4 papers
Adversarially Robust Approximate Furthest Neighbor
Kiarash Banihashem, Jeff Giliberti, Prashant Gokhale +5
We work in the adaptive query model, where one is given a point set and seeks to construct a data structure that can answer correctly and efficiently a seq…
Graph-Based Nearest-Neighbor Search without the Spread
Jeff Giliberti, Sariel Har-Peled, Jonas Sauer +1
Recent work showed how to construct nearest-neighbor graphs of linear size, on a given set of points in , such that one can answer ap…
Improved parallel derandomization via finite automata with applications
Jeff Giliberti, David G. Harris
A central approach to algorithmic derandomization is to construct probability distributions with small support that "fool" randomized algorithms, often enabling efficient parallel…
Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
Kiarash Banihashem, Jeff Giliberti, Samira Goudarzi +3
In this paper, we study the fundamental problems of maintaining the diameter and a -center clustering of a dynamic point set , where points may be insert…