Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017)

2017/08/08 by Kim, Been, Malioutov, Dmitry M., Varshney, Kush R. +1
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)

paper · doi:10.48550/arxiv.1708.02666

Abstract

This is the Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017), which was held in Sydney, Australia, August 10, 2017. Invited speakers were Tony Jebara, Pang Wei Koh, and David Sontag.

Related

• Proceedings of the 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018)
• Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016)
• Proceedings of NIPS 2017 Symposium on Interpretable Machine Learning
• Proceedings of the 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications
• Proceedings of the 29th International Conference on Machine Learning (ICML-12)