104 citations · 105 across the 2 of their papers we have counts for
3 papers
stat.ML2017★ 104 cited
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu, Michael C. Hughes, Sonali Parbhoo +3
The lack of interpretability remains a key barrier to the adoption of deep models in many applications. In this work, we explicitly regularize deep models so human users might step…
cs.AI2016
Spreadsheet Probabilistic Programming
Mike Wu, Yura Perov, Frank Wood +1
Spreadsheet workbook contents are simple programs. Because of this, probabilistic programming techniques can be used to perform Bayesian inversion of spreadsheet computations. What…
cs.CE2015★ 1 cited
Financial Market Prediction
Mike Wu
Given financial data from popular sites like Yahoo and the London Exchange, the presented paper attempts to model and predict stocks that can be considered "good investments". Stoc…