Hyebin Song

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Fitness Landscape

Top Venues

SIAM J. Math. Data Sci.

J. Mach. Learn. Res.

Publications

Sameer D'Costa, Emily C. Hinds, Chase R. Freschlin, Hyebin Song, Philip A. Romero
Inferring protein fitness landscapes from laboratory evolution experiments. PLoS Comput. Biol. 19 (3) (2023)
Yi Ding, Avinash Rao, Hyebin Song, Rebecca Willett, Henry Hoffmann
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction. CoRR (2022)
Yi Ding, Avinash Rao, Hyebin Song, Rebecca Willett, Henry Hoffmann
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction. MLSys (2022)
Hyebin Song, Garvesh Raskutti, Rebecca Willett
Prediction in the presence of response-dependent missing labels. CoRR (2021)
Hyebin Song, Garvesh Raskutti, Rebecca Willett
Prediction in the Presence of Response-Dependent Missing Labels. SSP (2021)
Yuan Li, Benjamin Mark, Garvesh Raskutti, Rebecca Willett, Hyebin Song, David Neiman
Graph-Based Regularization for Regression Problems with Alignment and Highly Correlated Designs. SIAM J. Math. Data Sci. 2 (2) (2020)
Hyebin Song, Ran Dai, Garvesh Raskutti, Rina Foygel Barber
Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels. J. Mach. Learn. Res. 21 (2020)