33 citations · 76 across the 19 of their papers we have counts for
23 papers
Efficient Clustering in Stochastic Bandits
G Dhinesh Chandran, Kota Srinivas Reddy, Srikrishna Bhashyam
We study the Bandit Clustering (BC) problem under the fixed confidence setting, where the objective is to group a collection of data sequences (arms) into clusters through sequenti…
Sequential Spectral Clustering of Data Sequences
G Dhinesh Chandran, Kota Srinivas Reddy, Srikrishna Bhashyam
We study the problem of non-parametric clustering of data sequences, where each data sequence comprises independent and identically distributed (i.i.d.) samples generated from an u…
Online Clustering of Data Sequences with Bandit Information
G Dhinesh Chandran, Srinivas Reddy Kota, Srikrishna Bhashyam
We study the problem of online clustering of data sequences in the multi-armed bandit (MAB) framework under the fixed-confidence setting. There are arms, each providing i.i.d.…
Simultaneous Communication and Tracking using Fused Bistatic Measurements
Avinash M, Srikrishna Bhashyam
In this paper, we propose a bistatic sensing-assisted beam tracking method for simultaneous communication and tracking of user vehicles navigating arbitrary-shaped road trajectorie…
Exponentially Consistent Nonparametric Linkage-Based Clustering of Data Sequences
Bhupender Singh, Ananth Ram Rajagopalan, Srikrishna Bhashyam
In this paper, we consider nonparametric clustering of independent and identically distributed (i.i.d.) data sequences generated from {\em unknown} distributions. The distribut…
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…