Sample Efficient Linear Meta-Learning by Alternating Minimization

18 May 2021

Papers citing "Sample Efficient Linear Meta-Learning by Alternating Minimization"

9 / 9 papers shown

Title
FloE: On-the-Fly MoE Inference on Memory-constrained GPU Yuxin Zhou Zheng Li J. Zhang Jue Wang Yanjie Wang Zhongle Xie Ke Chen Lidan Shou MoE 54 0 0 09 May 2025
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA Shuangyi Chen Yuanxin Guo Yue Ju Harik Dalal Ashish Khisti 48 2 0 03 Feb 2025
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits Jiabin Lin Shana Moothedath Namrata Vaswani 64 4 0 08 Jan 2025
Blessing of Class Diversity in Pre-training Yulai Zhao Jianshu Chen S. Du AI4CE 26 3 0 07 Sep 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 32 75 0 27 May 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 43 16 0 29 Mar 2022
Linear Speedup in Personalized Collaborative Learning El Mahdi Chayti Sai Praneeth Karimireddy Sebastian U. Stich Nicolas Flammarion Martin Jaggi FedML 21 13 0 10 Nov 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 186 640 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 383 11,700 0 09 Mar 2017