64 citations · 99 across the 10 of their papers we have counts for
3 papers · 1 filter
Federated Stochastic Gradient Langevin Dynamics
Khaoula El Mekkaoui, Diego Mesquita, Paul Blomstedt +1
Stochastic gradient MCMC methods, such as stochastic gradient Langevin dynamics (SGLD), employ fast but noisy gradient estimates to enable large-scale posterior sampling. Although…
Distributed Bayesian Matrix Factorization with Limited Communication
Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho +2
Bayesian matrix factorization (BMF) is a powerful tool for producing low-rank representations of matrices and for predicting missing values and providing confidence intervals. Scal…
Modelling-based experiment retrieval: A case study with gene expression clustering
Paul Blomstedt, Ritabrata Dutta, Sohan Seth +2
Motivation: Public and private repositories of experimental data are growing to sizes that require dedicated methods for finding relevant data. To improve on the state of the art o…