| How many machines can we use in parallel computing for kernel ridge regression? M Liu, Z Shang, G Cheng arXiv preprint arXiv:1805.09948, 2018 | 13 | 2018 |
| Sharp theoretical analysis for nonparametric testing under random projection M Liu, Z Shang, G Cheng Conference on Learning Theory, 2175-2209, 2019 | 12 | 2019 |
| Nonparametric testing under random projection M Liu, Z Shang, G Cheng arXiv preprint arXiv:1802.06308, 2018 | 9 | 2018 |
| Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets M Liu, Z Zhang, DB Dunson Neuroimage 245, 118750, 2021 | 8 | 2021 |
| Nonparametric distributed learning under general designs M Liu, Z Shang, G Cheng | 6 | 2020 |
| Minimax nonparametric parallelism test X Xing, M Liu, P Ma, W Zhong Journal of Machine Learning Research 21 (94), 1-47, 2020 | 6 | 2020 |
| Early stopping for nonparametric testing M Liu, G Cheng Advances in Neural Information Processing Systems 31, 2018 | 6 | 2018 |
| Auto-encoding graph-valued data with applications to brain connectomes M Liu, Z Zhang, DB Dunson arXiv preprint arXiv:1911.02728, 2019 | 4 | 2019 |
| Nonparametric Testing Under Randomized Sketching M Liu, Z Shang, Y Yang, G Cheng IEEE transactions on pattern analysis and machine intelligence 44 (8), 4280-4290, 2021 | 1 | 2021 |
| Scalable Statistical Inference in Non-parametric Least Squares M Liu, Z Shang, Y Yang arXiv preprint arXiv:2310.00881, 2023 | | 2023 |
| Motion-Invariant Variational Auto-Encoding of Brain Structural Connectomes Y Zhang, M Liu, Z Zhang, D Dunson arXiv preprint arXiv:2212.04535, 2022 | | 2022 |
| Robust Flow-based Conformal Inference (FCI) with Statistical Guarantee Y Ye, M Liu, X Xing arXiv preprint arXiv:2205.10732, 2022 | | 2022 |
| Exploration-Exploitation Motivated Variational Auto-Encoder for Recommender Systems Y Zhang, M Liu arXiv preprint arXiv:2006.03573, 2020 | | 2020 |
| Domain Adaptive Bootstrap Aggregating M Liu, DB Dunson arXiv preprint arXiv:2001.03988, 2020 | | 2020 |
| Variational Auto-encoder for Recommender Systems with Exploration-Exploitation. Y Zhang, H Yang, M Liu CoRR, 2020 | | 2020 |
| Reproducible Bootstrap Aggregating. M Liu, DB Dunson CoRR, 2020 | | 2020 |
| Auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets M Liu, Z Zhang, DB Dunson arXiv preprint arXiv:1911.02728, 2019 | | 2019 |
| Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression M Liu, J Honorio, G Cheng 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | | 2018 |
| delete this M Liu, G Cheng Advances in neural information processing systems, 2018 | | 2018 |
| Computationally Efficient Nonparametric Testing M Liu Purdue University, 2018 | | 2018 |
