From the 1 of 4 linked papers with an AI index.
4 papers
First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints
Zhankun Luo, Antesh Upadhyay, Sang Bin Moon +1
The paper introduces a first-order Softmax‑Weighted Switching Gradient algorithm for distributed stochastic minimax optimization with stochastic constraints, offering theoretical g…
Unified High-Probability Analysis of Stochastic Variance-Reduced Estimation
Zhankun Luo, Antesh Upadhyay, M. Berk Sahin +3
Stochastic estimators are fundamental to large-scale optimization, where population quantities must be inferred from noisy oracle observations. Although influential methods such as…
Characterizing Evolution in Expectation-Maximization Estimates for Overspecified Mixed Linear Regression
Zhankun Luo, Abolfazl Hashemi
Mixture models have attracted significant attention due to practical effectiveness and comprehensive theoretical foundations. A persisting challenge is model misspecification, whic…
Structural Properties, Cycloid Trajectories and Non-Asymptotic Guarantees of EM Algorithm for Mixed Linear Regression
Zhankun Luo, Abolfazl Hashemi
This work investigates the structural properties, cycloid trajectories, and non-asymptotic convergence guarantees of the Expectation-Maximization (EM) algorithm for two-component M…