6 citations · 7 across the 2 of their papers we have counts for
4 papers
Latent space projection predictive inference
Alejandro Catalina, Paul Bürkner, Aki Vehtari
Given a reference model that includes all the available variables, projection predictive inference replaces its posterior with a constrained projection including only a subset of a…
Challenges and Opportunities in High-dimensional Variational Inference
Akash Kumar Dhaka, Alejandro Catalina, Manushi Welandawe +3
Current black-box variational inference (BBVI) methods require the user to make numerous design choices -- such as the selection of variational objective and approximating family -…
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models
Alejandro Catalina, Paul-Christian Bürkner, Aki Vehtari
Projection predictive inference is a decision theoretic Bayesian approach that decouples model estimation from decision making. Given a reference model previously built including a…
Group Heterogeneity Assessment for Multilevel Models
Topi Paananen, Alejandro Catalina, Paul-Christian Bürkner +1
Many data sets contain an inherent multilevel structure, for example, because of repeated measurements of the same observational units. Taking this structure into account is critic…