7 citations · 18 across the 16 of their papers we have counts for
4 papers · 1 filter
Online Algorithm for Unsupervised Sequential Selection with Contextual Information
Arun Verma, Manjesh K. Hanawal, Csaba Szepesvári +1
In this paper, we study Contextual Unsupervised Sequential Selection (USS), a new variant of the stochastic contextual bandits problem where the loss of an arm cannot be inferred f…
Thompson Sampling for Unsupervised Sequential Selection
Arun Verma, Manjesh K. Hanawal, Nandyala Hemachandra
Thompson Sampling has generated significant interest due to its better empirical performance than upper confidence bound based algorithms. In this paper, we study Thompson Sampling…
Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach
Arun Verma, Manjesh K. Hanawal
In this paper, we study a novel Stochastic Network Utility Maximization (NUM) problem where the utilities of agents are unknown. The utility of each agent depends on the amount of…
Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach
Debamita Ghosh, Arun Verma, Manjesh K. Hanawal
Recent advances in wireless radio frequency (RF) energy harvesting allows sensor nodes to increase their lifespan by remotely charging their batteries. The amount of energy harvest…