129 citations · 365 across the 13 of their papers we have counts for
3 papers · 1 filter
Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016)
Been Kim, Dmitry M. Malioutov, Kush R. Varshney
This is the Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), which was held in New York, NY, June 23, 2016. Invited speakers were Sus…
Interpretable Two-level Boolean Rule Learning for Classification
Guolong Su, Dennis Wei, Kush R. Varshney +1
As a contribution to interpretable machine learning research, we develop a novel optimization framework for learning accurate and sparse two-level Boolean rules. We consider rules…
Approximating the Spectral Sums of Large-scale Matrices using Chebyshev Approximations
Insu Han, Dmitry Malioutov, Haim Avron +1
Computation of the trace of a matrix function plays an important role in many scientific computing applications, including applications in machine learning, computational physics (…