nonnegative coefficients and variables), focusing on the fundamental families of pac…

cs.DS2026

Adaptive Power Iteration Method for Differentially Private PCA

Ta Duy Nguyen, Alina Ene, Huy Le Nguyen

We study (ε,δ)-differentially private algorithms for the problem of approximately computing the top singular vector of a matrix A∈Rn×d where each…

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