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NoisyCUR: An algorithm for two-cost budgeted matrix completion


Apr 16, 2021
Dong Hu, Alex Gittens, Malik Magdon-Ismail


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Training Deep Neural Networks with Constrained Learning Parameters


Sep 01, 2020
Prasanna Date, Christopher D. Carothers, John E. Mitchell, James A. Hendler, Malik Magdon-Ismail


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A New Mathematical Model for Controlled Pandemics Like COVID-19 : AI Implemented Predictions


Aug 24, 2020
Liam Dowling Jones, Malik Magdon-Ismail, Laura Mersini-Houghton, Steven Meshnick


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Machine Learning the Phenomenology of COVID-19 From Early Infection Dynamics


Apr 03, 2020
Malik Magdon-Ismail

* Test data up to April 02. Reorganized a little 

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Fast Fixed Dimension L2-Subspace Embeddings of Arbitrary Accuracy, With Application to L1 and L2 Tasks


Sep 27, 2019
Malik Magdon-Ismail, Alex Gittens


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Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines


Feb 21, 2019
Aritra Chowdhury, Malik Magdon-Ismail, Bulent Yener


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PD-ML-Lite: Private Distributed Machine Learning from Lighweight Cryptography


Jan 23, 2019
Maksim Tsikhanovich, Malik Magdon-Ismail, Muhammad Ishaq, Vassilis Zikas


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Network Lens: Node Classification in Topologically Heterogeneous Networks


Jan 15, 2019
Kshiteesh Hegde, Malik Magdon-Ismail


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The Intrinsic Scale of Networks is Small


Jan 15, 2019
Malik Magdon-Ismail, Kshiteesh Hegde


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Examining the Use of Neural Networks for Feature Extraction: A Comparative Analysis using Deep Learning, Support Vector Machines, and K-Nearest Neighbor Classifiers


Jun 12, 2018
Stephen Notley, Malik Magdon-Ismail


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Network Signatures from Image Representation of Adjacency Matrices: Deep/Transfer Learning for Subgraph Classification


Apr 17, 2018
Kshiteesh Hegde, Malik Magdon-Ismail, Ram Ramanathan, Bishal Thapa


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Node-By-Node Greedy Deep Learning for Interpretable Features


Feb 19, 2016
Ke Wu, Malik Magdon-Ismail


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Approximating Sparse PCA from Incomplete Data


Mar 12, 2015
Abhisek Kundu, Petros Drineas, Malik Magdon-Ismail


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Recovering PCA from Hybrid-$(\ell_1,\ell_2)$ Sparse Sampling of Data Elements


Mar 02, 2015
Abhisek Kundu, Petros Drineas, Malik Magdon-Ismail


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Optimal Sparse Linear Auto-Encoders and Sparse PCA


Feb 23, 2015
Malik Magdon-Ismail, Christos Boutsidis


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NP-Hardness and Inapproximability of Sparse PCA


Feb 20, 2015
Malik Magdon-Ismail


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Feature Selection for Linear SVM with Provable Guarantees


Feb 06, 2015
Saurabh Paul, Malik Magdon-Ismail, Petros Drineas

* Appearing in Proceedings of 18th AISTATS, JMLR W&CP, vol 38, 2015 

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Random Projections for Linear Support Vector Machines


Apr 17, 2014
Saurabh Paul, Christos Boutsidis, Malik Magdon-Ismail, Petros Drineas

* To appear in ACM TKDD, 2014. Shorter version appeared at AISTATS 2013 

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The Fast Cauchy Transform and Faster Robust Linear Regression


Apr 05, 2014
Kenneth L. Clarkson, Petros Drineas, Malik Magdon-Ismail, Michael W. Mahoney, Xiangrui Meng, David P. Woodruff

* 48 pages; substantially extended and revised; short version in SODA 2013 

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Near-optimal Coresets For Least-Squares Regression


Jun 21, 2013
Christos Boutsidis, Petros Drineas, Malik Magdon-Ismail

* To appear in IEEE Transactions on Information Theory 

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Deterministic Feature Selection for $k$-means Clustering


Jun 21, 2013
Christos Boutsidis, Malik Magdon-Ismail

* To appear in IEEE Transactions on Information Theory 

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Fast approximation of matrix coherence and statistical leverage


Dec 05, 2012
Petros Drineas, Malik Magdon-Ismail, Michael W. Mahoney, David P. Woodruff

* 29 pages; conference version is in ICML; journal version is in JMLR 

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Near-Optimal Target Learning With Stochastic Binary Signals


Feb 14, 2012
Mithun Chakraborty, Sanmay Das, Malik Magdon-Ismail


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Pushing Your Point of View: Behavioral Measures of Manipulation in Wikipedia


Nov 09, 2011
Sanmay Das, Allen Lavoie, Malik Magdon-Ismail


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Comparing Prediction Market Structures, With an Application to Market Making


Sep 08, 2010
Aseem Brahma, Sanmay Das, Malik Magdon-Ismail


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