307 citations · 693 across the 70 of their papers we have counts for
7 papers · 1 filter
Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods
Robert M. Freund, Paul Grigas, Rahul Mazumder
Logistic regression is one of the most popular methods in binary classification, wherein estimation of model parameters is carried out by solving the maximum likelihood (ML) optimi…
Randomized Gradient Boosting Machine
Haihao Lu, Rahul Mazumder
Gradient Boosting Machine (GBM) introduced by Friedman is a powerful supervised learning algorithm that is very widely used in practice---it routinely features as a leading algorit…
Using L1-relaxation and integer programming to obtain dual bounds for sparse PCA
Santanu S. Dey, Rahul Mazumder, Guanyi Wang
Principal component analysis (PCA) is one of the most widely used dimensionality reduction tools in data analysis. The PCA direction is a linear combination of all features with no…
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms
Hussein Hazimeh, Rahul Mazumder
The -regularized least squares problem (a.k.a. best subsets) is central to sparse statistical learning and has attracted significant attention across the wider statistics, mac…
Hierarchical Modeling and Shrinkage for User Session Length Prediction in Media Streaming
Antoine Dedieu, Rahul Mazumder, Zhen Zhu +1
An important metric of users' satisfaction and engagement within on-line streaming services is the user session length, i.e. the amount of time they spend on a service continuously…
Computation of the Maximum Likelihood estimator in low-rank Factor Analysis
Koulik Khamaru, Rahul Mazumder
Factor analysis, a classical multivariate statistical technique is popularly used as a fundamental tool for dimensionality reduction in statistics, econometrics and data science. E…