208 citations · 369 across the 38 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020★ 5 cited
Learning to Rank Learning Curves
Martin Wistuba, Tejaswini Pedapati
Many automated machine learning methods, such as those for hyperparameter and neural architecture optimization, are computationally expensive because they involve training many dif…
cs.LG2020★ 9 cited
Learning Global Transparent Models Consistent with Local Contrastive Explanations
Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam +1
There is a rich and growing literature on producing local contrastive/counterfactual explanations for black-box models (e.g. neural networks). In these methods, for an input, an ex…