21 citations · 87 across the 18 of their papers we have counts for
4 papers · 1 filter
An implicit function learning approach for parametric modal regression
Yangchen Pan, Ehsan Imani, Martha White +1
For multi-valued functions---such as when the conditional distribution on targets given the inputs is multi-modal---standard regression approaches are not always desirable because…
High-confidence error estimates for learned value functions
Touqir Sajed, Wesley Chung, Martha White
Estimating the value function for a fixed policy is a fundamental problem in reinforcement learning. Policy evaluation algorithms---to estimate value functions---continue to be dev…
Improving Regression Performance with Distributional Losses
Ehsan Imani, Martha White
There is growing evidence that converting targets to soft targets in supervised learning can provide considerable gains in performance. Much of this work has considered classificat…
Recovering True Classifier Performance in Positive-Unlabeled Learning
Shantanu Jain, Martha White, Predrag Radivojac
A common approach in positive-unlabeled learning is to train a classification model between labeled and unlabeled data. This strategy is in fact known to give an optimal classifier…