Sinan Yildirim

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 23

Top Topics

Bayesian Estimation

Posterior Distribution

Top Venues

Publications

Sinan Yildirim
Differentially private online Bayesian estimation with adaptive truncation. Turkish J. Electr. Eng. Comput. Sci. 32 (1) (2024)
Mjellma Carabregu-Vokshi, Gokcen Ogruk-Maz, Sinan Yildirim, But Dedaj, Adelina Zeqiri
21st century digital skills of higher education students during Covid-19 - is it possible to enhance digital skills of higher education students through E-Learning? Educ. Inf. Technol. 29 (1) (2024)
Soner Aydin, Sinan Yildirim
Adaptive Online Bayesian Estimation of Frequency Distributions with Local Differential Privacy. CoRR (2024)
Umut Simsekli, Mert Gürbüzbalaban, Sinan Yildirim, Lingjiong Zhu
Differential Privacy of Noisy (S)GD under Heavy-Tailed Perturbations. CoRR (2024)
Baris Alparslan, Sinan Yildirim, S. Ilker Birbil
Differentially Private Distributed Bayesian Linear Regression with MCMC. ICML (2023)
Baris Alparslan, Sinan Yildirim, S. Ilker Birbil
Differentially Private Distributed Bayesian Linear Regression with MCMC. CoRR (2023)
Sinan Yildirim
Differentially Private Online Bayesian Estimation With Adaptive Truncation. CoRR (2023)
Baris Alparslan, Sinan Yildirim
Statistic Selection and MCMC for Differentially Private Bayesian Estimation. CoRR (2022)
Baris Alparslan, Sinan Yildirim
Statistic selection and MCMC for differentially private Bayesian estimation. Stat. Comput. 32 (4) (2022)
Nurdan Kuru, S. Ilker Birbil, Mert Gürbüzbalaban, Sinan Yildirim
Differentially Private Accelerated Optimization Algorithms. SIAM J. Optim. 32 (2) (2022)
Vahid Tavakol Aghaei, Arda Agababaoglu, Peiman Naseradinmousavi, Sinan Yildirim, Serhat Yesilyurt, Ahmet Onat
Energy Optimization of Wind Turbines via a Neural Control Policy Based on Reinforcement Learning Markov Chain Monte Carlo Algorithm. CoRR (2022)
Anes Abdennebi, Anil Elakas, Fatih Tasyaran, Erdinç Öztürk, Kamer Kaya, Sinan Yildirim
Machine learning-based load distribution and balancing in heterogeneous database management systems. Concurr. Comput. Pract. Exp. 34 (4) (2022)
Sinan Yildirim, M. Burak Kurutmaz, Melih Barsbey, Umut Simsekli, A. Taylan Cemgil
Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
S. Ilker Birbil, Sinan Yildirim, Kaya Gokalp, M. Hakan Akyüz
Learning with Subset Stacking. CoRR (2021)
Sinan Yildirim, Kamer Kaya, Soner Aydin, Hakan Bugra Erentug
Differentially Private Frequency Sketches for Intermittent Queries on Large Data Streams. IEEE BigData (2020)
Nurdan Kuru, S. Ilker Birbil, Mert Gürbüzbalaban, Sinan Yildirim
Differentially Private Accelerated Optimization Algorithms. CoRR (2020)
Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Müjdat Çetin
Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors. IEEE Trans. Image Process. 28 (11) (2019)
Vahid Tavakol Aghaei, Arda Agababaoglu, Ahmet Onat, Sinan Yildirim
Bayesian Learning for Policy Search in Trajectory Control of a Planar Manipulator. CCWC (2019)
Sinan Yildirim, Beyza Ermis
Exact MCMC with differentially private moves - Revisiting the penalty algorithm in a data privacy framework. Stat. Comput. 29 (5) (2019)
Ali Taylan Cemgil, Mehmet Burak Kurutmaz, Sinan Yildirim, Melih Barsbey, Umut Simsekli
Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns. CoRR (2019)
Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Müjdat Çetin
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors. CoRR (2018)
Ertunc Erdil, Sinan Yildirim, Müjdat Çetin, Tolga Tasdizen
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. CoRR (2016)
Ertunc Erdil, Sinan Yildirim, Müjdat Çetin, Tolga Tasdizen
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. CVPR (2016)
Sinan Yildirim, Lan Jiang, Sumeetpal S. Singh, Thomas Dean
Calibrating the Gaussian multi-target tracking model. Stat. Comput. 25 (3) (2015)
Lan Jiang, Sumeetpal S. Singh, Sinan Yildirim
Bayesian Tracking and Parameter Learning for Non-Linear Multiple Target Tracking Models. IEEE Trans. Signal Process. 63 (21) (2015)
Sinan Yildirim, A. Taylan Cemgil, Sumeetpal S. Singh
An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models. CoRR (2014)
Lan Jiang, Sumeetpal S. Singh, Sinan Yildirim
A new particle filtering algorithm for multiple target tracking with non-linear observations. FUSION (2014)
Sinan Yildirim, Lan Jiang, Sumeetpal S. Singh, Thomas Dean
A Monte Carlo expectation maximisation algorithm for multiple target tracking. FUSION (2012)
Sinan Yildirim, Ali Taylan Cemgil, Mustafa Aktar, Yaman Ozakin, Aysin Ertüzün
A Bayesian Deconvolution Approach for Receiver Function Analysis. IEEE Trans. Geosci. Remote. Sens. 48 (12) (2010)
Sinan Yildirim, Ali Taylan Cemgil, Aysin Ertüzün
A hybrid method for deconvolution of Bernoulli-Gaussian processes. ICASSP (2009)
Deniz Gençaga, Ercan E. Kuruoglu, Aysin Ertüzün, Sinan Yildirim
Estimation of time-varying AR SalphaS processes using Gibbs sampling. Signal Process. 88 (10) (2008)