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l1-Norm Minimization with Regula Falsi Type Root Finding Methods


May 01, 2021
Metin Vural, Aleksandr Y. Aravkin, Sławomir Stan'czak

* l1 -norm minimization, nonconvex models, Regula-Falsi, root-finding 

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Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning


Aug 24, 2020
Steven L. Brunton, J. Nathan Kutz, Krithika Manohar, Aleksandr Y. Aravkin, Kristi Morgansen, Jennifer Klemisch, Nicholas Goebel, James Buttrick, Jeffrey Poskin, Agnes Blom-Schieber, Thomas Hogan, Darren McDonald

* 35 pages, 16 figures 

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Trimmed Constrained Mixed Effects Models: Formulations and Algorithms


Sep 24, 2019
Peng Zheng, Aleksandr Y. Aravkin, Ryan Barber, Reed J. D. Sorensen, Christopher J. L. Murray

* 25 pages, 7 figures 

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A unified sparse optimization framework to learn parsimonious physics-informed models from data


Jun 25, 2019
Kathleen Champion, Peng Zheng, Aleksandr Y. Aravkin, Steven L. Brunton, J. Nathan Kutz

* 19 pages, 5 figures 

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A Unified Framework for Sparse Relaxed Regularized Regression: SR3


Sep 13, 2018
Peng Zheng, Travis Askham, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin

* 15 pages, 12 figures 

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Sparse Principal Component Analysis via Variable Projection


Sep 02, 2018
N. Benjamin Erichson, Peng Zheng, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin


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Generalized system identification with stable spline kernels


Jul 25, 2018
Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto

* 23 pages, 6 figures 

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Computer Assisted Localization of a Heart Arrhythmia


Jul 09, 2018
Chris Vogl, Peng Zheng, Stephen P. Seslar, Aleksandr Y. Aravkin

* 4 pages, 5 figures 

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Fast Robust Methods for Singular State-Space Models


Jun 28, 2018
Jonathan Jonker, Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, Sarah Webster

* 11 pages, 4 figures 

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Mean Reverting Portfolios via Penalized OU-Likelihood Estimation


Mar 17, 2018
Jize Zhang, Tim Leung, Aleksandr Y. Aravkin

* 7 pages, 6 figures 

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Time Series Using Exponential Smoothing Cells


Sep 29, 2017
Avner Abrami, Aleksandr Y. Aravkin, Younghun Kim

* 8 pages, 9 figures 

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Learning Robust Representations for Computer Vision


Jul 31, 2017
Peng Zheng, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Jayaraman Jayaraman Thiagarajan

* 8 pages, 7 pages 

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Shape Parameter Estimation


Jun 06, 2017
Peng Zheng, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy

* 20 pages, 10 figures 

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Boosting as a kernel-based method


Apr 13, 2017
Aleksandr Y. Aravkin, Giulio Bottegal, Gianluigi Pillonetto

* 22 pages, 7 figures 

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Beating level-set methods for 3D seismic data interpolation: a primal-dual alternating approach


Jul 09, 2016
Rajiv Kumar, Oscar López, Damek Davis, Aleksandr Y. Aravkin, Felix J. Herrmann

* 16 pages, 7 figures 

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Dynamic matrix factorization with social influence


Apr 21, 2016
Aleksandr Y. Aravkin, Kush R. Varshney, Liu Yang

* 6 pages, 5 figures 

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Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition


Mar 01, 2016
Aleksandr Y. Aravkin, Stephen Becker

* 38 pages, 10 figures. arXiv admin note: text overlap with arXiv:1406.1089 

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Robust EM kernel-based methods for linear system identification


Jan 07, 2016
Giulio Bottegal, Aleksandr Y. Aravkin, Håkan Hjalmarsson, Gianluigi Pillonetto

* Accepted for publication in Automatica 

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Automatic Inference of the Quantile Parameter


Nov 12, 2015
Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin, Jayaraman J. Thiagarajan

* 8 pages 

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Beyond L2-Loss Functions for Learning Sparse Models


Mar 26, 2014
Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin, Jayaraman J. Thiagarajan

* 10 pages, 6 figures 

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Smoothing Dynamic Systems with State-Dependent Covariance Matrices


Mar 20, 2014
Aleksandr Y. Aravkin, James V. Burke

* 8 pages, 1 figure 

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Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation


Mar 05, 2014
Aleksandr Y. Aravkin, Rajiv Kumar, Hassan Mansour, Ben Recht, Felix J. Herrmann

* 26 pages, 13 figures 

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Sparse Quantile Huber Regression for Efficient and Robust Estimation


Feb 19, 2014
Aleksandr Y. Aravkin, Anju Kambadur, Aurelie C. Lozano, Ronny Luss

* 9 pages 

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Semistochastic Quadratic Bound Methods


Feb 17, 2014
Aleksandr Y. Aravkin, Anna Choromanska, Tony Jebara, Dimitri Kanevsky

* 11 pages, 1 figure 

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Outlier robust system identification: a Bayesian kernel-based approach


Dec 24, 2013
Giulio Bottegal, Aleksandr Y. Aravkin, Hakan Hjalmarsson, Gianluigi Pillonetto

* 5 figures 

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Accelerating Hessian-free optimization for deep neural networks by implicit preconditioning and sampling


Dec 10, 2013
Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran

* this paper is not supposed to be posted publically before the conference in December due to company policy. another co-author was not informed of this and posted without the permission of the first author. pls remove 

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Improvements to deep convolutional neural networks for LVCSR


Dec 10, 2013
Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George E. Dahl, George Saon, Hagen Soltau, Tomas Beran, Aleksandr Y. Aravkin, Bhuvana Ramabhadran

* 6 pages, 1 figure 

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The connection between Bayesian estimation of a Gaussian random field and RKHS


Jul 17, 2013
Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto

* 8 pages, 2 figures 

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Fast Dual Variational Inference for Non-Conjugate LGMs


Jun 05, 2013
Mohammad Emtiyaz Khan, Aleksandr Y. Aravkin, Michael P. Friedlander, Matthias Seeger

* 9 pages, 3 figures 

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Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory


May 02, 2013
Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto

* 41 pages, 4 figures 

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