25 citations · 177 across the 40 of their papers we have counts for
9 papers · 1 filter
Stochastic Linear Bandits with Protected Subspace
Advait Parulekar, Soumya Basu, Aditya Gopalan +2
We study a variant of the stochastic linear bandit problem wherein we optimize a linear objective function but rewards are accrued only orthogonal to an unknown subspace (which we…
No-regret Algorithms for Multi-task Bayesian Optimization
Sayak Ray Chowdhury, Aditya Gopalan
We consider multi-objective optimization (MOO) of an unknown vector-valued function in the non-parametric Bayesian optimization (BO) setting, with the aim being to learn points on…
Sequential Multi-hypothesis Testing in Multi-armed Bandit Problems:An Approach for Asymptotic Optimality
Gayathri R Prabhu, Srikrishna Bhashyam, Aditya Gopalan +1
We consider a multi-hypothesis testing problem involving a K-armed bandit. Each arm's signal follows a distribution from a vector exponential family. The actual parameters of the a…
Explicit Best Arm Identification in Linear Bandits Using No-Regret Learners
Mohammadi Zaki, Avi Mohan, Aditya Gopalan
We study the problem of best arm identification in linearly parameterised multi-armed bandits. Given a set of feature vectors a confidence paramet…
How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions?
Aditya Gopalan, Himanshu Tyagi
The number of confirmed cases of COVID-19 is often used as a proxy for the actual number of ground truth COVID-19 infected cases in both public discourse and policy making. However…
Throughput Optimal Decentralized Scheduling with Single-bit State Feedback for a Class of Queueing Systems
Avinash Mohan, Aditya Gopalan, Anurag Kumar
Motivated by medium access control for resource-challenged wireless Internet of Things (IoT), we consider the problem of queue scheduling with reduced queue state information. In p…