| Inferring protein sequence-function relationships with large-scale positive-unlabeled learning H Song, BJ Bremer, EC Hinds, G Raskutti, PA Romero Cell systems 12 (1), 92-101. e8, 2021 | 43 | 2021 |
| The bias of isotonic regression R Dai, H Song, RF Barber, G Raskutti Electronic journal of statistics 14 (1), 801, 2020 | 15 | 2020 |
| PUlasso: High-dimensional variable selection with presence-only data H Song, G Raskutti Journal of the American Statistical Association, 2019 | 15 | 2019 |
| Graph-based regularization for regression problems with alignment and highly correlated designs Y Li, B Mark, G Raskutti, R Willett, H Song, D Neiman SIAM journal on mathematics of data science 2 (2), 480-504, 2020 | 12 | 2020 |
| Convex and non-Convex approaches for statistical inference with class-conditional noisy labels H Song, R Dai, G Raskutti, RF Barber Journal of Machine Learning Research 21 (168), 1-58, 2020 | 9 | 2020 |
| Inferring protein fitness landscapes from laboratory evolution experiments S D’Costa, EC Hinds, CR Freschlin, H Song, PA Romero PLoS computational biology 19 (3), e1010956, 2023 | 7 | 2023 |
| NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction Y Ding, A Rao, H Song, R Willett, HH Hoffmann Proceedings of Machine Learning and Systems 4, 190-203, 2022 | 5 | 2022 |
| Efficient shape-constrained inference for the autocovariance sequence from a reversible Markov chain S Berg, H Song The Annals of Statistics 51 (6), 2440-2470, 2023 | 2 | 2023 |
| Convergence guarantee for the sparse monotone single index model R Dai, H Song, RF Barber, G Raskutti Electronic Journal of Statistics 16 (2), 4449-4496, 2022 | 1 | 2022 |
| Non-covalent Lasso Entanglements in Folded Proteins: Prevalence, Functional Implications, and Evolutionary Significance V Rana, I Sitarik, J Petucci, Y Jiang, H Song, EP O'Brien Journal of Molecular Biology 436 (6), 168459, 2024 | | 2024 |
| Multivariate moment least-squares estimators for reversible Markov chains H Song, S Berg arXiv preprint arXiv:2310.06330, 2023 | | 2023 |
| Prediction in the presence of response-dependent missing labels H Song, G Raskutti, R Willett 2021 IEEE Statistical Signal Processing Workshop (SSP), 451-455, 2021 | | 2021 |
