Search Results for author: Amir Najmi

Found 3 papers, 0 papers with code

The Penalty Imposed by Ablated Data Augmentation

no code implementations8 Jun 2020 Frederick Liu, Amir Najmi, Mukund Sundararajan

There is a set of data augmentation techniques that ablate parts of the input at random.

Data Augmentation

The many Shapley values for model explanation

no code implementations ICML 2020 Mukund Sundararajan, Amir Najmi

In this paper, we use the axiomatic approach to study the differences between some of the many operationalizations of the Shapley value for attribution, and propose a technique called Baseline Shapley (BShap) that is backed by a proper uniqueness result.

Diabetes Prediction

Feedback Detection for Live Predictors

no code implementations NeurIPS 2014 Stefan Wager, Nick Chamandy, Omkar Muralidharan, Amir Najmi

A predictor that is deployed in a live production system may perturb the features it uses to make predictions.

Causal Inference

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