Search Results for author: Sarath Yasodharan

Found 3 papers, 3 papers with code

Date Published Github Stars

COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation

1 code implementation • 22 Dec 2020 • Siva Athreya, Giridhara R. Babu, Aniruddha Iyer, Mohammed Minhaas B. S., Nihesh Rathod, Sharad Shriram, Rajesh Sundaresan, Nidhin Koshy Vaidhiyan, Sarath Yasodharan

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.

Applications Optimization and Control 62K05, 62P10

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City-Scale Agent-Based Simulators for the Study of Non-Pharmaceutical Interventions in the Context of the COVID-19 Epidemic

1 code implementation • 11 Aug 2020 • Shubhada Agrawal, Siddharth Bhandari, Anirban Bhattacharjee, Anand Deo, Narendra M. Dixit, Prahladh Harsha, Sandeep Juneja, Poonam Kesarwani, Aditya Krishna Swamy, Preetam Patil, Nihesh Rathod, Ramprasad Saptharishi, Sharad Shriram, Piyush Srivastava, Rajesh Sundaresan, Nidhin Koshy Vaidhiyan, Sarath Yasodharan

We highlight the usefulness of city-scale agent-based simulators in studying various non-pharmaceutical interventions to manage an evolving pandemic.

Populations and Evolution Other Computer Science Physics and Society Quantitative Methods

15
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Nonzero-sum Adversarial Hypothesis Testing Games

1 code implementation • NeurIPS 2019 • 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.

Classification General Classification +2

0
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