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  • Data Science

Learning and Memorization

In the machine learning research community, it is generally believed that there is a tension between memorization and generalization. This paper examines the extent to which this tension exists, by exploring whether it is possible to generalize by memorizing alone.

  • Data Science
  • Technology

A Workaround for Non-Determinism in TensorFlow

Speed and repeatability are crucial in machine learning, but the latter is not guaranteed in TensorFlow. A Two Sigma researcher demonstrates a workaround to attain repeatable results.

  • Data Science

NIPS 2016: A Survey of Tutorials, Papers, and Workshops

Two Sigma researchers discuss notable advances in deep learning, optimization algorithms, Bayesian techniques, and time-series analysis presented at 2016’s Conference on Neural Information Processing Systems (NIPS).