activity
20242026
collaborators

9 papers

cs.GT2026

Finding Representative and Approximately Efficient Committees

Dominik Peters, Rohit Vaish, Jatin Yadav

In approval-based committee voting, proportional approval voting (PAV) is a well-studied rule that combines proportional representation with Pareto efficiency. However, computing a…

cs.GT2026

Easier, but Not Easy: Nash Welfare under Lexicographic Valuations

Soumil Aggarwal, Rohit Vaish, Jatin Yadav

Maximizing Nash welfare over indivisible goods is a central problem in resource allocation. For additive valuations, the best-known approximation factor is roughly $e^{-1/e}\approx…

cs.CG2026

Hitting Axis-Parallel Segments with Weighted Points

Rajiv Raman, Siddhartha Sarkar, Jatin Yadav

We study a geometric hitting-set problem in which the input consists of a set of weighted points and a family of axis-parallel segments in the plane. The goal is to…

cs.DS2026

FPT Approximation Schemes for Min-Sum Radii and Min-Sum Diameters Clustering

Fabrizio Grandoni, Anupam Gupta, Jatin Yadav

In the classical Min-Sum Radii problem (MSR) we are given a set of points in a metric space and a positive integer . Our goal is to partition into subsets…

cs.GT2025

The Landscape of Almost Equitable Allocations

Hadi Hosseini, Vishwa Prakash HV, Aditi Sethia +1

Equitability is a fundamental notion in fair division which requires that all agents derive equal value from their allocated bundles. We study, for general (possibly non-monotone)…

cs.GT2025

Best-of-Both-Worlds Guarantees with Fairer Endings

Telikepalli Kavitha, Surya Panchapakesan, Rohit Vaish +2

We study best-of-both-worlds guarantees for the fair division of indivisible goods. Prior work has shown that under additive valuations, there always exists a randomized allocation…

cs.DS2025

Robust-Sorting and Applications to Ulam-Median

Ragesh Jaiswal, Amit Kumar, Jatin Yadav

Sorting is one of the most basic primitives in many algorithms and data analysis tasks. Comparison-based sorting algorithms, like quick-sort and merge-sort, are known to be optimal…

cs.GT2024

Approximating One-Sided and Two-Sided Nash Social Welfare With Capacities

Salil Gokhale, Harshul Sagar, Rohit Vaish +2

We study the problem of maximizing Nash social welfare, which is the geometric mean of agents' utilities, in two well-known models. The first model involves one-sided preferences,…

cs.DS2024

FPT Approximation for Capacitated Sum of Radii

Ragesh Jaiswal, Amit Kumar, Jatin Yadav

We consider the capacitated clustering problem in general metric spaces where the goal is to identify clusters and minimize the sum of the radii of the clusters (we call this t…