9 citations · 18 across the 5 of their papers we have counts for
5 papers
Statistical Distance Based Deterministic Offspring Selection in SMC Methods
Oskar Kviman, Hazal Koptagel, Harald Melin +1
Over the years, sequential Monte Carlo (SMC) and, equivalently, particle filter (PF) theory has gained substantial attention from researchers. However, the performance of the resam…
VaiPhy: a Variational Inference Based Algorithm for Phylogeny
Hazal Koptagel, Oskar Kviman, Harald Melin +2
Phylogenetics is a classical methodology in computational biology that today has become highly relevant for medical investigation of single-cell data, e.g., in the context of cance…
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
Oskar Kviman, Harald Melin, Hazal Koptagel +2
In variational inference (VI), the marginal log-likelihood is estimated using the standard evidence lower bound (ELBO), or improved versions as the importance weighted ELBO (IWELBO…
HAMSI: A Parallel Incremental Optimization Algorithm Using Quadratic Approximations for Solving Partially Separable Problems
Kamer Kaya, Figen Öztoprak, Ş. İlker Birbil +5
We propose HAMSI (Hessian Approximated Multiple Subsets Iteration), which is a provably convergent, second order incremental algorithm for solving large-scale partially separable o…
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…