Learning the Ranking of Causal Effects with Confounded Data. - Carlos Fernández-Loría; Jorge Loría (CoRR, 2022)

Posterior Inference on Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance. - Jorge Loría; Anindya Bhadra (CoRR, 2023)

Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance. - Jorge Loría; Anindya Bhadra (UAI, 2024)

SURE-tuned bridge regression. - Jorge Loría; Anindya Bhadra (Stat. Comput., 2024)

Deep Kernel Posterior Learning under Infinite Variance Prior Weights. - Jorge Loría; Anindya Bhadra (ICLR, 2025)