Taedong Yun

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 7

Top Topics

Chi Square Test

Machine Learning

Statistical Inference

Top Venues

SIAM J. Discret. Math.

Publications

Nae-Chyun Chen, Alexey Kolesnikov, Sidharth Goel, Taedong Yun, Pi-Chuan Chang, Andrew Carroll
Improving variant calling using population data and deep learning. BMC Bioinform. 24 (1) (2023)
Taedong Yun
Evaluating unsupervised disentangled representation learning for genomic discovery and disease risk prediction. CoRR (2023)
Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
Underspecification Presents Challenges for Credibility in Modern Machine Learning. J. Mach. Learn. Res. 23 (2022)
Taedong Yun, Helen Li, Pi-Chuan Chang, Michael F. Lin, Andrew Carroll, Cory Y. McLean
Accurate, scalable cohort variant calls using DeepVariant and GLnexus. Bioinform. 36 (24) (2021)
Steve Yadlowsky, Taedong Yun, Cory Y. McLean, Alexander D'Amour
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression. NeurIPS (2021)
Steve Yadlowsky, Taedong Yun, Cory Y. McLean, Alexander D'Amour
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression. CoRR (2021)
Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR (2020)
Suho Oh, Hwanchul Yoo, Taedong Yun
Rainbow Graphs and Switching Classes. SIAM J. Discret. Math. 27 (2) (2013)