Tim Coleman

According to our database, Tim Coleman authored at least 4 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Scalable and Efficient Hypothesis Testing with Random Forests.

Tim Coleman, Wei Peng, Lucas Mentch

J. Mach. Learn. Res., 2022

2019

Locally Optimized Random Forests.

Tim Coleman, Kimberly Kaufeld, Mary Frances Dorn, Lucas Mentch

CoRR, 2019

Asymptotic Distributions and Rates of Convergence for Random Forests and other Resampled Ensemble Learners.

Wei Peng, Tim Coleman, Lucas Mentch

CoRR, 2019

Precision VISSTA: Machine Learning Prediction and Inference for Bring-Your-Own-Device (BYOD) mHealth Data.

Tim Coleman, Lucas Mentch, Kimberly Glass, David Gotz, Nils Gehlenborg, Arlene E. Chung

Proceedings of the AMIA 2019, 2019