Sinan Yıldırım

Türkçe sürüm

Sinan Yıldırım

E-mail : sinan.yildirimsabanciuniv.edu

Personal web page

Areas of Interest :

Bayesian Statistics, Monte Carlo methods

Awards :

  • Travel grant - Fusion 2012 conference  2012
  • Smith-Knight & Rayleigh-Knight Prize (3rd best category) - University of Cambridge  2011
  • PhD scholarship - Cambridge Statistics Initiative  2009
  • PhD scholarship - MAN Group, UK  2009
  • Ranked 10th - National University Entrance Exam  2002

Publications :

Article
Yıldırım, Sinan (2024) "Differentially private online Bayesian estimation with adaptive truncation", Turkish Journal of Electrical Engineering and Computer Sciences, Vol.32, No.1, 34-50 (SCI)
Aksoy, Ozan and Yıldırım, Sinan (2023) "A model of dynamic flows: explaining Turkey's interprovincial migration". Published Online First https://dx.doi.org/10.1177/00811750231184460
Tavakol Aghaei, Vahid and Ağababaoğlu, Arda and Bawo, Biram and Naseradinmousavi, Peiman and Yıldırım, Sinan and Yeşilyurt, Serhat and Onat, Ahmet (2023) "Energy optimization of wind turbines via a neural control policy based on reinforcement learning Markov chain Monte Carlo algorithm", Applied Energy, Vol.341 (SCI)
Yıldırım, Sinan and Khalafi, Mohammad and Güzel, Tayyar and Satık, Halil and Yılmaz, Murat (2023) "Supply curves in electricity markets: a framework for dynamic modeling and Monte Carlo forecasting", IEEE Transactions on Power Systems, Vol.38, No.4, 3056-3069 (SCI)
Alparslan, Barış and Yıldırım, Sinan (2022) "Statistic selection and MCMC for differentially private Bayesian estimation", Statistics and Computing, Vol.32, No.5 (SCI)
Tavakol Aghaei, Vahid and Ağababaoğlu, Arda and Yıldırım, Sinan and Onat, Ahmet (2022) "A real-world application of Markov chain Monte Carlo method for Bayesian trajectory control of a robotic manipulator", ISA Transactions, Vol.125, 580-590 (SCI)
Kuru, Nurdan and Birbil, Ş. İlker and Gürbüzbalaban, Mert and Yıldırım, Sinan (2022) "Differentially private accelerated optimization algorithms", SIAM Journal on Optimization, Vol.32, No.2, 795-821 (SCI)
Abdennebi, Anes and Elakaş, Anıl and Taşyaran, Fatih and Öztürk, Erdinç and Kaya, Kamer and Yıldırım, Sinan (2022) "Machine learning-based load distribution and balancing in heterogeneous database management systems", Concurrency and Computation: Practice and Experience, Vol.34, No.4 (SCI)
Yıldırım, Sinan and Kurutmaz, M. Burak and Barsbey, Melih and Şimşekli, Umut and Cemgil, A. Taylan (2021) "Bayesian allocation model: marginal likelihood-based model selection for count tensors", IEEE Journal of Selected Topics in Signal Processing, Vol.15, No.3, 560-573 (SCI)
Erdil, Ertunç and Yıldırım, Sinan and Tasdizen, Tolga and Çetin, Müjdat (2019) "Pseudo-marginal MCMC sampling for image segmentation using nonparametric shape priors", IEEE Transactions on Image Processing, Vol.28, No.11, 5702-5715 (SCI)
Yıldırım, Sinan and Ermiş, Beyza (2019) "Exact MCMC with differentially private moves: revisiting the penalty algorithm in a data privacy framework", Statistics and Computing, Vol.29, No.5, 947-963 (SCI)
Tavakol Aghaei, Vahid and Onat, Ahmet and Yıldırım, Sinan (2018) "A Markov chain Monte Carlo algorithm for Bayesian policy search", Systems Science and Control Engineering, Vol.6, No.1, 438-455 (ESCI)
Papers in Conference Proceedings
Alparslan, Barış and Yıldırım, Sinan and Birbil, Ş. İlker, "Differentially private distributed Bayesian linear regression with MCMC", 40th International Conference on Machine Learning, PMLR, July 2023, 637-641
Yıldırım, Sinan and Kaya, Kamer and Aydın, Soner and Erentuğ, Hakan Buğra, "Differentially private frequency sketches for intermittent queries on large data streams", IEEE International Conference on Big Data (Big Data), Institute of Electrical and Electronics Engineers, December 2020, 4083-4092
Tavakol Aghaei, Vahid and Ağababaoğlu, Arda and Onat, Ahmet and Yıldırım, Sinan, "Bayesian learning for policy search in trajectory control of a planar manipulator", Chakrabarti, S. and Saha, H. N. (eds.), IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), Institute of Electrical and Electronics Engineers, March 2019, 240-246
Erdil, Ertunç and Yıldırım, Sinan and Çetin, Müjdat and Taşdizen, Tolga, "MCMC shape sampling for image segmentation with nonparametric shape priors", 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), USA: IEEE (Institute of Electrical and Electronics Engineers), June 2016, 411-419
Working Paper / Technical Report
Andrieu, Christophe and Doucet, Arnaud and Yıldırım, Sinan, "On the usefulness of asymmetric acceptance ratio Metropolis-Hastings update" 2015
Yıldırım, Sinan and Andrieu, Christophe and Doucet, Arnaud, "Efficient estimation of likelihood ratios in state-space models–application to scalable exact approximations of MCMCs" 2015
Before SU Publications:

Journals:

Bayesian tracking and parameter learning for non-linear multiple target tracking models, Lan Jiang, Sumeetpal S. Singh, Sinan Yıldırım, IEEE Transactions on Signal Processing, 2015

Parameter Estimation in Hidden Markov Models with Intractable Likelihoods Using Sequential Monte Carlo, S. Yıldırım, S. Singh, T. Dean, A. Jasra, Journal of Computational and Graphical Statistics, 2015

Calibrating the Gaussian Multi-target Tracking Model, S.Yıldırım, L. Jiang, S. S. Singh, and T. A. Dean, Statistics and Computing, 2015

An Online Expectation-Maximisation Algorithm for Changepoint Models, S. Yıldırım, S. S. Singh, and A. Doucet, Journal of Computational and Graphical Statistics, 2013

A Bayesian Deconvolution Approach for Receiver Function Analysis, S. Yıldırım, A. T. Cemgil, M. Aktar, Y. Özakın, and A. Ertüzün, IEEE Transactions in Geoscience and Remote Sensing, 2010

Estimation of Time Varying AR SαS Processes using Gibbs Sampling, D. Gençağa, E. E. Kuruoğlu, A. Ertüzün, and S. Yıldırım, Signal Processing, 2008

Conference

A New Particle Filtering algorithm for Multiple Target Tracking with Non-linear Observations, L. Jiang, S. S. Singh, S.Yıldırım, 17’th International Conference on Information Fusion, 2014 (to appear)

A Monte Carlo Expectation Maximisation Algorithm for Parameter Estimation in Multiple Target Tracking, S. Yıldırım, L. Jiang, S. S. Singh, and T. Dean, 15’th International Conference on Information Fusion, 2012

An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models, S. Yıldırım, A. T. Cemgil, and S. S. Singh, SYSID, 2012

A Hybrid Method for Deconvolution of Bernoulli-Gaussian Processes, S. Yıldırım, A. T. Cemgil, and A. Ertüzün, IEEE ICASSP, 2009

Theses

Maximum Likelihood Parameter Estimation in Time Series Models Using Sequential Monte Carlo, PhD Thesis, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, UK, 2013

Bayesian Methods for Deconvolution of Sparse Processes, MSc Thesis , Department of Electrical and Electronics Engineering, Boğaziçi University, Turkey, 2009