This essay gives advice to authors of papers on machine learning, although much of it carries over to other computational disciplines. The issues covered include the material that should appear in a well-balanced paper, factors that arise in di erent approaches to evaluation, and ways to improve a submission's ability to communicate ideas to its readers.