20 citations · 21 across the 10 of their papers we have counts for
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stat.CO2025
Accelerating Proximal Gradient-type Algorithms using Damped Anderson Acceleration with Restarts and Nesterov Initialization
Nicholas C. Henderson, Ravi Varadhan
Despite their frequent slow convergence, proximal gradient schemes are widely used in large-scale optimization tasks due to their tremendous stability, scalability, and ease of com…
stat.CO2023
Parameter-Expanded ECME Algorithms for Logistic and Penalized Logistic Regression
Nicholas C. Henderson, Zhongzhe Ouyang
Parameter estimation in logistic regression is a well-studied problem with the Newton-Raphson method being one of the most prominent optimization techniques used in practice. A num…
stat.CO2018★ 1 cited
Damped Anderson acceleration with restarts and monotonicity control for accelerating EM and EM-like algorithms
Nicholas C. Henderson, Ravi Varadhan
The expectation-maximization (EM) algorithm is a well-known iterative method for computing maximum likelihood estimates from incomplete data. Despite its numerous advantages, a mai…