| Exploiting shared representations for personalized federated learning L Collins, H Hassani, A Mokhtari, S Shakkottai International conference on machine learning, 2089-2099, 2021 | 839 | 2021 |
| Fedavg with fine tuning: Local updates lead to representation learning L Collins, H Hassani, A Mokhtari, S Shakkottai Advances in Neural Information Processing Systems 35, 10572-10586, 2022 | 95 | 2022 |
| Task-Robust Model-Agnostic Meta-Learning L Collins, A Mokhtari, S Shakkottai arXiv preprint arXiv:2002.04766, 2020 | 74* | 2020 |
| Maml and anil provably learn representations L Collins, A Mokhtari, S Oh, S Shakkottai International Conference on Machine Learning, 4238-4310, 2022 | 42 | 2022 |
| Infonce loss provably learns cluster-preserving representations A Parulekar, L Collins, K Shanmugam, A Mokhtari, S Shakkottai The Thirty Sixth Annual Conference on Learning Theory, 1914-1961, 2023 | 24 | 2023 |
| In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness L Collins*, A Parulekar*, A Mokhtari, S Sanghavi, ... arXiv preprint arXiv:2402.11639, 2024 | 18 | 2024 |
| Why does maml outperform erm? an optimization perspective L Collins, A Mokhtari, S Shakkottai arXiv preprint arXiv:2010.14672, 6, 2020 | 17 | 2020 |
| Provable multi-task representation learning by two-layer relu neural networks L Collins, H Hassani, M Soltanolkotabi, A Mokhtari, S Shakkottai Proceedings of machine learning research 235, 9292, 2024 | 11 | 2024 |
| Meta-learning for image-guided millimeter-wave beam selection in unseen environments J Gu, L Collins, D Roy, A Mokhtari, S Shakkottai, KR Chowdhury ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 7 | 2023 |
| Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning L Collins, S Wu, S Oh, KC Sim arXiv preprint arXiv:2310.04627, 2023 | 6 | 2023 |
| How Does the Task Landscape Affect MAML Performance? L Collins, A Mokhtari, S Shakkottai arXiv preprint arXiv:2010.14672, 2020 | 5 | 2020 |
| PerfedSI: A framework for personalized federated learning with side information L Collins, E Diao, T Roosta, J Ding, T Zhang | 2 | 2022 |
| Meta-Learning Adaptable Foundation Models JL Block, S Srinivasan, L Collins, A Mokhtari, S Shakkottai arXiv preprint arXiv:2410.22264, 2024 | | 2024 |
| The power of adaptivity in multi-task representation learning LG Collins | | 2024 |
Aryan MokhtariUniversity of Texas at Austinaustin.utexas.edu의 이메일 확인됨