Collins, Liam

11 publications

NeurIPS 2025 Provable Meta-Learning with Low-Rank Adaptations Jacob L. Block, Sundararajan Srinivasan, Liam Collins, Aryan Mokhtari, Sanjay Shakkottai

NeurIPS 2024 In-Context Learning with Transformers: SoftMax Attention Adapts to Function Lipschitzness Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai

ICML 2024 Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai

COLT 2023 InfoNCE Loss Provably Learns Cluster-Preserving Representations Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai

NeurIPSW 2023 Profit: Benchmarking Personalization and Robustness Trade-Off in Federated Prompt Tuning Liam Collins, Shanshan Wu, Sewoong Oh, Khe Chai Sim

NeurIPS 2022 FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai

CoLLAs 2022 How Does the Task Landscape Affect MAML Performance? Liam Collins, Aryan Mokhtari, Sanjay Shakkottai

ICML 2022 MAML and ANIL Provably Learn Representations Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai

NeurIPSW 2022 PerFedSI: A Framework for Personalized Federated Learning with Side Information Liam Collins, Enmao Diao, Tanya Roosta, Jie Ding, Tao Zhang

ICML 2021 Exploiting Shared Representations for Personalized Federated Learning Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai

NeurIPS 2020 Task-Robust Model-Agnostic Meta-Learning Liam Collins, Aryan Mokhtari, Sanjay Shakkottai