Kaan Gokcesu received his B.S. degree with comprehensive scholarships and high honors, and graduated as the Salutatorian with a CGPA of 3.96/4.00 from Bilkent University, Turkey in June 2015. He is currently an M.S. student with a CGPA of 4.00/4.00 at the Department of Electrical and Electronics Engineering, Bilkent University, under the supervision of Assoc. Prof. Suleyman S. Kozat.

He has achieved the 5th rank nationwide in the National University Entrance Examinations among 2 million students. He was awarded the Isbank Golden Youngsters Prize, Prime Ministry Outstanding Achievement Fellowship and Comprehensive Scholarship at Bilkent University during his B.S studies. During his exchange studies, he was awarded the Faculty Award for Best Performance from National University of Singapore. He was awarded the TUBITAK Scholarship for M.S. Studies by placing the 2nd nationwide in TUBITAK’s Weighted ALES (National GRE) and GPA Score List. He has graduated from Private Ari Science High School as the 2nd in class.

Working Papers

1. K. Gokcesu, and S. S. Kozat, "A Universally Optimal Low-Complexity Algorithm under Exp-Concave Losses", to be submitted to IEEE Transactions on Signal Processing, 2016. (draft available with permission of supervisor)
    
2. K. Gokcesu, and S. S. Kozat, "An Efficient Asymptotically Optimal Algorithm for Adversarial Bandits with Multiple Plays", to be submitted to IEEE Transactions on Neural Networks and Learning Systems, 2016. (draft available with permission of supervisor)
    
3. K. Gokcesu, and S. S. Kozat, "Minimax Optimal Algorithms for Expert Selection under Convex and Non-convex Loss Functions", to be submitted to IEEE Transactions on Signal Processing, 2016. (draft available with permission of supervisor)
    
4. K. Gokcesu, and S. S. Kozat, "Multimodel Density Estimation with Growing and Decaying Trees", to be submitted to IEEE Transactions on Signal Processing, 2016. (draft available with permission of supervisor)
    
5. K. Gokcesu, and S. S. Kozat, "Adversarial Bandits with Universally Holding High Probability Bounds", to be submitted to IEEE Transactions on Neural Networks and Learning Systems, 2016. (draft available with permission of supervisor)
    
6. K. Gokcesu, and S. S. Kozat, "Unification of Bandit and Expert Framework with Feedback Cost", to be submitted to IEEE Transactions on Signal Processing, 2016. (draft available with permission of supervisor)
    

Conference Papers

1. K. Gokcesu, and S. S. Kozat, "Universal Estimation of Time-Varying Distributions," to appear in 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2017). (pdf)
       
2. I. Delibalta, K. Gokcesu, M. Simsek, L. Baruh and S. S. Kozat, "Online Anomaly Detection With Nested Trees," to appear in 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2017). (pdf)
       
3. K. Gokcesu, and S. S. Kozat, "A Rate Optimal Switching Bandit Algorithm," submitted to 25th European Signal Processing Conference (EUSIPCO2017). (pdf)
       
4. K. Gokcesu, and S. S. Kozat, "A General Framework for Adversarial Bandits," submitted to 25th European Signal Processing Conference (EUSIPCO2017). (pdf)
       
5. K. Gokcesu, Tolga Ergen, and S. S. Kozat, "Sequential Density Estimation in Time Series with Changing Statistics," submitted to 25th IEEE Signal Processing and Communications Applications Conference (SIU2017).
       
6. Tolga Ergen, K. Gokcesu, M. Simsek and S. S. Kozat, "Novelty Detection using Soft Partitioning and Hierarchical Models," submitted to 25th IEEE Signal Processing and Communications Applications Conference (SIU2017).
       
7. K. Gokcesu, Tolga Ergen, and S. S. Kozat, "Universal Switching Multi-Armed Bandit Algorithm," submitted to 25th IEEE Signal Processing and Communications Applications Conference (SIU2017).
       
8. Tolga Ergen, K. Gokcesu, and S. S. Kozat, "An Efficient Bandit Algorithm for General Cost Definitions," submitted to 25th IEEE Signal Processing and Communications Applications Conference (SIU2017).