Eric P. Xing

17 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0009-0005-9158-4201

Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates;l School of Computer Science, Carnegie Mellon University, Pittsburgh, PA

Publications

• Identifiability of nonparametric mixture models and Bayes optimal clustering — The Annals of Statistics 2020
• Contextual Explanation Networks — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• A penalized regression model for the joint estimation of eQTL associations and gene network structure — The Annals of Applied Statistics 2019
• Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters — Journal of Machine Learning Research 2018 (name-matched, not ORCID-linked)
• Learning Scalable Deep Kernels with Recurrent Structure — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
• Latent Space Inference of Internet-Scale Networks — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• AD3: Alternating Directions Dual Decomposition for MAP Inference in Graphical Models — Journal of Machine Learning Research 2015 (name-matched, not ORCID-linked)
• Graph Estimation From Multi-Attribute Data — Journal of Machine Learning Research 2014 (name-matched, not ORCID-linked)
• Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs — Journal of Machine Learning Research 2014 (name-matched, not ORCID-linked)
• Smoothing proximal gradient method for general structured sparse regression — The Annals of Applied Statistics 2012
• A Multiscale Community Blockmodel for Network Exploration — Journal of the American Statistical Association 2012
• MedLDA: Maximum Margin Supervised Topic Models — Journal of Machine Learning Research 2012 (name-matched, not ORCID-linked)
• Nonextensive Information Theoretic Kernels on Measures — Journal of Machine Learning Research 2009 (name-matched, not ORCID-linked)
• Maximum Entropy Discrimination Markov Networks — Journal of Machine Learning Research 2009 (name-matched, not ORCID-linked)
• Mixed Membership Stochastic Blockmodels — Journal of Machine Learning Research 2008 (name-matched, not ORCID-linked)
• “Rebuilding” Statistics in the Age of AI: Culture, Infrastructure, and Training — Journal of the American Statistical Association