1 citations · 1 across the 3 of their papers we have counts for
3 papers
Reconciling Predictive Multiplicity in Practice
Tina Behzad, Sílvia Casacuberta, Emily Ruth Diana +1
Many machine learning applications predict individual probabilities, such as the likelihood that a person develops a particular illness. Since these probabilities are unknown, a ke…
Complexity-Theoretic Implications of Multicalibration
Sílvia Casacuberta, Cynthia Dwork, Salil Vadhan
We present connections between the recent literature on multigroup fairness for prediction algorithms and classical results in computational complexity. Multiaccurate predictors ar…
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability
Sílvia Casacuberta, Esra Suel, Seth Flaxman
In this paper we introduce a new problem within the growing literature of interpretability for convolution neural networks (CNNs). While previous work has focused on the question o…