| Tensor denoising and completion based on ordinal observations C Lee, M Wang International conference on machine learning, 5778-5788, 2020 | 18 | 2020 |
| Generalized tensor decomposition with features on multiple modes J Hu, C Lee, M Wang Journal of Computational and Graphical Statistics 31 (1), 204-218, 2022 | 12 | 2022 |
| Beyond the signs: Nonparametric tensor completion via sign series C Lee, M Wang Advances in Neural Information Processing Systems 34, 21782-21794, 2021 | 8 | 2021 |
| Smooth tensor estimation with unknown permutations C Lee, M Wang arXiv preprint arXiv:2111.04681, 2021 | 4 | 2021 |
| Nonparametric trace regression in high dimensions via sign series representation C Lee, L Li, HH Zhang, M Wang arXiv preprint arXiv:2105.01783, 2021 | 2 | 2021 |
| Statistical and computational rates in high rank tensor estimation C Lee, M Wang arXiv preprint arXiv:2304.04043, 2023 | 1 | 2023 |
| Sufficient dimension reduction for feature matrices C Lee arXiv preprint arXiv:2303.04286, 2023 | | 2023 |
| Statistical Methods for High-rank Tensor Estimation C Lee The University of Wisconsin-Madison, 2023 | | 2023 |
| Package ‘SmoothTensor’ C Lee, M Wang, MC Lee | | 2022 |
| Learning Multiple Networks via Supervised Tensor Decomposition J Hu, C Lee, M Wang Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020 …, 2020 | | 2020 |
| Nonparametric learning with matrix-valued predictors in high dimensions C Lee, L Li, HH Zhang, M Wang | | |
| Estimating smooth tensors with unknown permutations C Lee, M Wang | | |
| Nonparametric tensor estimation with unknown permutations C Lee, M Wang | | |
