2 papers
cs.LG2025
Posterior Sampling of Probabilistic Word Embeddings
Väinö Yrjänäinen, Isac Boström, Måns Magnusson +1
Quantifying uncertainty in word embeddings is crucial for reliable inference from textual data. However, existing Bayesian methods such as Hamiltonian Monte Carlo (HMC) and mean-fi…
math.PR2021
Rapid mixing in unimodal landscapes and efficient simulatedannealing for multimodal distributions
Johan Jonasson, Måns Magnusson
We consider nearest neighbor weighted random walks on the -dimensional box that are governed by some function $g:[0,1] \ra [0,\iy)$, by which we mean that standing at $x…