86 citations · 572 across the 39 of their papers we have counts for
4 papers · 1 filter
Partial Identifiability in Discrete Data With Measurement Error
Noam Finkelstein, Roy Adams, Suchi Saria +1
When data contains measurement errors, it is necessary to make assumptions relating the observed, erroneous data to the unobserved true phenomena of interest. These assumptions sho…
The Impact of Time Series Length and Discretization on Longitudinal Causal Estimation Methods
Roy Adams, Suchi Saria, Michael Rosenblum
The use of observational time series data to assess the impact of multi-time point interventions is becoming increasingly common as more health and activity data are collected and…
Evaluating Model Robustness and Stability to Dataset Shift
Adarsh Subbaswamy, Roy Adams, Suchi Saria
As the use of machine learning in high impact domains becomes widespread, the importance of evaluating safety has increased. An important aspect of this is evaluating how robust a…
I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models
Adarsh Subbaswamy, Suchi Saria
Shifts in environment between development and deployment cause classical supervised learning to produce models that fail to generalize well to new target distributions. Recently, m…