activity
20192025
most citedMaximizing Neutrality in News Ordering

4 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

cs.GT2025

Dynamic Necklace Splitting

Rishi Advani, Abolfazl Asudeh, Mohsen Dehghankar +1

The necklace splitting problem is a classic problem in fair division with many applications, including data-informed fair hash maps. We extend necklace splitting to a dynamic setti…

cs.GT2024

Decentralized Fair Division

Joel Miller, Rishi Advani, Ian Kash +2

Fair division is typically framed from a centralized perspective. However, in practice resource allocation often occurs via decentralized networks. We study a decentralized variant…

cs.DS2023

Online Maximum Independent Set of Hyperrectangles

Rishi Advani, Abolfazl Asudeh

The maximum independent set problem is a classical NP-hard problem in theoretical computer science. In this work, we study a special case where the family of graphs considered is r…

cs.LG2023

[Experiments & Analysis] Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons

Sana Ebrahimi, Rishi Advani, Abolfazl Asudeh

The training process of neural networks is known to be time-consuming, and having a deep architecture only aggravates the issue. This process consists mostly of matrix operations,…

cs.DS2023★ 4 cited

Maximizing Neutrality in News Ordering

Rishi Advani, Paolo Papotti, Abolfazl Asudeh

The detection of fake news has received increasing attention over the past few years, but there are more subtle ways of deceiving one's audience. In addition to the content of news…

math.NA2021

Efficient Algorithms for Constructing an Interpolative Decomposition

Rishi Advani, Sean O'Hagan

Low-rank approximations are essential in modern data science. The interpolative decomposition provides one such approximation. Its distinguishing feature is that it reuses columns…

math.NA2020★ 1 cited

Random Projections and Dimension Reduction

Rishi Advani, Madison Crim, Sean O'Hagan

This paper, broadly speaking, covers the use of randomness in two main areas: low-rank approximation and kernel methods. Low-rank approximation is very important in numerical linea…

math.CO2019

On the Prevalence of Bridge Graphs Among Non-3-Connected Cubic Non-Hamiltonian Graphs

Rishi Advani

There is empirical evidence supporting the claim that almost all cubic non-Hamiltonian graphs are bridge graphs. In this paper, we pose a related conjecture and prove that the orig…