A Review of Relation Machine Learning for Knowledge Graphs / M. Nickel, et al.
Learning to Hash for Indexing Big Data - A Survey / J. Wang, et al.
Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments / J. Yang, et al.
Foundational Principles for Large-Scale Inference : Illustrations Through Correlation Mining / A. O. Hero, et al.
Resource Allocation for Statistical Estimation / Q. Berthet, et al.
Magging: Maximin Aggregation for Inhomogeneous Large-Scale Data / P. Buhlmann, et al.
Learning Reductions That Really Work / Beygelimer, et al.
Taking the Human Out of the Loop: A Review of Bayesian Optimization / B. Shahriari, et al.
Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets / M. K. K. Leung, et al.