Provable Guarantees for Gradient-Based Meta-Learning

27 February 2019

Papers citing "Provable Guarantees for Gradient-Based Meta-Learning"

50 / 97 papers shown

Title
Meta-learning of shared linear representations beyond well-specified linear regression Mathieu Even Laurent Massoulié 44 0 0 31 Jan 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yuqing Yang Xiao Lin Zhipeng Zhao SSL 86 9 0 28 Jan 2025
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates Shicheng Liu Minghui Zhu 49 0 0 21 Oct 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator Siyuan Xu Minghui Zhu OffRL 30 1 0 13 Oct 2024
A CMDP-within-online framework for Meta-Safe Reinforcement Learning Vanshaj Khattar Yuhao Ding Bilgehan Sel Javad Lavaei Ming Jin OffRL 32 12 0 26 May 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 77 1 0 17 Jan 2024
Metalearning with Very Few Samples Per Task Maryam Aliakbarpour Konstantina Bairaktari Gavin Brown Adam D. Smith Nathan Srebro Jonathan Ullman VLM 31 2 0 21 Dec 2023
Accelerating Meta-Learning by Sharing Gradients Oscar Chang Hod Lipson 24 0 0 13 Dec 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning Yihua Zhang Prashant Khanduri Ioannis C. Tsaknakis Yuguang Yao Min-Fong Hong Sijia Liu AI4CE 41 25 0 01 Aug 2023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability Anass Aghbalou Guillaume Staerman 14 4 0 31 May 2023
Towards Constituting Mathematical Structures for Learning to Optimize Jialin Liu Xiaohan Chen Zhangyang Wang W. Yin HanQin Cai 28 12 0 29 May 2023
Best-Effort Adaptation Pranjal Awasthi Corinna Cortes M. Mohri 21 7 0 10 May 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 26 4 0 08 Mar 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 43 8 0 23 Feb 2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection Daouda Sow Sen Lin Yitao Liang Junshan Zhang OOD 48 1 0 02 Feb 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes Konstantin Mishchenko Slavomír Hanzely Peter Richtárik FedML 26 5 0 17 Jan 2023
POMRL: No-Regret Learning-to-Plan with Increasing Horizons Khimya Khetarpal Claire Vernade Brendan O'Donoghue Satinder Singh Tom Zahavy OffRL 23 0 0 30 Dec 2022
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness Fredrik Hellström G. Durisi 21 13 0 12 Oct 2022
Generalization Properties of Retrieval-based Models Soumya Basu A. S. Rawat Manzil Zaheer 29 6 0 06 Oct 2022
Meta-Learning Online Control for Linear Dynamical Systems Deepan Muthirayan D. Kalathil Pramod P. Khargonekar 32 6 0 18 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 28 3 0 03 Aug 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning Lisha Chen Songtao Lu Tianyi Chen MLT 25 14 0 27 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 36 8 0 15 Jun 2022
A General framework for PAC-Bayes Bounds for Meta-Learning A. Rezazadeh AI4CE 21 4 0 11 Jun 2022
AdaTask: Adaptive Multitask Online Learning Pierre Laforgue A. Vecchia Nicolò Cesa-Bianchi Lorenzo Rosasco 20 2 0 31 May 2022
Meta-Learning Adversarial Bandits Maria-Florina Balcan Keegan Harris M. Khodak Zhiwei Steven Wu FedML AAML 35 7 0 27 May 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 29 27 0 17 Mar 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? Lisha Chen Tianyi BDL 24 16 0 06 Mar 2022
Provable and Efficient Continual Representation Learning Yingcong Li Mingchen Li M. Salman Asif Samet Oymak CLL 30 11 0 03 Mar 2022
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms Javad Azizi T. Duong Yasin Abbasi-Yadkori András Gyorgy Claire Vernade Mohammad Ghavamzadeh 34 8 0 25 Feb 2022
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 75 23 0 10 Feb 2022
Meta Learning MDPs with Linear Transition Models Robert Muller Aldo Pacchiano 17 3 0 21 Jan 2022
Learning Tensor Representations for Meta-Learning Samuel Deng Yilin Guo Daniel J. Hsu Debmalya Mandal FedML OOD SSL 23 2 0 18 Jan 2022
Non-Stationary Representation Learning in Sequential Linear Bandits Yuzhen Qin Tommaso Menara Samet Oymak ShiNung Ching Fabio Pasqualetti OffRL 34 17 0 13 Jan 2022
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 41 71 0 27 Oct 2021
Provable Lifelong Learning of Representations Xinyuan Cao Weiyang Liu Santosh Vempala CLL 21 13 0 27 Oct 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis Qi Chen Changjian Shui M. Marchand 40 43 0 29 Sep 2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness Zhenyi Wang Tiehang Duan Le Fang Qiuling Suo Mingchen Gao 191 18 0 29 Sep 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 38 58 0 09 Sep 2021
Learning-to-learn non-convex piecewise-Lipschitz functions Maria-Florina Balcan M. Khodak Dravyansh Sharma Ameet Talwalkar 21 13 0 19 Aug 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 26 6 0 06 Jul 2021
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning Nikunj Saunshi Arushi Gupta Wei Hu SSL 16 17 0 29 Jun 2021
Compositional federated learning: Applications in distributionally robust averaging and meta learning Feihu Huang Junyi Li FedML 22 15 0 21 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Bo-wen Li 37 88 0 16 Jun 2021
Online Continual Adaptation with Active Self-Training Shiji Zhou Han Zhao Shanghang Zhang Lianzhe Wang Heng Chang Zhi Wang Wenwu Zhu CLL 40 10 0 11 Jun 2021
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning Bokun Wang Zhuoning Yuan Yiming Ying Tianbao Yang FedML 50 9 0 09 Jun 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing M. Khodak Renbo Tu Tian Li Liam Li Maria-Florina Balcan Virginia Smith Ameet Talwalkar FedML 35 78 0 08 Jun 2021
Debiasing a First-order Heuristic for Approximate Bi-level Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller AI4CE 19 5 0 04 Jun 2021
Multitask Online Mirror Descent Nicolò Cesa-Bianchi Pierre Laforgue Andrea Paudice Massimiliano Pontil LRM 21 6 0 04 Jun 2021
Conditional Meta-Learning of Linear Representations Giulia Denevi Massimiliano Pontil C. Ciliberto 35 12 0 30 Mar 2021