On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression

4 June 2020

Papers citing "On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression"

6 / 6 papers shown

Title
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 27 0 0 11 Aug 2024
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts Huy Nguyen Pedram Akbarian TrungTin Nguyen Nhat Ho 16 10 0 22 Oct 2023
EM's Convergence in Gaussian Latent Tree Models Y. Dagan C. Daskalakis Anthimos Vardis Kandiros 25 2 0 21 Nov 2022
Reward-Mixing MDPs with a Few Latent Contexts are Learnable Jeongyeol Kwon Yonathan Efroni C. Caramanis Shie Mannor 27 5 0 05 Oct 2022
Reinforcement Learning in Reward-Mixing MDPs Jeongyeol Kwon Yonathan Efroni C. Caramanis Shie Mannor 25 15 0 07 Oct 2021
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression Linjun Zhang Rong Ma T. Tony Cai Hongzhe Li 33 12 0 06 Nov 2020