33 citations · 39 across the 7 of their papers we have counts for
9 papers
Gibbs conditioning, atypical consensus and splitting Gibbs measures on random regular graphs
I-Hsun Chen, Ivan Lee, Kavita Ramanan +1
Given n independent Bernoulli(p) random variables X_i, i = 1, ..., n, representing the opinions of individuals connected by an underlying random k-regular graph G_n on {1, ..., n},…
On the large deviation rate function for marked sparse random graphs
Kavita Ramanan, Sarath Yasodharan
We consider (annealed) large deviation principles for component empirical measures of several families of marked sparse random graphs, including (i) uniform graphs on vertices…
A sufficient condition for the quasipotential to be the rate function of the invariant measure of countable-state mean-field interacting particle systems
Sarath Yasodharan, Rajesh Sundaresan
This paper considers the family of invariant measures of Markovian mean-field interacting particle systems on a countably infinite state space and studies its large deviation asymp…
The Four Levels of Fixed-Points in Mean-Field Models
Sarath Yasodharan, Rajesh Sundaresan
The fixed-point analysis refers to the study of fixed-points that arise in the context of complex systems with many interacting entities. In this expository paper, we describe four…
COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation
Siva Athreya, Giridhara R. Babu, Aniruddha Iyer +6
We provide a methodology by which an epidemiologist may arrive at an optimal design for a survey whose goal is to estimate the disease burden in a population. For serosurveys with…
City-Scale Agent-Based Simulators for the Study of Non-Pharmaceutical Interventions in the Context of the COVID-19 Epidemic
Shubhada Agrawal, Siddharth Bhandari, Anirban Bhattacharjee +14
We highlight the usefulness of city-scale agent-based simulators in studying various non-pharmaceutical interventions to manage an evolving pandemic. We ground our studies in the c…
Large deviations of mean-field interacting particle systems in a fast varying environment
Sarath Yasodharan, Rajesh Sundaresan
This paper studies large deviations of a ``fully coupled" finite state mean-field interacting particle system in a fast varying environment. The empirical measure of the particles…
Nonzero-sum Adversarial Hypothesis Testing Games
Sarath Yasodharan, Patrick Loiseau
We study nonzero-sum hypothesis testing games that arise in the context of adversarial classification, in both the Bayesian as well as the Neyman-Pearson frameworks. We first show…
Large Time Behaviour and the Second Eigenvalue Problem for Finite State Mean-Field Interacting Particle Systems
Sarath Yasodharan, Rajesh Sundaresan
This article examines large time behaviour of finite state mean-field interacting particle systems. Our first main result is a sharp estimate (in the exponential scale) on the time…