Lorenzo Beretta
Scholar

Lorenzo Beretta

Google Scholar ID: iX8ZxJEAAAAJ
IBM
Algorithms
Citations & Impact
All-time
Citations
67
 
H-index
6
 
i10-index
3
 
Publications
13
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Selected Publications:
  • - "Approximating High-Dimensional Earth Mover's Distance as Fast as Closest Pair" (FOCS 2025)
  • - "Faster Estimation of the Average Degree of a Graph Using Random Edges and Structural Queries" (SODA 2026)
  • - "Feature Selection and Junta Testing are Statistically Equivalent" (SODA 2026)
  • - "Approximate Earth Mover's Distance in Truly-Subquadratic Time" (STOC 2024)
  • - "Better Sum Estimation via Weighted Sampling" (SODA 2022), Best Student Paper Award
  • - More publications available in the detailed list
Research Experience
  • Herman Goldstine postdoctoral fellow at IBM Cambridge, MA, hosted by Kenneth Clarkson; spent a year at UC Santa Cruz hosted by Vaggos Chatziafratis.
Education
  • PhD: BARC, University of Copenhagen, supervised by Mikkel Thorup and Mikkel Abrahamsen; Undergraduate: Scuola Normale Superiore, Pisa.
Background
  • Research interests: Designing efficient algorithms for processing large and high-dimensional datasets. Specializations: Sublinear algorithms, high-dimensional geometry.
Miscellany
  • Email: [firstname]2[lastname]@gmail.com