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Papers
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms
ICML 2024
Efficient Algorithms for Sum-Of-Minimum Optimization
ICML 2024
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression
ICML 2024
Imbalanced Mixed Linear Regression
NeurIPS 2023
Mixed Linear Regression via Approximate Message Passing
AISTATS 2023
How to Distribute Data across Tasks for Meta-Learning?
AAAI 2022
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
ICML 2022
A Wasserstein Minimax Framework for Mixed Linear Regression
ICML 2021
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression
AISTATS 2021
Meta-learning for Mixed Linear Regression
ICML 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches
NeurIPS 2020
Iterative Least Trimmed Squares for Mixed Linear Regression
NeurIPS 2019
Mixed Linear Regression with Multiple Components
NeurIPS 2016
Alternating Minimization for Mixed Linear Regression
ICML 2014