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Hyebin Song
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2020 – today
- 2023
- [j3]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) - 2022
- [c2]Yi Ding, Avinash Rao, Hyebin Song, Rebecca Willett, Henry Hoffmann:
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction. MLSys 2022 - [i2]Yi Ding, Avinash Rao, Hyebin Song, Rebecca Willett, Henry Hoffmann:
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction. CoRR abs/2203.08339 (2022) - 2021
- [c1]Hyebin Song, Garvesh Raskutti, Rebecca Willett:
Prediction in the Presence of Response-Dependent Missing Labels. SSP 2021: 451-455 - [i1]Hyebin Song, Garvesh Raskutti, Rebecca Willett:
Prediction in the presence of response-dependent missing labels. CoRR abs/2103.13555 (2021) - 2020
- [j2]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: 168:1-168:58 (2020) - [j1]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): 480-504 (2020)
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