Subhojyoti Mukherjee

My research interests span the areas of Machine Learning, Reinforcement Learning, Online Optimization, and Recommender Systems. I work in the area of stochastic and non-stochastic Multi-armed Bandits (MAB). MABs find natural application in a lot of real-world scenarios where interactive learning is present between users and system. In recent years, MABs have been increasingly gaining attention in a number of inter-disciplinary areas such as online education, online medical/health recommendation, online advertising, worker productivity management, and several other interesting industrial applications. I focus on theoretical guarantees of MAB policies so that better policies with safer outcomes can be guaranteed with high probability.

Graduate Student

he/him

Location: 330 North Orchard Street, Room 3135E-1
Education:
PhD, Electrical and Computer Engineering, University of Wisconsin–Madison (in progress)
MS, Computer Science, Indian Institute of Technology Madras
BTech, Computer Science, West Bengal University of Technology

 

Multi-Armed Bandits and its various applications in real-life scenarios

My research interests span the areas of Machine Learning, Reinforcement Learning, Online Optimization, and Recommender Systems. I work in the area of stochastic and non-stochastic Multi-armed Bandits (MAB). MABs find natural application in a lot of real-world scenarios where interactive learning is present between users and system. In recent years, MABs have been increasingly gaining attention in a number of inter-disciplinary areas such as online education, online medical/health recommendation, online advertising, worker productivity management, and several other interesting industrial applications. I focus on theoretical guarantees of MAB policies so that better policies with safer outcomes can be guaranteed with high probability.

Nowak Group