Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones, Irene Chen, Corey Chivers, Adrian Dalca, Sam Finlayson, Madalina Fiterau, Jason Alan Fries, Marzyeh Ghassemi, Mike Hughes, Bruno Jedynak, Jasvinder S. Kandola, Matthew McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi
Published 2018-11-17, updated 2018-11-24Version 2
This volume represents the accepted submissions from the Machine Learning for Health (ML4H) workshop at the conference on Neural Information Processing Systems (NeurIPS) 2018, held on December 8, 2018 in Montreal, Canada.
Comments: Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Machine Learning of Space-Fractional Differential Equations
Toward a generic representation of random variables for machine learning
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