Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Yasodharan, Sarath"'
Autor:
Ramanan, Kavita, Yasodharan, Sarath
We consider (annealed) large deviation principles for component empirical measures of several families of marked sparse random graphs, including (i) uniform graphs on $n$ vertices with a fixed degree distribution; (ii) uniform graphs on $n$ vertices
Externí odkaz:
http://arxiv.org/abs/2312.16103
Autor:
Yasodharan, Sarath, Sundaresan, Rajesh
Publikováno v:
Adv. Appl. Probab. 56 (2024) 960-1003
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 asymptotics. The Freidlin-Wentzell quasipotential is the usual candidate ra
Externí odkaz:
http://arxiv.org/abs/2110.12640
Autor:
Yasodharan, Sarath, Sundaresan, Rajesh
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 levels of fixed-points in mean-field interacting particle systems. Th
Externí odkaz:
http://arxiv.org/abs/2106.02807
Autor:
Athreya, Siva, Babu, Giridhara R., Iyer, Aniruddha, S., Mohammed Minhaas B., Rathod, Nihesh, Shriram, Sharad, Sundaresan, Rajesh, Vaidhiyan, Nidhin Koshy, Yasodharan, Sarath
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 a given budget of $C$ rupees, a specified set of tests with costs, sen
Externí odkaz:
http://arxiv.org/abs/2012.12135
Autor:
Yasodharan, Sarath, Sundaresan, Rajesh
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 evolves in the slow time scale and the random environment evolves in t
Externí odkaz:
http://arxiv.org/abs/2008.06855
Autor:
Agrawal, Shubhada, Bhandari, Siddharth, Bhattacharjee, Anirban, Deo, Anand, Dixit, Narendra M., Harsha, Prahladh, Juneja, Sandeep, Kesarwani, Poonam, Swamy, Aditya Krishna, Patil, Preetam, Rathod, Nihesh, Saptharishi, Ramprasad, Shriram, Sharad, Srivastava, Piyush, Sundaresan, Rajesh, Vaidhiyan, Nidhin Koshy, Yasodharan, Sarath
Publikováno v:
Journal of the Indian Institute of Science, volume 100, pages 809-847, 2020
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 context of the COVID-19 pandemic and demonstrate the power of the simul
Externí odkaz:
http://arxiv.org/abs/2008.04849
Autor:
Yasodharan, Sarath, Loiseau, Patrick
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 that these games admit mixed strategy Nash equilibria, and then we exa
Externí odkaz:
http://arxiv.org/abs/1909.13031
Autor:
Karthik, P.N., Rathod, Nihesh, Yasodharan, Sarath, Lobo, Wilson, Sahadevan, Ajeesh, Sundaresan, Rajesh, Verma, Pratik
Publikováno v:
In Transport Policy August 2023 139:39-62
Autor:
Yasodharan, Sarath, Sundaresan, Rajesh
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 required for convergence of the empirical measure process of the $N$-
Externí odkaz:
http://arxiv.org/abs/1909.03805
Autor:
Yasodharan, Sarath, Sundaresan, Rajesh
Publikováno v:
Advances in Applied Probability; Sep2024, Vol. 56 Issue 3, p960-1003, 44p