114 citations · 381 across the 40 of their papers we have counts for
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cs.LG2017★ 35 cited
Multi-objective Contextual Multi-armed Bandit with a Dominant Objective
Cem Tekin, Eralp Turgay
In this paper, we propose a new multi-objective contextual multi-armed bandit (MAB) problem with two objectives, where one of the objectives dominates the other objective. Unlike s…
cs.LG2017★ 2 cited
Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms: A Case with Bounded Regret
A. Ömer Sarıtaç, Cem Tekin
In this paper, we study the combinatorial multi-armed bandit problem (CMAB) with probabilistically triggered arms (PTAs). Under the assumption that the arm triggering probabilities…
cs.LG2017★ 37 cited
Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing
Sabrina Klos, Cem Tekin, Mihaela van der Schaar +1
In mobile crowdsourcing (MCS), mobile users accomplish outsourced human intelligence tasks. MCS requires an appropriate task assignment strategy, since different workers may have d…