26 citations · 69 across the 8 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.IR2018
The Deconfounded Recommender: A Causal Inference Approach to Recommendation
Yixin Wang, Dawen Liang, Laurent Charlin +1
The goal of recommendation is to show users items that they will like. Though usually framed as a prediction, the spirit of recommendation is to answer an interventional question--…
stat.ML2018
Black Box FDR
Wesley Tansey, Yixin Wang, David M. Blei +1
Analyzing large-scale, multi-experiment studies requires scientists to test each experimental outcome for statistical significance and then assess the results as a whole. We presen…
stat.ML2018
The Blessings of Multiple Causes
Yixin Wang, David M. Blei
Causal inference from observational data often assumes "ignorability," that all confounders are observed. This assumption is standard yet untestable. However, many scientific studi…