Pattern Recognition and Machine Learning

Thomas Burr

Proceedings of the 29th International Conference on Machine Learning (ICML-12)

John Langford, Joëlle Pineau

Challenges in Representation Learning: A Report on Three Machine Learning Contests

Ian Goodfellow, Dumitru Erhan, Pierre Carrier

Map-Reduce for Machine Learning on Multicore

Cheng-Tao Chu, Sang Kyun Kim, Yi-An Lin

A general-purpose machine learning framework for predicting properties of inorganic materials

Logan Ward, Ankit Agrawal, Alok Choudhary

Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning

Ying Sun, Prabhu Babu, Daniel P. Palomar

Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Jakub Konečný, H. Brendan McMahan, Daniel Ramage

Some studies in machine learning using the game of checkers

Arthur L. Samuel

Combining satellite imagery and machine learning to predict poverty

Neal Jean, Marshall Burke, Sang Michael Xie

Optimization for Machine Learning

Suvrit Sra, Sebastian Nowozin, Stephen J. Wright

Perspective: Machine learning potentials for atomistic simulations

Jörg Behler

Adaptive Computation and Machine Learning