Sinan Yildirim

Orcid: 0000-0001-7980-8990

According to our database1, Sinan Yildirim authored at least 27 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
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., January, 2024

Differentially private online Bayesian estimation with adaptive truncation.
Turkish J. Electr. Eng. Comput. Sci., 2024

Adaptive Online Bayesian Estimation of Frequency Distributions with Local Differential Privacy.
CoRR, 2024

Differential Privacy of Noisy (S)GD under Heavy-Tailed Perturbations.
CoRR, 2024

Auxiliary Particle Filtering with Variational Inference for Jump Markov Systems with Unknown Measurement Noise Covariance.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Differentially Private Distributed Bayesian Linear Regression with MCMC.
Proceedings of the International Conference on Machine Learning, 2023

2022
Differentially Private Accelerated Optimization Algorithms.
SIAM J. Optim., 2022

Statistic selection and MCMC for differentially private Bayesian estimation.
Stat. Comput., 2022

Energy Optimization of Wind Turbines via a Neural Control Policy Based on Reinforcement Learning Markov Chain Monte Carlo Algorithm.
CoRR, 2022

Machine learning-based load distribution and balancing in heterogeneous database management systems.
Concurr. Comput. Pract. Exp., 2022

2021
Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors.
IEEE J. Sel. Top. Signal Process., 2021

Learning with Subset Stacking.
CoRR, 2021

2020
Differentially Private Frequency Sketches for Intermittent Queries on Large Data Streams.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors.
IEEE Trans. Image Process., 2019

Exact MCMC with differentially private moves - Revisiting the penalty algorithm in a data privacy framework.
Stat. Comput., 2019

Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns.
CoRR, 2019

Bayesian Learning for Policy Search in Trajectory Control of a Planar Manipulator.
Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019

2018
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors.
CoRR, 2018

2016
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Bayesian Tracking and Parameter Learning for Non-Linear Multiple Target Tracking Models.
IEEE Trans. Signal Process., 2015

Calibrating the Gaussian multi-target tracking model.
Stat. Comput., 2015

2014
An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models.
CoRR, 2014

A new particle filtering algorithm for multiple target tracking with non-linear observations.
Proceedings of the 17th International Conference on Information Fusion, 2014

2012
A Monte Carlo expectation maximisation algorithm for multiple target tracking.
Proceedings of the 15th International Conference on Information Fusion, 2012

2010
A Bayesian Deconvolution Approach for Receiver Function Analysis.
IEEE Trans. Geosci. Remote. Sens., 2010

2009
A hybrid method for deconvolution of Bernoulli-Gaussian processes.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Estimation of time-varying AR SalphaS processes using Gibbs sampling.
Signal Process., 2008


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