Masegosa, Andrés R.

9 publications

JAIR 2025 PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime Andrés R. Masegosa, Luis A. Ortega

NeurIPS 2024 PAC-Bayes-Chernoff Bounds for Unbounded Losses Ioar Casado, Luis A. Ortega, Aritz Pérez, Andrés R. Masegosa

NeurIPS 2024 Revisiting K-Mer Profile for Effective and Scalable Genome Representation Learning Abdulkadir Çelikkanat, Andres R. Masegosa, Thomas D. Nielsen

TMLR 2024 The Cold Posterior Effect Indicates Underfitting, and Cold Posteriors Represent a Fully Bayesian Method to Mitigate It Yijie Zhang, Yi-Shan Wu, Luis A. Ortega, Andres R Masegosa

PGM 2020 Probabilistic Graphical Models with Neural Networks in InferPy Rafael Cabañas, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa

ICCVW 2017 Variational Robust Subspace Clustering with Mean Update Algorithm Sergej Dogadov, Andrés R. Masegosa, Shinichi Nakajima

PGM 2016 D-VMP: Distributed Variational Message Passing Andrés R. Masegosa, Ana M. Martı́nez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen

PGM 2016 Scalable MAP Inference in Bayesian Networks Based on a mAP-Reduce Approach Darı́o Ramos-López, Antonio Salmerón, Rafel Rumı́, Ana M. Martı́nez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen

UAI 2014 Stochastic Discriminative EM Andrés R. Masegosa