Meta-learning for mixed linear regression

Meta-learning for mixed linear regression

20 February 2020

Papers citing "Meta-learning for mixed linear regression"

19 / 19 papers shown

Title
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination Ilias Diakonikolas Giannis Iakovidis D. Kane Thanasis Pittas 76 0 0 20 Feb 2025
Entangled Mean Estimation in High-Dimensions Ilias Diakonikolas D. Kane Sihan Liu Thanasis Pittas 41 1 0 10 Jan 2025
Initializing Services in Interactive ML Systems for Diverse Users Avinandan Bose Mihaela Curmei Daniel L. Jiang Jamie Morgenstern Sarah Dean Lillian J. Ratliff Maryam Fazel 21 5 0 19 Dec 2023
Near-Optimal Mean Estimation with Unknown, Heteroskedastic Variances Spencer Compton Gregory Valiant 23 2 0 05 Dec 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 26 4 0 08 Mar 2023
Efficient List-Decodable Regression using Batches Abhimanyu Das Ayush Jain Weihao Kong Rajat Sen 28 4 0 23 Nov 2022
Learning Mixtures of Markov Chains and MDPs Chinmaya Kausik Kevin Tan Ambuj Tewari 13 11 0 17 Nov 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD Yu Huang Yingbin Liang Longbo Huang MLT 26 8 0 18 Jun 2022
Global Convergence of Federated Learning for Mixed Regression Lili Su Jiaming Xu Pengkun Yang FedML 30 7 0 15 Jun 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
Learning Mixtures of Linear Dynamical Systems Yanxi Chen H. Vincent Poor 20 17 0 26 Jan 2022
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 40 165 0 15 Dec 2020
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization Sitan Chen Xiaoxiao Li Zhao Song Danyang Zhuo 19 13 0 23 Nov 2020
Stochastic Linear Bandits with Protected Subspace Advait Parulekar Soumya Basu Aditya Gopalan Karthikeyan Shanmugam Sanjay Shakkottai 76 2 0 02 Nov 2020
Understanding and Improving Information Transfer in Multi-Task Learning Sen Wu Hongyang R. Zhang Christopher Ré 18 154 0 02 May 2020
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 202 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Estimating Learnability in the Sublinear Data Regime Weihao Kong Gregory Valiant 43 29 0 04 May 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,700 0 09 Mar 2017