23 citations · 23 across the 2 of their papers we have counts for
3 papers
cs.LG2017
Online Learning for Structured Loss Spaces
Siddharth Barman, Aditya Gopalan, Aadirupa Saha
We consider prediction with expert advice when the loss vectors are assumed to lie in a set described by the sum of atomic norm balls. We derive a regret bound for a general versio…
cs.LG2017★ 23 cited
On Kernelized Multi-armed Bandits
Sayak Ray Chowdhury, Aditya Gopalan
We consider the stochastic bandit problem with a continuous set of arms, with the expected reward function over the arms assumed to be fixed but unknown. We provide two new Gaussia…
cs.LG2016
Optimal Recommendation to Users that React: Online Learning for a Class of POMDPs
Rahul Meshram, Aditya Gopalan, D. Manjunath
We describe and study a model for an Automated Online Recommendation System (AORS) in which a user's preferences can be time-dependent and can also depend on the history of past re…