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Predicting Census Survey Response Rates via Interpretable Nonparametric Additive Models with Structured Interactions


Aug 24, 2021
Shibal Ibrahim, Rahul Mazumder, Peter Radchenko, Emanuel Ben-David

* 33 pages, 6 figures 

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DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning


Jun 09, 2021
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi


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Linear regression with partially mismatched data: local search with theoretical guarantees


Jun 03, 2021
Rahul Mazumder, Haoyue Wang


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Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives


Apr 14, 2021
Hussein Hazimeh, Rahul Mazumder, Peter Radchenko


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Archetypal Analysis for Sparse Nonnegative Matrix Factorization: Robustness Under Misspecification


Apr 08, 2021
Kayhan Behdin, Rahul Mazumder


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Multivariate Convex Regression at Scale


May 23, 2020
Wenyu Chen, Rahul Mazumder


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Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization


Apr 13, 2020
Hussein Hazimeh, Rahul Mazumder, Ali Saab


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The Tree Ensemble Layer: Differentiability meets Conditional Computation


Feb 18, 2020
Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder


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Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives


Jan 17, 2020
Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder


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Computing Estimators of Dantzig Selector type via Column and Constraint Generation


Aug 18, 2019
Rahul Mazumder, Stephen Wright, Andrew Zheng


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Learning Hierarchical Interactions at Scale: A Convex Optimization Approach


Feb 06, 2019
Hussein Hazimeh, Rahul Mazumder


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Solving large-scale L1-regularized SVMs and cousins: the surprising effectiveness of column and constraint generation


Jan 06, 2019
Antoine Dedieu, Rahul Mazumder


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Randomized Gradient Boosting Machine


Oct 28, 2018
Haihao Lu, Rahul Mazumder


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Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods


Oct 20, 2018
Robert M. Freund, Paul Grigas, Rahul Mazumder

* 38 pages 

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Hierarchical Modeling and Shrinkage for User Session Length Prediction in Media Streaming


Jun 22, 2018
Antoine Dedieu, Rahul Mazumder, Zhen Zhu, Hossein Vahabi

* 20 pages 

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Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms


Mar 06, 2018
Hussein Hazimeh, Rahul Mazumder


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Matrix Completion with Nonconvex Regularization: Spectral Operators and Scalable Algorithms


Jan 24, 2018
Rahul Mazumder, Diego F. Saldana, Haolei Weng


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Computation of the Maximum Likelihood estimator in low-rank Factor Analysis


Jan 18, 2018
Koulik Khamaru, Rahul Mazumder

* 22 pages, 4 figures 

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Flexible Low-Rank Statistical Modeling with Side Information


Aug 22, 2017
William Fithian, Rahul Mazumder

* 20 pages, 4 figures 

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The Trimmed Lasso: Sparsity and Robustness


Aug 15, 2017
Dimitris Bertsimas, Martin S. Copenhaver, Rahul Mazumder

* 32 pages (excluding appendix); 4 figures 

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Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low


Aug 10, 2017
Rahul Mazumder, Peter Radchenko, Antoine Dedieu


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The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization


Jan 19, 2017
Rahul Mazumder, Peter Radchenko


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An Extended Frank-Wolfe Method with "In-Face" Directions, and its Application to Low-Rank Matrix Completion


Nov 06, 2015
Robert M. Freund, Paul Grigas, Rahul Mazumder

* 25 pages, 3 tables and 2 figues 

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Best Subset Selection via a Modern Optimization Lens


Jul 11, 2015
Dimitris Bertsimas, Angela King, Rahul Mazumder

* This is a revised version (May, 2015) of the first submission in June 2014 

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A New Perspective on Boosting in Linear Regression via Subgradient Optimization and Relatives


May 16, 2015
Robert M. Freund, Paul Grigas, Rahul Mazumder


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Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares


Oct 09, 2014
Trevor Hastie, Rahul Mazumder, Jason Lee, Reza Zadeh


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AdaBoost and Forward Stagewise Regression are First-Order Convex Optimization Methods


Jul 04, 2013
Robert M. Freund, Paul Grigas, Rahul Mazumder


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The Graphical Lasso: New Insights and Alternatives


Aug 07, 2012
Rahul Mazumder, Trevor Hastie

* This is a revised version of our previous manuscript with the same name ArXiv id: http://arxiv.org/abs/1111.5479 

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A Flexible, Scalable and Efficient Algorithmic Framework for Primal Graphical Lasso


Oct 25, 2011
Rahul Mazumder, Deepak K. Agarwal


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