Sanjeeb Dash gave a talk on the integer programming approach to the interpretable machine learning at the discrete math seminar

On January 14, 2020, Sanjeeb Dash from IBM T. J. Watson Research presented a talk on the integer programming formulation for the problem arising from the interpretable machine learning. The title of his talk was “Boolean decision rules via column generation“. He is visiting IBS Discrete Mathematics Group until the end of this week.