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stat.ML2023★ 1 cited
Differentially Private Distributed Bayesian Linear Regression with MCMC
Barış Alparslan, Sinan Yıldırım, Ş. İlker Birbil
We propose a novel Bayesian inference framework for distributed differentially private linear regression. We consider a distributed setting where multiple parties hold parts of the…
stat.ML2015★ 9 cited
Parallel Stochastic Gradient Markov Chain Monte Carlo for Matrix Factorisation Models
Umut Şimşekli, Hazal Koptagel, Hakan Güldaş +3
For large matrix factorisation problems, we develop a distributed Markov Chain Monte Carlo (MCMC) method based on stochastic gradient Langevin dynamics (SGLD) that we call Parallel…