| Alternating minimization for generalized rank-1 matrix sensing: sharp predictions from a random initialization KA Chandrasekher, M Lou, A Pananjady Information and Inference: A Journal of the IMA 13 (3), iaae025, 2024 | 12 | 2024 |
| Hyperparameter tuning via trajectory predictions: Stochastic prox-linear methods in matrix sensing M Lou, KA Verchand, A Pananjady arXiv preprint arXiv:2402.01599, 2024 | 3 | 2024 |
| Do algorithms and barriers for sparse principal component analysis extend to other structured settings? G Wang, M Lou, A Pananjady IEEE Transactions on Signal Processing, 2024 | 1 | 2024 |
| Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization KA Verchand, M Lou, A Pananjady International Conference on Algorithmic Learning Theory, 808-809, 2024 | | 2024 |
| Computationally efficient reductions between some statistical models M Lou, G Bresler, A Pananjady arXiv preprint arXiv:2402.07717, 2024 | | 2024 |
| On seeded subgraph-to-subgraph matching: The ssSGM Algorithm and matchability information theory L Meng, M Lou, J Lin, V Lyzinski, DE Fishkind arXiv preprint arXiv:2306.04016, 2023 | | 2023 |
Ashwin PananjadyGeorgia Institute of Technology在 gatech.edu 的电子邮件经过验证
