1 citations · 1 across the 5 of their papers we have counts for
5 papers
Accelerating Min-Max Optimization with Application to Minimal Bounding Sphere
Hakan Gokcesu, Kaan Gokcesu, Suleyman Serdar Kozat
We study the min-max optimization problem where each function contributing to the max operation is strongly-convex and smooth with bounded gradient in the search domain. By smoothi…
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…
A Deterministic Analysis of an Online Convex Mixture of Expert Algorithms
Mehmet A. Donmez, Sait Tunc, Suleyman S. Kozat
We analyze an online learning algorithm that adaptively combines outputs of two constituent algorithms (or the experts) running in parallel to model an unknown desired signal. This…
Robust Estimation in Rayleigh Fading Channels Under Bounded Channel Uncertainties
Mehmet A. Donmez, Huseyin A. Inan, Suleyman S. Kozat
We investigate channel equalization for Rayleigh fading channels under bounded channel uncertainties. We analyze three robust methods to estimate an unknown signal transmitted thro…
An Information Theoretic Analysis of Single Transceiver Passive RFID Networks
Yucel Altug, S. Serdar Kozat, M. Kivanc Mihcak
In this paper, we study single transceiver passive RFID networks by modeling the underlying physical system as a special cascade of a certain broadcast channel (BCC) and a multiple…