3 papers
math.ST2024
Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set
Davin Choo, Chandler Squires, Arnab Bhattacharyya +1
Accurate estimates of causal effects play a key role in decision-making across applications such as healthcare, economics, and operations. In the absence of randomized experiments,…
cs.LG2024
Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point
Christina X Ji, Ahmed M Alaa, David Sontag
Distribution shift over time occurs in many settings. Leveraging historical data is necessary to learn a model for the last time point when limited data is available in the final p…
cs.SI2021
Pulse of the Pandemic: Iterative Topic Filtering for Clinical Information Extraction from Social Media
Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar +2
The rapid evolution of the COVID-19 pandemic has underscored the need to quickly disseminate the latest clinical knowledge during a public-health emergency. One surprisingly effect…