Gilmer Valdes

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Gradient Boosting

Boosted Decision Trees

Machine Learning

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Frontiers Artif. Intell.

Publications

Gilmer Valdes, Jerome H. Friedman, Fei Jiang, Efstathios D. Gennatas
Representational Gradient Boosting: Backpropagation in the Space of Functions. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Gilmer Valdes, Yannet Interian, Efstathios D. Gennatas, Mark J. van der Laan
The Conditional Super Learner. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Gilmer Valdes, Wilmer Arbelo, Yannet Interian, Jerome H. Friedman
Lockout: Sparse Regularization of Neural Networks. CoRR (2021)
Maria F. Chan, Alon Witztum, Gilmer Valdes
Integration of AI and Machine Learning in Radiotherapy QA. Frontiers Artif. Intell. 3 (2020)
Efstathios D. Gennatas, J. H. Friedman, Lyle H. Ungar, Romain Pirracchio, Eric Eaton, L. Reichman, Yannet Interian, Charles B. Simone II, A. Auerbach, E. Delgado, Mark J. van der Laan, Timothy D. Solberg, Gilmer Valdes
Expert-Augmented Machine Learning. CoRR (2019)
Gilmer Valdes, Yannet Interian, Efstathios D. Gennatas, Mark J. van der Laan
Conditional Super Learner. CoRR (2019)
Miguel Romero, Yannet Interian, Timothy D. Solberg, Gilmer Valdes
Training Deep Learning models with small datasets. CoRR (2019)
José-Marcio Luna, Eric Eaton, Lyle H. Ungar, Eric Diffenderfer, Shane T. Jensen, Efstathios D. Gennatas, Mateo Wirth, Charles B. Simone II, Timothy D. Solberg, Gilmer Valdes
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees. CoRR (2017)