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ORCIDSinan Yildirim
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2020 – today
- 2024
[j12]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): 103-137 (2024)- [j11]Sinan Yildirim:
Differentially private online Bayesian estimation with adaptive truncation. Turkish J. Electr. Eng. Comput. Sci. 32(1): 34-50 (2024) - [c8]Cheng Cheng, Sinan Yildirim, Jean-Yves Tourneret:
Auxiliary Particle Filtering with Variational Inference for Jump Markov Systems with Unknown Measurement Noise Covariance. EUSIPCO 2024: 2522-2526 - [i12]Umut Simsekli, Mert Gürbüzbalaban, Sinan Yildirim, Lingjiong Zhu:
Differential Privacy of Noisy (S)GD under Heavy-Tailed Perturbations. CoRR abs/2403.02051 (2024) - [i11]Soner Aydin, Sinan Yildirim:
Adaptive Online Bayesian Estimation of Frequency Distributions with Local Differential Privacy. CoRR abs/2405.07020 (2024) - 2023
- [c7]Baris Alparslan, Sinan Yildirim, S. Ilker Birbil:
Differentially Private Distributed Bayesian Linear Regression with MCMC. ICML 2023: 627-641 - [i10]Sinan Yildirim:
Differentially Private Online Bayesian Estimation With Adaptive Truncation. CoRR abs/2301.08202 (2023) - [i9]Baris Alparslan, Sinan Yildirim, S. Ilker Birbil:
Differentially Private Distributed Bayesian Linear Regression with MCMC. CoRR abs/2301.13778 (2023) - 2022
- [j10]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) - [j9]Baris Alparslan, Sinan Yildirim:
Statistic selection and MCMC for differentially private Bayesian estimation. Stat. Comput. 32(4): 66 (2022) - [j8]Nurdan Kuru, S. Ilker Birbil, Mert Gürbüzbalaban, Sinan Yildirim:
Differentially Private Accelerated Optimization Algorithms. SIAM J. Optim. 32(2): 795-821 (2022) - [i8]Baris Alparslan, Sinan Yildirim:
Statistic Selection and MCMC for Differentially Private Bayesian Estimation. CoRR abs/2203.13377 (2022) - [i7]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 abs/2209.03485 (2022) - 2021
- [j7]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): 560-573 (2021) - [i6]S. Ilker Birbil, Sinan Yildirim, Kaya Gokalp, M. Hakan Akyüz:
Learning with Subset Stacking. CoRR abs/2112.06251 (2021) - 2020
- [c6]Sinan Yildirim, Kamer Kaya, Soner Aydin, Hakan Bugra Erentug:
Differentially Private Frequency Sketches for Intermittent Queries on Large Data Streams. IEEE BigData 2020: 4083-4092 - [i5]Nurdan Kuru, S. Ilker Birbil, Mert Gürbüzbalaban, Sinan Yildirim:
Differentially Private Accelerated Optimization Algorithms. CoRR abs/2008.01989 (2020)
2010 – 2019
- 2019
- [j6]Sinan Yildirim, Beyza Ermis:
Exact MCMC with differentially private moves - Revisiting the penalty algorithm in a data privacy framework. Stat. Comput. 29(5): 947-963 (2019) - [j5]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): 5702-5715 (2019) - [c5]Vahid Tavakol Aghaei, Arda Agababaoglu, Ahmet Onat, Sinan Yildirim:
Bayesian Learning for Policy Search in Trajectory Control of a Planar Manipulator. CCWC 2019: 240-246 - [i4]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 abs/1903.04478 (2019) - 2018
- [i3]Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Müjdat Çetin:
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors. CoRR abs/1809.00488 (2018) - 2016
- [c4]Ertunc Erdil, Sinan Yildirim, Müjdat Çetin, Tolga Tasdizen:
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. CVPR 2016: 411-419 - [i2]Ertunc Erdil, Sinan Yildirim, Müjdat Çetin, Tolga Tasdizen:
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. CoRR abs/1611.03749 (2016) - 2015
- [j4]Sinan Yildirim, Lan Jiang, Sumeetpal S. Singh, Thomas Dean:
Calibrating the Gaussian multi-target tracking model. Stat. Comput. 25(3): 595-608 (2015) - [j3]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): 5733-5745 (2015) - 2014
- [c3]Lan Jiang, Sumeetpal S. Singh, Sinan Yildirim:
A new particle filtering algorithm for multiple target tracking with non-linear observations. FUSION 2014: 1-8 - [i1]Sinan Yildirim, A. Taylan Cemgil, Sumeetpal S. Singh:
An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models. CoRR abs/1401.2490 (2014) - 2012
- [c2]Sinan Yildirim, Lan Jiang, Sumeetpal S. Singh, Thomas Dean:
A Monte Carlo expectation maximisation algorithm for multiple target tracking. FUSION 2012: 2094-2101 - 2010
- [j2]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): 4151-4163 (2010)
2000 – 2009
- 2009
- [c1]Sinan Yildirim, Ali Taylan Cemgil, Aysin Ertüzün:
A hybrid method for deconvolution of Bernoulli-Gaussian processes. ICASSP 2009: 3417-3420 - 2008
- [j1]Deniz Gençaga, Ercan E. Kuruoglu, Aysin Ertüzün, Sinan Yildirim:
Estimation of time-varying AR SalphaS processes using Gibbs sampling. Signal Process. 88(10): 2564-2572 (2008)
Coauthor Index
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