21 citations · 32 across the 6 of their papers we have counts for
8 papers
Sample complexity of partition identification using multi-armed bandits
Sandeep Juneja, Subhashini Krishnasamy
Given a vector of probability distributions, or arms, each of which can be sampled independently, we consider the problem of identifying the partition to which this vector belongs…
Augmenting Max-Weight with Explicit Learning for Wireless Scheduling with Switching Costs
Subhashini Krishnasamy, Akhil P T, Ari Arapostathis +2
In small-cell wireless networks where users are connected to multiple base stations (BSs), it is often advantageous to switch off dynamically a subset of BSs to minimize energy cos…
On Learning the Rule in Single and Parallel Server Networks
Subhashini Krishnasamy, Ari Arapostathis, Ramesh Johari +1
We consider learning-based variants of the rule for scheduling in single and parallel server settings of multi-class queueing systems. In the single server setting, the …
ADWISERv2: A Plug-and-play Controller for Managing TCP Transfers in IEEE~802.11 Infrastructure WLANs with Multiple Access Points
Albert Sunny, Sumankumar Panchal, Nikhil Vidhani +5
In this paper, we present a generic plug-and-play controller that ensures fair and efficient operation of IEEE~802.11 infrastructure wireless local area networks with multiple co-c…
Learning Unknown Service Rates in Queues: A Multi-Armed Bandit Approach
Subhashini Krishnasamy, Rajat Sen, Ramesh Johari +1
Consider a queueing system consisting of multiple servers. Jobs arrive over time and enter a queue for service; the goal is to minimize the size of this queue. At each opportunity…
Detecting Sponsored Recommendations
Subhashini Krishnasamy, Rajat Sen, Sewoong Oh +1
With a vast number of items, web-pages, and news to choose from, online services and the customers both benefit tremendously from personalized recommender systems. Such systems how…