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Liam Collins
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Exploiting shared representations for personalized federated learning
L Collins, H Hassani, A Mokhtari, S Shakkottai
International conference on machine learning, 2089-2099, 2021
4722021
Task-Robust Model-Agnostic Meta-Learning
L Collins, A Mokhtari, S Shakkottai
arXiv preprint arXiv:2002.04766, 2020
55*2020
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
462022
Maml and anil provably learn representations
L Collins, A Mokhtari, S Oh, S Shakkottai
International Conference on Machine Learning, 4238-4310, 2022
262022
Why does maml outperform erm? an optimization perspective
L Collins, A Mokhtari, S Shakkottai
arXiv preprint arXiv:2010.14672, 6, 2020
152020
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
102023
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
42023
Provable multi-task representation learning by two-layer relu neural networks
L Collins, H Hassani, M Soltanolkotabi, A Mokhtari, S Shakkottai
arXiv preprint arXiv:2307.06887, 2023
32023
How Does the Task Landscape Affect MAML Performance?
L Collins, A Mokhtari, S Shakkottai
arXiv preprint arXiv:2010.14672, 2020
32020
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
12024
PerfedSI: A framework for personalized federated learning with side information
L Collins, E Diao, T Roosta, J Ding, T Zhang
Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022
12022
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
2023
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Articles 1–12