Aleksandr Y. Aravkin

J. Nathan Kutz

IEEE Access, 2024

2023

pysr3: A Python Package for Sparse Relaxed Regularized Regression.

[BibT_eX]

[DOI]

Aleksei Sholokhov

J. Open Source Softw., June, 2023

Deep networks for system identification: a Survey.

[BibT_eX]

[DOI]

CoRR, 2023

A Levenberg-Marquardt Method for Nonsmooth Regularized Least Squares.

[BibT_eX]

[DOI]

Robert J. Baraldi

Dominique Orban

CoRR, 2023

2022

A Proximal Quasi-Newton Trust-Region Method for Nonsmooth Regularized Optimization.

[BibT_eX]

[DOI]

Robert J. Baraldi

Dominique Orban

SIAM J. Optim., 2022

Robust and Scalable Methods for the Dynamic Mode Decomposition.

[BibT_eX]

[DOI]

SIAM J. Appl. Dyn. Syst., 2022

Robust trimmed k-means.

[BibT_eX]

[DOI]

Olga Dorabiala

J. Nathan Kutz

Pattern Recognit. Lett., 2022

A Nonconvex Optimization Approach to IMRT Planning with Dose-Volume Constraints.

[BibT_eX]

[DOI]

Kelsey Maass

Minsun Kim

INFORMS J. Comput., 2022

Spatiotemporal k-means.

[BibT_eX]

[DOI]

CoRR, 2022

2021

On the Global Minimizers of Real Robust Phase Retrieval With Sparse Noise.

[BibT_eX]

[DOI]

Daiwei He

IEEE Trans. Inf. Theory, 2021

Efficient Robust Parameter Identification in Generalized Kalman Smoothing Models.

[BibT_eX]

[DOI]

Jonathan Jonker

IEEE Trans. Autom. Control., 2021

$\ell _{1}$-Norm Minimization With Regula Falsi Type Root Finding Methods.

[BibT_eX]

[DOI]

Metin Vural

Slawomir Stanczak

IEEE Signal Process. Lett., 2021

Variable Projection for NonSmooth Problems.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2021

Time-Varying Autoregression with Low-Rank Tensors.

[BibT_eX]

[DOI]

Kameron Decker Harris

Rajesh Rao

Bingni Wen Brunton

SIAM J. Appl. Dyn. Syst., 2021

Estimating Shape Parameters of Piecewise Linear-Quadratic Problems.

[BibT_eX]

[DOI]

Jean-Christophe Gagnon-Audet

Open J. Math. Optim., 2021

Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks.

[BibT_eX]

[DOI]

Neural Comput., 2021

Trimmed Constrained Mixed Effects Models: Formulations and Algorithms.

[BibT_eX]

[DOI]

Ryan Barber

Reed J. D. Sorensen

Christopher J. L. Murray

J. Comput. Graph. Stat., 2021

Theoretical Advances in Current Estimation and Navigation from a Glider-Based Acoustic Doppler Current Profiler (ADCP).

[BibT_eX]

[DOI]

Jacob Stevens-Haas

Sarah E. Webster

CoRR, 2021

A feasibility study of a hyperparameter tuning approach to automated inverse planning in radiotherapy.

[BibT_eX]

[DOI]

Kelsey Maass

Minsun Kim

CoRR, 2021

Analysis of Truncated Orthogonal Iteration for Sparse Eigenvector Problems.

[BibT_eX]

[DOI]

Hexuan Liu

CoRR, 2021

Stable and robust LQR design via scenario approach.

[BibT_eX]

[DOI]

Anna Scampicchio

Autom., 2021

2020

Sparse Principal Component Analysis via Variable Projection.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 2020

Trimmed Statistical Estimation via Variance Reduction.

[BibT_eX]

[DOI]

Damek Davis

Math. Oper. Res., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Physics-informed machine learning for sensor fault detection with flight test data.

[BibT_eX]

[DOI]

CoRR, 2020

Offline state estimation for hybrid systems via nonsmooth variable projection.

[BibT_eX]

[DOI]

Autom., 2020

Sparse mean-reverting portfolios via penalized likelihood optimization.

[BibT_eX]

[DOI]

Jize Zhang

Tim Leung

Autom., 2020

A Unified Sparse Optimization Framework to Learn Parsimonious Physics-Informed Models From Data.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Basis Pursuit Denoise With Nonsmooth Constraints.

[BibT_eX]

[DOI]

Robert J. Baraldi

Rajiv Kumar

IEEE Trans. Signal Process., 2019

Adapting Regularized Low-Rank Models for Parallel Architectures.

[BibT_eX]

[DOI]

Derek Driggs

Stephen Becker

SIAM J. Sci. Comput., 2019

Level-set methods for convex optimization.

[BibT_eX]

[DOI]

Dmitriy Drusvyatskiy

Scott Roy

Math. Program., 2019

Boosting as a kernel-based method.

[BibT_eX]

[DOI]

Giulio Bottegal

Mach. Learn., 2019

Fast robust methods for singular state-space models.

[BibT_eX]

[DOI]

Autom., 2019

A Unified Framework for Sparse Relaxed Regularized Regression: SR3.

[BibT_eX]

[DOI]

IEEE Access, 2019

Robust Singular Smoothers for Tracking Using Low-Fidelity Data.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XV, 2019

Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

A Relaxed Optimization Approach for Cardinality-Constrained Portfolios.

[BibT_eX]

[DOI]

Jize Zhang

Tim Leung

Proceedings of the 17th European Control Conference, 2019

2018

Efficient Quadratic Penalization Through the Partial Minimization Technique.

[BibT_eX]

[DOI]

Dmitriy Drusvyatskiy

IEEE Trans. Autom. Control., 2018

Generalized System Identification with Stable Spline Kernels.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2018

Foundations of Gauge and Perspective Duality.

[BibT_eX]

[DOI]

Dmitriy Drusvyatskiy

Kellie J. MacPhee

SIAM J. Optim., 2018

Total Variation Regularization Strategies in Full-Waveform Inversion.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2018

Sparse Relaxed Regularized Regression: SR3.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM.

[BibT_eX]

[DOI]

CoRR, 2018

Sparse Principal Component Analysis via Variable Projection.

[BibT_eX]

[DOI]

CoRR, 2018

Mean Reverting Portfolios via Penalized OU-Likelihood Estimation.

[BibT_eX]

[DOI]

Jize Zhang

Tim Leung

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Beating Level-Set Methods for 5-D Seismic Data Interpolation: A Primal-Dual Alternating Approach.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2017

Generalized Kalman smoothing: Modeling and algorithms.

[BibT_eX]

[DOI]

Autom., 2017

Learning Robust Representations for Computer Vision.

[BibT_eX]

[DOI]

Jayaraman J. Thiagarajan

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Distributed Bundle Adjustment.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Analytics for understanding customer behavior in the energy and utility industry.

[BibT_eX]

[DOI]

IBM J. Res. Dev., 2016

A SMART Stochastic Algorithm for Nonconvex Optimization with Applications to Robust Machine Learning.

[BibT_eX]

[DOI]

Damek Davis

CoRR, 2016

Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition.

[BibT_eX]

[DOI]

Stephen Becker

CoRR, 2016

Robust EM kernel-based methods for linear system identification.

[BibT_eX]

[DOI]

Autom., 2016

A stable spline convex approach to hybrid systems identification.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Dynamic matrix factorization with social influence.

[BibT_eX]

[DOI]

Kush R. Varshney

Liu Yang

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Beyond L2-loss functions for learning sparse models.

[BibT_eX]

[DOI]

Alberto Costa Nogueira Jr.

Jayaraman J. Thiagarajan

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Source estimation for wave equations with uncertain parameters.

[BibT_eX]

[DOI]

Sergiy Zhuk

Stephen Moore

Proceedings of the 14th European Control Conference, 2015

Adaptive as-natural-as-possible image stitching.

[BibT_eX]

[DOI]

Chung-Ching Lin

Sharathchandra Pankanti

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Outlier robust kernel-based system identification using ℓ1-Laplace techniques.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Fast Methods for Denoising Matrix Completion Formulations, with Applications to Robust Seismic Data Interpolation.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2014

Robust and Trend-Following Student's t Kalman Smoothers.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2014

Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Sparse Quantile Huber Regression for Efficient and Robust Estimation.

[BibT_eX]

[DOI]

CoRR, 2014

Semistochastic Quadratic Bound Methods for Convex and Nonconvex Learning Problems.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

A variational approach to stable principal component pursuit.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

A new kernel-based approach for identification of time-varying linear systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Kalman smoothing with persistent nuisance parameters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Orthogonal Matching Pursuit for Sparse Quantile Regression.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Iterative log thresholding.

[BibT_eX]

[DOI]

Dmitry Malioutov

Proceedings of the IEEE International Conference on Acoustics, 2014

Smoothing dynamic systems with state-dependent covariance matrices.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

ALETHEIA: Improving the Usability of Static Security Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, 2014

2013

Variational Properties of Value Functions.

[BibT_eX]

[DOI]

SIAM J. Optim., 2013

Sparse/robust estimation and Kalman smoothing with nonsmooth log-concave densities: modeling, computation, and theory.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

An SVD-free Pareto curve approach to rank minimization

[BibT_eX]

[DOI]

CoRR, 2013

The exact relationship between regularization in RKHS and Bayesian estimation of Gaussian random fields

[BibT_eX]

[DOI]

CoRR, 2013

Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling.

[BibT_eX]

[DOI]

CoRR, 2013

Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models.

[BibT_eX]

[DOI]

Mohammad Emtiyaz Khan

Matthias W. Seeger

Proceedings of the 30th International Conference on Machine Learning, 2013

Sparse seismic imaging using variable projection.

[BibT_eX]

[DOI]

Ning Tu

Proceedings of the IEEE International Conference on Acoustics, 2013

Linear system identification using stable spline kernels and PLQ penalties.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Improvements to Deep Convolutional Neural Networks for LVCSR.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012

Robust inversion, dimensionality reduction, and randomized sampling.

[BibT_eX]

[DOI]

Felix J. Herrmann

Math. Program., 2012

Student's t robust bundle adjustment algorithm.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Fast seismic imaging for marine data.

[BibT_eX]

[DOI]

Xiang Li

Felix J. Herrmann

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Robust inversion via semistochastic dimensionality reduction.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Nonsmooth regression and state estimation using piecewise quadratic log-concave densities.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

An <sub>1</sub> -Laplace Robust Kalman Smoother.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2011

Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

The unconstrained and inequality constrained moving horizon approach to robot localization.

[BibT_eX]

[DOI]