6 citations · 10 across the 5 of their papers we have counts for
5 papers
Optimal Tracking in Prediction with Expert Advice
Hakan Gokcesu, Suleyman S. Kozat
We study the prediction with expert advice setting, where the aim is to produce a decision by combining the decisions generated by a set of experts, e.g., independently running alg…
Recursive Experts: An Efficient Optimal Mixture of Learning Systems in Dynamic Environments
Kaan Gokcesu, Hakan Gokcesu
Sequential learning systems are used in a wide variety of problems from decision making to optimization, where they provide a 'belief' (opinion) to nature, and then update this bel…
Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures
Hakan Gokcesu, Suleyman S. Kozat
We study online convex optimization under stochastic sub-gradient observation faults, where we introduce adaptive algorithms with minimax optimal regret guarantees. We specifically…
Nearly Optimal Scheduling of Wireless Ad Hoc Networks in Polynomial Time
Alper Kose, Noyan Evirgen, Hakan Gokcesu +2
In this paper, we address the scheduling problem in wireless ad hoc networks by exploiting the computational advantage that comes when such scheduling problems can be represented b…
An Asymptotically Optimal Algorithm for Communicating Multiplayer Multi-Armed Bandit Problems
Noyan Evirgen, Alper Kose, Hakan Gokcesu
We consider a decentralized stochastic multi-armed bandit problem with multiple players. Each player aims to maximize his/her own reward by pulling an arm. The arms give rewards ba…