Search Results for author: Md Sarowar Morshed

Found 4 papers, 0 papers with code

ALS: Augmented Lagrangian Sketching Methods for Linear Systems

no code implementations12 Aug 2022 Md Sarowar Morshed

Furthermore, the proposed ALS method synthesizes a wide variety of new stochastic methods such as Augmented Newton Descent, Augmented Kaczmarz, Augmented Stochastic Descent, Augmented Coordinate Descent, Augmented Gaussian Pursuit, and Augmented Block Kaczmarz into one framework.

Stochastic Optimization

Augmented Newton Method for Optimization: Global Linear Rate and Momentum Interpretation

no code implementations23 May 2022 Md Sarowar Morshed

Our method leverages optimization techniques such as penalty and augmented Lagrangian method to generate novel variants of the Newton method namely the Penalty Newton method and the Augmented Newton method.

Stochastic Steepest Descent Methods for Linear Systems: Greedy Sampling & Momentum

no code implementations24 Dec 2020 Md Sarowar Morshed, Sabbir Ahmad, Md Noor-E-Alam

We then introduce two greedy sampling strategies in the SSD framework that allow us to obtain algorithms such as Sampling Kaczmarz Motzkin (SKM), Sampling Block Kaczmarz (SBK), Sampling Coordinate Descent (SCD), etc.

Numerical Analysis Numerical Analysis

A Computational Framework for Solving Nonlinear Binary OptimizationProblems in Robust Causal Inference

no code implementations22 Dec 2020 Md Saiful Islam, Md Sarowar Morshed, Md. Noor-E-Alam

While causal inference requires randomized experiments, researchers and policymakers are increasingly using observational studies to test causal hypotheses due to the wide availability of observational data and the infeasibility of experiments.

Causal Inference Decision Making

Cannot find the paper you are looking for? You can Submit a new open access paper.