828 citations · 5.6k across the 171 of their papers we have counts for
3 papers · 1 filter
Learning Optimal Interventions
Jonas Mueller, David N. Reshef, George Du +1
Our goal is to identify beneficial interventions from observational data. We consider interventions that are narrowly focused (impacting few covariates) and may be tailored to each…
Rationalizing Neural Predictions
Tao Lei, Regina Barzilay, Tommi Jaakkola
Prediction without justification has limited applicability. As a remedy, we learn to extract pieces of input text as justifications -- rationales -- that are tailored to be short a…
High Dimensional Inference with Random Maximum A-Posteriori Perturbations
Tamir Hazan, Francesco Orabona, Anand D. Sarwate +2
This paper presents a new approach, called perturb-max, for high-dimensional statistical inference that is based on applying random perturbations followed by optimization. This fra…