activity
20122025
most citedDiffusion models and steady-state approximations for exponentially ergodic Markovian queues

47 citations · 73 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IT2025

Goggin's corrected Kalman Filter: Guarantees and Filtering Regimes

Imon Banerjee, Itai Gurvich

In this paper we revisit a non-linear filter for {\em non-Gaussian} noises that was introduced in [1]. Goggin proved that transforming the observations by the score function and th…

math.OC2023

A Hierarchical Approach to Robust Stability of Multiclass Queueing Networks

Feiyang Zhao, Itai Gurvich, John Hasenbein

We re-visit the global - relative to control policies - stability of multiclass queueing networks. In these, as is known, it is generally insufficient that the nominal utilization…

math.OC2020

A Low-rank Approximation for MDPs via Moment Coupling

Amy B. Z. Zhang, Itai Gurvich

We introduce a framework to approximate a Markov Decision Process that stands on two pillars: state aggregation -- as the algorithmic infrastructure; and central-limit-theorem-type…

math.PR2014★ 47 cited

Diffusion models and steady-state approximations for exponentially ergodic Markovian queues

Itai Gurvich

Motivated by queues with many servers, we study Brownian steady-state approximations for continuous time Markov chains (CTMCs). Our approximations are based on diffusion models (ra…

math.PR2014★ 14 cited

Scheduling parallel servers in the nondegenerate slowdown diffusion regime: Asymptotic optimality results

Rami Atar, Itai Gurvich

We consider the problem of minimizing queue-length costs in a system with heterogenous parallel servers, operating in a many-server heavy-traffic regime with nondegenerate slowdown…

math.PR2012★ 12 cited

On optimality gaps in the Halfin--Whitt regime

Baris Ata, Itai Gurvich

We consider optimal control of a multi-class queue in the Halfin--Whitt regime, and revisit the notion of asymptotic optimality and the associated optimality gaps. The existing res…