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James Priest

2 accepted papers

2020

Ivy: Instrumental Variable Synthesis for Causal Inference

AISTATS 2020poster

A popular way to estimate the causal effect of a variable x on y from observational data is to use an instrumental variable (IV): a third variable z that affects y only through x. The more strongly z is associated with x, the more reliable the estimate is, but such strong IVs are difficult to find.…

Cited by 34SourcePDFScholar
2019

Multi-Resolution Weak Supervision for Sequential Data

NeurIPS 2019poster

Since manually labeling training data is slow and expensive, recent industrial and scientific research efforts have turned to weaker or noisier forms of supervision sources. However, existing weak supervision approaches fail to model multi-resolution sources for sequential data, like video, that can…

Cited by 42SourcePDFScholar