no code implementations • 5 Oct 2021 • Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso
Institutions are increasingly relying on machine learning models to identify and alert on abnormal events, such as fraud, cyber attacks and system failures.
no code implementations • 9 Jun 2021 • Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy
We consider a problem wherein jobs arrive at random times and assume random values.
no code implementations • 26 Oct 2020 • Naftali Cohen, Simran Lamba, Prashant Reddy
Companies survey their customers to measure their satisfaction levels with the company and its services.
no code implementations • 2 Oct 2020 • Vineeth Ravi, Selim Amrouni, Andrea Stefanucci, Armineh Nourbakhsh, Prashant Reddy, Manuela Veloso
Digital reports are often created based on tedious manual analysis as well as visualization of the underlying trends and characteristics of data.
no code implementations • NeurIPS 2020 • Nelson Vadori, Sumitra Ganesh, Prashant Reddy, Manuela Veloso
Training multi-agent systems (MAS) to achieve realistic equilibria gives us a useful tool to understand and model real-world systems.
no code implementations • 23 Jun 2020 • Nelson Vadori, Sumitra Ganesh, Prashant Reddy, Manuela Veloso
We introduce a novel framework to account for sensitivity to rewards uncertainty in sequential decision-making problems.
no code implementations • 14 Apr 2020 • Chirag Nagpal, Robert E. Tillman, Prashant Reddy, Manuela Veloso
We consider the problem of aggregating predictions or measurements from a set of human forecasters, models, sensors or other instruments which may be subject to bias or miscalibration and random heteroscedastic noise.
no code implementations • 9 Apr 2020 • Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant Reddy, Manuela Veloso
Through experiments with simulated and real world scientific collaboration, transportation and global trade networks, we demonstrate that the proposed heuristics show increased performance with the richness of connection type correlation structure and significantly outperform their baseline heuristics for ordinary networks with a single connection type.
1 code implementation • 14 Nov 2019 • Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant Reddy, Manuela Veloso
Market makers play an important role in providing liquidity to markets by continuously quoting prices at which they are willing to buy and sell, and managing inventory risk.