3 papers
cs.LG2026
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.…
eess.SP2026
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…
cs.LG2026
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…