Hyebin Song

Assistant Professor of Statistics

Hyebin Song

Huck Affiliations

Links

Publication Tags

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High Dimensional Labels Variable Selection Convergence Rate Learning Demonstrate Guarantee Term Dependent Class Coefficients Fires Single Index Model Proteins Statistical Inference Monotone Prediction Estimator Index Model Minimax Performance Observation Testing Maximum Likelihood Estimation Model

Most Recent Publications

NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction

Yi Ding, Avinash Rao, Hyebin Song, Rebecca Willett, Henry Hoffmann,

Sameer D’Costa, Emily C. Hinds, Chase R. Freschlin, Hyebin Song, Philip A. Romero, 2023, PLoS Computational Biology

Ran Dai, Hyebin Song, Rina Foygel Barber, Garvesh Raskutti, 2022, Electronic Journal of Statistics on p. 4449-4496

Hyebin Song, Garvesh Raskutti, Rebecca Willett, 2021, on p. 451-455

Hyebin Song, Bennett J. Bremer, Emily C. Hinds, Garvesh Raskutti, Philip A. Romero, 2021, Cell Systems on p. 92-101.e8

Convex and non-convex approaches for statistical inference with class-conditional noisy labels

Hyebin Song, Ran Dai, Garvesh Raskutti, Rina Foygel Barber, 2020, Journal of Machine Learning Research

Yuan Li, Benjamin Mark, Garvesh Raskutti, Rebecca Willett, Hyebin Song, David Neiman, 2020, SIAM J. Math. Data Sci. on p. 480--504

Ran Dai, Hyebin Song, Rina Barber, Garvesh Raskutti, 2020, Electronic Journal of Statistics on p. 801-834

Hyebin Song, Garvesh Raskutti, 2020, Journal of the American Statistical Association on p. 334-347

Hyebin Song, Garvesh Raskutti, 2019, Journal of the American Statistical Association on p. 334-347

Most-Cited Papers

Hyebin Song, Bennett J. Bremer, Emily C. Hinds, Garvesh Raskutti, Philip A. Romero, 2021, Cell Systems on p. 92-101.e8

Hyebin Song, Garvesh Raskutti, 2020, Journal of the American Statistical Association on p. 334-347

Convex and non-convex approaches for statistical inference with class-conditional noisy labels

Hyebin Song, Ran Dai, Garvesh Raskutti, Rina Foygel Barber, 2020, Journal of Machine Learning Research

Sameer D’Costa, Emily C. Hinds, Chase R. Freschlin, Hyebin Song, Philip A. Romero, 2023, PLoS Computational Biology

Hyebin Song, Garvesh Raskutti, Rebecca Willett, 2021, on p. 451-455

Ran Dai, Hyebin Song, Rina Foygel Barber, Garvesh Raskutti, 2022, Electronic Journal of Statistics on p. 4449-4496

Hyebin Song, Garvesh Raskutti, 2019, Journal of the American Statistical Association on p. 334-347

Yuan Li, Benjamin Mark, Garvesh Raskutti, Rebecca Willett, Hyebin Song, David Neiman, 2020, SIAM J. Math. Data Sci. on p. 480--504

Ran Dai, Hyebin Song, Rina Barber, Garvesh Raskutti, 2020, Electronic Journal of Statistics on p. 801-834