Eric W. Bridgeford

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 6

Top Topics

High Dimensional

Training Set Size

Generalization Error

Top Venues

J. Mach. Learn. Res.

PLoS Comput. Biol.

Publications

Qingyang Wang, Michael Alan Powell, Eric W. Bridgeford, Ali Geisa, Joshua T. Vogelstein
Polarity Is All You Need to Learn and Transfer Faster. ICML (2023)
Eric W. Bridgeford, Jaewon Chung, Brian Gilbert, Sambit Panda, Adam Li, Cencheng Shen, Alexandra Badea, Brian Caffo, Joshua T. Vogelstein
Learning sources of variability from high-dimensional observational studies. CoRR (2023)
Eric W. Bridgeford, Shangsi Wang, Zeyi Wang, Ting Xu, R. Cameron Craddock, Jayanta Dey, Gregory Kiar, William Gray-Roncal, Carlo Colantuoni, Christopher Douville, Stephanie Noble, Carey E. Priebe, Brian Caffo, Michael Milham, Xi-Nian Zuo, Joshua T. Vogelstein
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS Comput. Biol. 17 (9) (2021)
Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford, Bijan K. Varjavand, Hayden S. Helm, Joshua T. Vogelstein
GraSPy: Graph Statistics in Python. J. Mach. Learn. Res. 20 (2019)
Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford, Bijan K. Varjavand, Joshua T. Vogelstein
GraSPy: Graph Statistics in Python. CoRR (2019)
Sambit Panda, Satish Palaniappan, Junhao Xiong, Ananya Swaminathan, Sandhya Ramachandran, Eric W. Bridgeford, Cencheng Shen, Joshua T. Vogelstein
mgcpy: A Comprehensive High Dimensional Independence Testing Python Package. CoRR (2019)