4 papers
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions
Prashanth L. A., Krishna Jagannathan, Ravi Kumar Kolla
Conditional Value-at-Risk (CVaR) is a widely used risk metric in applications such as finance. We derive concentration bounds for CVaR estimates, considering separately the cases o…
Concentration bounds for empirical conditional value-at-risk: The unbounded case
Ravi Kumar Kolla, Prashanth L. A., Sanjay P. Bhat +1
In several real-world applications involving decision making under uncertainty, the traditional expected value objective may not be suitable, as it may be necessary to control loss…
Bandit algorithms to emulate human decision making using probabilistic distortions
Ravi Kumar Kolla, Prashanth L. A., Aditya Gopalan +3
Motivated by models of human decision making proposed to explain commonly observed deviations from conventional expected value preferences, we formulate two stochastic multi-armed…
Collaborative Learning of Stochastic Bandits over a Social Network
Ravi Kumar Kolla, Krishna Jagannathan, Aditya Gopalan
We consider a collaborative online learning paradigm, wherein a group of agents connected through a social network are engaged in playing a stochastic multi-armed bandit game. Each…