| Scissorhands: Exploiting the persistence of importance hypothesis for llm kv cache compression at test time Z Liu, A Desai, F Liao, W Wang, V Xie, Z Xu, A Kyrillidis, A Shrivastava Advances in Neural Information Processing Systems 36, 2024 | 22 | 2024 |
| On the convergence of shallow neural network training with randomly masked neurons F Liao, A Kyrillidis arXiv preprint arXiv:2112.02668, 2021 | 18 | 2021 |
| GIST: Distributed training for large-scale graph convolutional networks CR Wolfe, J Yang, F Liao, A Chowdhury, C Dun, A Bayer, S Segarra, ... Journal of Applied and Computational Topology, 1-53, 2023 | 12 | 2023 |
| LOFT: Finding lottery tickets through filter-wise training Q Wang, C Dun, F Liao, C Jermaine, A Kyrillidis International Conference on Artificial Intelligence and Statistics, 6498-6526, 2023 | 3 | 2023 |
| How much pre-training is enough to discover a good subnetwork? CR Wolfe, Q Wang, JL Kim, A Kyrillidis | 2 | 2021 |
| Strong Lottery Ticket Hypothesis with –perturbation Z Xiong, F Liao, A Kyrillidis International Conference on Artificial Intelligence and Statistics, 6879-6902, 2023 | 1 | 2023 |
| Provable Accelerated Convergence of Nesterov’s Momentum for Deep ReLU Neural Networks F Liao, A Kyrillidis International Conference on Algorithmic Learning Theory, 732-784, 2024 | | 2024 |
| On the Error-Propagation of Inexact Deflation for Principal Component Analysis F Liao, JL Kim, C Barnum, A Kyrillidis arXiv preprint arXiv:2310.04283, 2023 | | 2023 |
| Accelerated Convergence of Nesterov's Momentum for Deep Neural Networks under Partial Strong Convexity F Liao, A Kyrillidis arXiv preprint arXiv:2306.08109, 2023 | | 2023 |
| Strong Lottery Ticket Hypothesis with –perturbation F Liao, Z Xiong, A Kyrillidis OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022 | | 2022 |
