Hyebin Song

According to our database, Hyebin Song authored at least 5 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Inferring protein fitness landscapes from laboratory evolution experiments.

Sameer D'Costa, Emily C. Hinds, Chase R. Freschlin, Hyebin Song, Philip A. Romero

PLoS Comput. Biol., March, 2023

2022

NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction.

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

Proceedings of Machine Learning and Systems 2022, 2022

2021

Prediction in the Presence of Response-Dependent Missing Labels.

Hyebin Song, Garvesh Raskutti, Rebecca Willett

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2020

Graph-Based Regularization for Regression Problems with Alignment and Highly Correlated Designs.

Yuan Li, Benjamin Mark, Garvesh Raskutti, Rebecca Willett, Hyebin Song, David Neiman

SIAM J. Math. Data Sci., 2020

Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels.

Hyebin Song, Ran Dai, Garvesh Raskutti, Rina Foygel Barber

J. Mach. Learn. Res., 2020