Provable Guarantees for Gradient-Based Meta-Learning

27 February 2019

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

47 / 97 papers shown

Title
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning Zachary B. Charles Jakub Konecný FedML 23 63 0 08 Mar 2021
Meta-Learning with Graph Neural Networks: Methods and Applications Debmalya Mandal Sourav Medya Brian Uzzi Charu C. Aggarwal AI4CE 31 21 0 27 Feb 2021
A Regret Minimization Approach to Iterative Learning Control Naman Agarwal Elad Hazan Anirudha Majumdar Karan Singh 14 14 0 26 Feb 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability Alec Farid Anirudha Majumdar 27 34 0 12 Feb 2021
Meta-Learning with Neural Tangent Kernels Yufan Zhou Zhenyi Wang Jiayi Xian Changyou Chen Jinhui Xu 14 20 0 07 Feb 2021
Meta-strategy for Learning Tuning Parameters with Guarantees D. Meunier Pierre Alquier 35 8 0 04 Feb 2021
On Data Efficiency of Meta-learning Maruan Al-Shedivat Liam Li Eric P. Xing Ameet Talwalkar FedML 17 23 0 30 Jan 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 53 222 0 27 Jan 2021
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization Ruduan Plug BDL 11 0 0 03 Jan 2021
Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication Sen Lin M. Dedeoglu Junshan Zhang FedML 8 6 0 15 Dec 2020
Variable-Shot Adaptation for Online Meta-Learning Tianhe Yu Xinyang Geng Chelsea Finn Sergey Levine CLL OffRL 17 4 0 14 Dec 2020
Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment Paul Pu Liang Peter Wu Liu Ziyin Louis-Philippe Morency Ruslan Salakhutdinov 17 30 0 04 Dec 2020
A Nested Bi-level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty Changbin Li Chengli Zhao Rishabh K. Iyer Feng Chen 11 10 0 13 Nov 2020
Meta-learning Transferable Representations with a Single Target Domain Hong Liu Jeff Z. HaoChen Colin Wei Tengyu Ma AAML 35 5 0 03 Nov 2020
A Distribution-Dependent Analysis of Meta-Learning Mikhail Konobeev Ilja Kuzborskij Csaba Szepesvári OOD 18 5 0 31 Oct 2020
How Does the Task Landscape Affect MAML Performance? Liam Collins Aryan Mokhtari Sanjay Shakkottai 19 3 0 27 Oct 2020
System Identification via Meta-Learning in Linear Time-Varying Environments Sen Lin Hang Wang Junshan Zhang OffRL 32 2 0 27 Oct 2020
Meta-Learning Guarantees for Online Receding Horizon Learning Control Deepan Muthirayan Pramod P. Khargonekar 12 2 0 21 Oct 2020
Theoretical bounds on estimation error for meta-learning James Lucas Mengye Ren Irene Kameni T. Pitassi R. Zemel 20 12 0 14 Oct 2020
Dif-MAML: Decentralized Multi-Agent Meta-Learning Mert Kayaalp Stefan Vlaski Ali H. Sayed 12 28 0 06 Oct 2020
A Meta-Learning Control Algorithm with Provable Finite-Time Guarantees Deepan Muthirayan Pramod P. Khargonekar 12 0 0 30 Aug 2020
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning Giulia Denevi Massimiliano Pontil C. Ciliberto 34 39 0 25 Aug 2020
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 48 81 0 25 Aug 2020
On Localized Discrepancy for Domain Adaptation Yuchen Zhang Mingsheng Long Jianmin Wang Michael I. Jordan 13 18 0 14 Aug 2020
Online Parameter-Free Learning of Multiple Low Variance Tasks Giulia Denevi Dimitris Stamos Massimiliano Pontil 6 0 0 11 Jul 2020
Meta-Learning with Network Pruning Hongduan Tian Bo Liu Xiaotong Yuan Qingshan Liu 11 27 0 07 Jul 2020
Covariate Distribution Aware Meta-learning Amrith Rajagopal Setlur Saket Dingliwal Barnabás Póczós OOD BDL 29 0 0 06 Jul 2020
Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets Haoxiang Wang Ruoyu Sun Bo Li MLT AI4CE 14 14 0 25 Jun 2020
On the Global Optimality of Model-Agnostic Meta-Learning Lingxiao Wang Qi Cai Zhuoran Yang Zhaoran Wang 14 43 0 23 Jun 2020
On the Theory of Transfer Learning: The Importance of Task Diversity Nilesh Tripuraneni Michael I. Jordan Chi Jin 6 216 0 20 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller 32 7 0 05 Jun 2020
Meta-learning with Stochastic Linear Bandits Leonardo Cella A. Lazaric Massimiliano Pontil FedML 22 56 0 18 May 2020
Understanding and Improving Information Transfer in Multi-Task Learning Sen Wu Hongyang R. Zhang Christopher Ré 18 154 0 02 May 2020
Weighted Meta-Learning Diana Cai Rishit Sheth Lester W. Mackey Nicolò Fusi 35 12 0 20 Mar 2020
Provable Meta-Learning of Linear Representations Nilesh Tripuraneni Chi Jin Michael I. Jordan OOD 14 188 0 26 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji Junjie Yang Yingbin Liang 14 49 0 18 Feb 2020
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning Alireza Fallah Kristian Georgiev Aryan Mokhtari Asuman Ozdaglar 25 22 0 12 Feb 2020
Task-Robust Model-Agnostic Meta-Learning Liam Collins Aryan Mokhtari Sanjay Shakkottai OOD 11 13 0 12 Feb 2020
Differentiable Meta-learning Model for Few-shot Semantic Segmentation Pinzhuo Tian Zhangkai Wu Lei Qi Lei Wang Yinghuan Shi Yang Gao VLM 12 82 0 23 Nov 2019
Differentially Private Meta-Learning Jeffrey Li M. Khodak S. Caldas Ameet Talwalkar FedML 35 106 0 12 Sep 2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 22 226 0 27 Aug 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 33 353 0 06 Jun 2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization Giulia Denevi C. Ciliberto Riccardo Grazzi Massimiliano Pontil 20 108 0 25 Mar 2019
Online Meta-Learning Chelsea Finn Aravind Rajeswaran Sham Kakade Sergey Levine CLL 17 246 0 22 Feb 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 110 716 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,199 0 16 Aug 2016