Fully Interpretable Deep Learning Model of Transcriptional Control Y Liu, K Barr, J Reinitz bioRxiv, 655639, 2019 | 34 | 2019 |
Variable selection with ABC Bayesian forests Y Liu, V Ročková, Y Wang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021 | 27 | 2021 |
Variable selection via Thompson sampling Y Liu, V Ročková Journal of the American Statistical Association 118 (541), 287-304, 2023 | 18 | 2023 |
ABC variable selection with Bayesian forests Y Liu, V Rocková, Y Wang arXiv preprint arXiv:1806.02304, 2018 | 14 | 2018 |
User data overlap determination in a digital medium environment K Modarresi, Y Liu, PP Shenoy, A Nayebi, PS Javangula US Patent 11,651,382, 2023 | 8 | 2023 |
Segment Extension Based on Lookalike Selection K Modarresi, I Radu, C Menguy, JV Muthiyil, Y Liu, S Qiang, A Nayebi US Patent App. 15/700,343, 2019 | 8 | 2019 |
Security Breach Detection in a Digital Medium Environment Y Liu, KK Veturi, K Modarresi US Patent App. 15/406,494, 2018 | 4 | 2018 |
Non-parametric bayesian inference with application to system biology Y Liu The University of Chicago, 2022 | 2 | 2022 |
Efficient hybrid algorithms for computing clusters overlap P Javangula, K Modarre, P Shenoy, Y Liu, A Nayebi Procedia Computer Science 108, 1050-1059, 2017 | 2 | 2017 |
A statistically consistent measure of Semantic Variability using Language Models Y Liu arXiv preprint arXiv:2502.00507, 2025 | | 2025 |
Variable Selection via Thompson Sampling (Revision) Y Liu, V Ročková Journal of the American Statistical Association, 1-41, 2021 | | 2021 |