254 citations · 1.6k across the 94 of their papers we have counts for
98 papers
Explaining the Success of Nearest Neighbor Methods in Prediction
George H. Chen, Devavrat Shah
Many modern methods for prediction leverage nearest neighbor search to find past training examples most similar to a test example, an idea that dates back in text to at least the 1…
Exploiting Observation Bias to Improve Matrix Completion
Yassir Jedra, Sean Mann, Charlotte Park +1
We consider a variant of matrix completion where entries are revealed in a biased manner. We wish to understand the extent to which such bias can be exploited in improving predicti…
Auditing for Human Expertise
Rohan Alur, Loren Laine, Darrick K. Li +3
High-stakes prediction tasks (e.g., patient diagnosis) are often handled by trained human experts. A common source of concern about automation in these settings is that experts may…
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise
Abdullah Alomar, Munther Dahleh, Sean Mann +1
The well-established practice of time series analysis involves estimating deterministic, non-stationary trend and seasonality components followed by learning the residual stochasti…
A User-Driven Framework for Regulating and Auditing Social Media
Sarah H. Cen, Aleksander Madry, Devavrat Shah
People form judgments and make decisions based on the information that they observe. A growing portion of that information is not only provided, but carefully curated by social med…
Counterfactual Identifiability of Bijective Causal Models
Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah
We study counterfactual identifiability in causal models with bijective generation mechanisms (BGM), a class that generalizes several widely-used causal models in the literature. W…