| Efficient algorithms for maximum likelihood decoding in the surface code S Bravyi, M Suchara, A Vargo Physical Review A 90 (3), 032326, 2014 | 267 | 2014 |
| Oversimplifying quantum factoring JA Smolin, G Smith, A Vargo Nature 499 (7457), 163-165, 2013 | 139 | 2013 |
| Approximation of realistic errors by Clifford channels and Pauli measurements M Gutiérrez, L Svec, A Vargo, KR Brown Physical Review A—Atomic, Molecular, and Optical Physics 87 (3), 030302, 2013 | 72 | 2013 |
| Simulation of rare events in quantum error correction S Bravyi, A Vargo Physical Review A—Atomic, Molecular, and Optical Physics 88 (6), 062308, 2013 | 63 | 2013 |
| A rank-based marker selection method for high throughput scRNA-seq data AHS Vargo, AC Gilbert BMC bioinformatics 21, 1-51, 2020 | 33 | 2020 |
| Decoding the spermatogenesis program: new insights from transcriptomic analyses M Rabbani, X Zheng, GL Manske, A Vargo, AN Shami, JZ Li, ... Annual review of genetics 56 (1), 339-368, 2022 | 27 | 2022 |
| Individually fair gradient boosting A Vargo, F Zhang, M Yurochkin, Y Sun arXiv preprint arXiv:2103.16785, 2021 | 18 | 2021 |
| Debiasing representations by removing unwanted variation due to protected attributes A Bower, L Niss, Y Sun, A Vargo arXiv preprint arXiv:1807.00461, 2018 | 18 | 2018 |
| Applications of Machine Learning: From Single Cell Biology to Algorithmic Fairness A Vargo | 1 | 2020 |
| Comparison of marker selection methods for high throughput scRNA-seq data AC Gilbert, A Vargo bioRxiv, 679761, 2019 | 1 | 2019 |
| Training individually fair machine learning algorithms via distributionally robust optimization S Upadhyay, M Yurochkin, D Mukherjee, Y Sun, ARG Bower, SH Eftekhari, ... US Patent App. 17/213,167, 2022 | | 2022 |
| Obstacles to State Preparation and Variational Optimization from Symmetry Protection E Tang, S Bravyi, R Koenig, A Vargo Quantum Information Processing Conference, 2020 | | 2020 |
