17 citations · 21 across the 4 of their papers we have counts for
4 papers
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation
Melanie F. Pradier, Javier González
Matching is a popular approach in causal inference to estimate treatment effects by pairing treated and control units that are most similar in terms of their covariate information.…
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires
Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa +8
Recent advances in immunomics have shown that T-cell receptor (TCR) signatures can accurately predict active or recent infection by leveraging the high specificity of TCR binding t…
Sparse Three-parameter Restricted Indian Buffet Process for Understanding International Trade
Melanie F. Pradier, Viktor Stojkoski, Zoran Utkovski +2
This paper presents a Bayesian nonparametric latent feature model specially suitable for exploratory analysis of high-dimensional count data. We perform a non-negative doubly spars…
General Latent Feature Models for Heterogeneous Datasets
Isabel Valera, Melanie F. Pradier, Maria Lomeli +1
Latent feature modeling allows capturing the latent structure responsible for generating the observed properties of a set of objects. It is often used to make predictions either fo…