3 papers
cs.LG2025
Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space
Klaudia Balcer, Piotr Lipinski
This paper jointly addresses the problem of data uncertainty, popularity bias, and exposure bias in session-based recommender systems. We study the symptoms of this bias both in it…
cs.LG2024
Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems
Mikołaj Słupiński, Piotr Lipiński
In this paper, we propose a novel model called Recurrent Explicit Duration Switching Linear Dynamical Systems (REDSLDS) that incorporates recurrent explicit duration variables into…
cs.LG2024
The Recurrent Sticky Hierarchical Dirichlet Process Hidden Markov Model
Mikołaj Słupiński, Piotr Lipiński
The Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) is a natural Bayesian nonparametric extension of the classical Hidden Markov Model for learning from (spatio-)tempo…