4 papers
A Recommendation System Approach for Interference-Robust Sensor Subset Selection
Kaan Buyukkalayci, Kyle Pak, Merve Karakas +1
This paper develops a method for sensor-subset selection for tracking. Prior work showed that low-cost acoustic Received Signal Strength Indicator (RSSI) measurements can be used t…
Top-P Sensor Selection for Target Localization
Kaan Buyukkalayci, Kyle Pak, Merve Karakas +2
We study set-valued decision rules in which performance is defined by the inclusion of the top- hypotheses, rather than only the single best or true hypothesis. This criterion i…
Mixing Makes Markovian Contexts Cheap for Linear Bandits
Kaan Buyukkalayci, Osama Hanna, Christina Fragouli
Recent work shows that when contexts are drawn i.i.d., linear contextual bandits can be reduced to single-context linear bandits. This ``contexts are cheap'' perspective is highly…
Enhancing Binary Search via Overlapping Partitions
Kaan Buyukkalayci, Merve Karakas, Xinlin Li +1
This paper considers the task of performing binary search under noisy decisions, focusing on the application of target area localization. In the presence of noise, the classical pa…