3 papers
stat.ML2026
Finite-Probe Total-Variation Certificates for Finite-Basis Drifting Models
Sam Andersson, Ricky Molén
Drifting objectives compare a target and model distribution through a vector field observed noisily at finitely many locations. We ask what distributional conclusion such a frozen…
cs.LG2024
Efficient Mixture Learning in Black-Box Variational Inference
Alexandra Hotti, Oskar Kviman, Ricky Molén +2
Mixture variational distributions in black box variational inference (BBVI) have demonstrated impressive results in challenging density estimation tasks. However, currently scaling…
cs.LG2023
Improved Variational Bayesian Phylogenetic Inference using Mixtures
Oskar Kviman, Ricky Molén, Jens Lagergren
We present VBPI-Mixtures, an algorithm designed to enhance the accuracy of phylogenetic posterior distributions, particularly for tree-topology and branch-length approximations. De…