collaborators

10 papers

math.PR2026

A Heavy Traffic Theory of Matching Queues

Sushil Mahavir Varma, Siva Theja Maguluri

Motivated by emerging applications in online matching platforms and marketplaces, we study a matching queue. Customers and servers that arrive in a matching queue depart as soon as…

math.OC2026

Efficiency-Reward Trade-Off in Queues with Dynamic Arrivals

Tianze Qu, Sushil Mahavir Varma

Motivated by applications in online marketplaces such as ride-hailing platforms and payment channel networks, we study a single-server queue with state-dependent arrival control. T…

math.OC2026

Transform Method for Stochastic Processing and Matching Networks

Sushil Mahavir Varma, Prakirt Jhunjhunwala, Daniela Hurtado-Lange +1

Modern service systems, ranging from cloud data centers and ride-hailing platforms to healthcare facilities, operate at massive scales where it is important to handle congestion. Q…

stat.ML2026

Phase Transition in Convex Relaxations for Graph Alignment

Laurent Massoulié, Sushil Mahavir Varma, Louis Vassaux +1

We study the graph alignment problem for correlated Gaussian Orthogonal Ensemble (GOE) matrices, where the goal is to recover a hidden vertex permutation given two correlated symme…

cs.LG2025

Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets

Zixian Yang, Sushil Mahavir Varma, Lei Ying

We study a two-sided market, wherein, price-sensitive heterogeneous customers and servers arrive and join their respective queues. A compatible customer-server pair can then be mat…

stat.ML2025

Graph Alignment via Birkhoff Relaxation

Sushil Mahavir Varma, Irène Waldspurger, Laurent Massoulié

We consider the graph alignment problem, wherein the objective is to find a vertex correspondence between two graphs that maximizes the edge overlap. The graph alignment problem is…