no code implementations • 16 Jun 2016 • Jonas Mueller, David N. Reshef, George Du, Tommi Jaakkola
Assuming the underlying relationship remains invariant under intervention, we develop efficient algorithms to identify the optimal intervention policy from limited data and provide theoretical guarantees for our approach in a Gaussian Process setting.
no code implementations • 9 May 2015 • Yakir A. Reshef, David N. Reshef, Hilary K. Finucane, Pardis C. Sabeti, Michael M. Mitzenmacher
A common strategy is to evaluate a measure of dependence on every variable pair and retain the highest-scoring pairs for follow-up.
no code implementations • 9 May 2015 • David N. Reshef, Yakir A. Reshef, Pardis C. Sabeti, Michael M. Mitzenmacher
In addition to equitability, measures of dependence can also be assessed by the power of their corresponding independence tests as well as their runtime.
no code implementations • 9 May 2015 • Yakir A. Reshef, David N. Reshef, Pardis C. Sabeti, Michael M. Mitzenmacher
We define an equitable statistic as one with small interpretable intervals.
no code implementations • 21 Aug 2014 • Yakir A. Reshef, David N. Reshef, Pardis C. Sabeti, Michael Mitzenmacher
Introducing MIC_* also enables us to reason about the properties of MIC more abstractly: for instance, we show that MIC_* is continuous and that there is a sense in which it is a canonical "smoothing" of mutual information.