Aleksandr Y. Aravkin

113 papers A* 4A 2B 1C 2Misc 5Journal 82Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A joint optimization approach to identifying sparse dynamics using least squares kernel collocation. CoRR Alexander W. Hsu, Ike Griss Salas, Jacob Stevens-Haas, J. Nathan Kutz, Aleksandr Y. Aravkin, Bamdad Hosseini
2025	J	`jnl`	Deep networks for system identification: A survey. Autom. Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön
2025	J	`jnl`	Fitting dynamic measles models to subnational case notification data from Ethiopia: Methodological challenges and key considerations. PLoS Comput. Biol. Alyssa N. Sbarra, Emily Haeuser, Samuel Kidane, Andargie Abate, Ayele M. Abebe, Muktar Ahmed, Alemayehu Tsegaye, Erkihun Amsalu, Aleksandr Y. Aravkin, Akeza A. Asgedom, Nebiyou Bayleyegn, Mulat Dagnew, Biniyam Demisse, Werku Etafa, Getahun Fetensa, Teferi Gebru Gebremeskel, Habtamu Geremew, Abraham T. Gizaw, Gamechu A. Hunde, Hadush N. Meles, Sibhat Migbar, Jason Q. Nguyen, Eshetu Nigussie, Rebecca E. Ramshaw, Sam Rolfe, Biniyam Sahiledengle, Noga Shalev, Yonatan Solomon, Latera Tesfaye, Gesila E. Yesera, Mark Jit, Jonathan F. Mosser
2025	J	`jnl`	On-line learning of dynamic systems: sparse regression meets Kalman filtering. CoRR Gianluigi Pillonetto, Akram Yazdani, Aleksandr Y. Aravkin
2025	J	`jnl`	Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology. CoRR Gianluigi Pillonetto, Alberto Giaretta, Aleksandr Y. Aravkin, Mauro Bisiacco, Timothy C. Elston
2025	J	`jnl`	Sparse-mode Dynamic Mode Decomposition for Disambiguating Local and Global Structures. CoRR Sara M. Ichinaga, Steven L. Brunton, Aleksandr Y. Aravkin, J. Nathan Kutz
2024	J	`jnl`	A Levenberg-Marquardt Method for Nonsmooth Regularized Least Squares. SIAM J. Sci. Comput. Aleksandr Y. Aravkin, Robert J. Baraldi, Dominique Orban
2024	J	`jnl`	A Relaxation Approach to Feature Selection for Linear Mixed Effects Models. J. Comput. Graph. Stat. Aleksei Sholokhov, James V. Burke, Damian F. Santomauro, Peng Zheng, Aleksandr Y. Aravkin
2024	J	`jnl`	Ensemble Principal Component Analysis. IEEE Access Olga Dorabiala, Aleksandr Y. Aravkin, J. Nathan Kutz
2024	J	`jnl`	Learning Nonlinear Dynamics Using Kalman Smoothing. IEEE Access Jacob Stevens-Haas, Yash Bhangale, J. Nathan Kutz, Aleksandr Y. Aravkin
2024	J	`jnl`	Uncertainty Quantification under Noisy Constraints, with Applications to Raking. CoRR Ariane Ducellier, Alexander W. Hsu, Parkes Kendrick, Bill Gustafson, Laura Dwyer-Lindgren, Christopher Murray, Peng Zheng, Aleksandr Y. Aravkin
2023	J	`jnl`	A Levenberg-Marquardt Method for Nonsmooth Regularized Least Squares. CoRR Aleksandr Y. Aravkin, Robert J. Baraldi, Dominique Orban
2023	J	`jnl`	Deep networks for system identification: a Survey. CoRR Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön
2023	J	`jnl`	pysr3: A Python Package for Sparse Relaxed Regularized Regression. J. Open Source Softw. Aleksei Sholokhov, Peng Zheng, Aleksandr Y. Aravkin
2022	J	`jnl`	A Nonconvex Optimization Approach to IMRT Planning with Dose-Volume Constraints. INFORMS J. Comput. Kelsey Maass, Minsun Kim, Aleksandr Y. Aravkin
2022	J	`jnl`	A Proximal Quasi-Newton Trust-Region Method for Nonsmooth Regularized Optimization. SIAM J. Optim. Aleksandr Y. Aravkin, Robert J. Baraldi, Dominique Orban
2022	J	`jnl`	Robust and Scalable Methods for the Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. Travis Askham, Peng Zheng, Aleksandr Y. Aravkin, J. Nathan Kutz
2022	J	`jnl`	Robust trimmed k-means. Pattern Recognit. Lett. Olga Dorabiala, J. Nathan Kutz, Aleksandr Y. Aravkin
2022	J	`jnl`	Spatiotemporal k-means. CoRR Olga Dorabiala, Jennifer Webster, J. Nathan Kutz, Aleksandr Y. Aravkin
2021	J	`jnl`	$\ell _{1}$-Norm Minimization With Regula Falsi Type Root Finding Methods. IEEE Signal Process. Lett. Metin Vural, Aleksandr Y. Aravkin, Slawomir Stanczak
2021	J	`jnl`	A feasibility study of a hyperparameter tuning approach to automated inverse planning in radiotherapy. CoRR Kelsey Maass, Aleksandr Y. Aravkin, Minsun Kim
2021	J	`jnl`	Analysis of Truncated Orthogonal Iteration for Sparse Eigenvector Problems. CoRR Hexuan Liu, Aleksandr Y. Aravkin
2021	J	`jnl`	Efficient Robust Parameter Identification in Generalized Kalman Smoothing Models. IEEE Trans. Autom. Control. Jonathan Jonker, Peng Zheng, Aleksandr Y. Aravkin
2021	J	`jnl`	Estimating Shape Parameters of Piecewise Linear-Quadratic Problems. Open J. Math. Optim. Peng Zheng, Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin
2021	J	`jnl`	Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks. Neural Comput. Germán Abrevaya, Guillaume Dumas, Aleksandr Y. Aravkin, Peng Zheng, Jean-Christophe Gagnon-Audet, James R. Kozloski, Pablo Polosecki, Guillaume Lajoie, David D. Cox, Silvina Ponce Dawson, Guillermo A. Cecchi, Irina Rish
2021	J	`jnl`	On the Global Minimizers of Real Robust Phase Retrieval With Sparse Noise. IEEE Trans. Inf. Theory Aleksandr Y. Aravkin, James V. Burke, Daiwei He
2021	J	`jnl`	Robust Trimmed k-means. CoRR Olga Dorabiala, J. Nathan Kutz, Aleksandr Y. Aravkin
2021	J	`jnl`	Stable and robust LQR design via scenario approach. Autom. Anna Scampicchio, Aleksandr Y. Aravkin, Gianluigi Pillonetto
2021	J	`jnl`	Theoretical Advances in Current Estimation and Navigation from a Glider-Based Acoustic Doppler Current Profiler (ADCP). CoRR Jacob Stevens-Haas, Sarah E. Webster, Aleksandr Y. Aravkin
2021	J	`jnl`	Time-Varying Autoregression with Low-Rank Tensors. SIAM J. Appl. Dyn. Syst. Kameron Decker Harris, Aleksandr Y. Aravkin, Rajesh Rao, Bingni Wen Brunton
2021	J	`jnl`	Trimmed Constrained Mixed Effects Models: Formulations and Algorithms. J. Comput. Graph. Stat. Peng Zheng, Ryan Barber, Reed J. D. Sorensen, Christopher J. L. Murray, Aleksandr Y. Aravkin
2021	J	`jnl`	Variable Projection for NonSmooth Problems. SIAM J. Sci. Comput. Tristan van Leeuwen, Aleksandr Y. Aravkin
2020	J	`jnl`	A Unified Sparse Optimization Framework to Learn Parsimonious Physics-Informed Models From Data. IEEE Access Kathleen P. Champion, Peng Zheng, Aleksandr Y. Aravkin, Steven L. Brunton, J. Nathan Kutz
2020	J	`jnl`	Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning. CoRR 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 A. Hogan, Darren McDonald
2020	J	`jnl`	Offline state estimation for hybrid systems via nonsmooth variable projection. Autom. Jize Zhang, Andrew M. Pace, Samuel A. Burden, Aleksandr Y. Aravkin
2020	J	`jnl`	Physics-informed machine learning for sensor fault detection with flight test data. CoRR Brian M. de Silva, Jared Callaham, Jonathan Jonker, Nicholas Goebel, Jennifer Klemisch, Darren McDonald, Nathan Hicks, J. Nathan Kutz, Steven L. Brunton, Aleksandr Y. Aravkin
2020	J	`jnl`	Sparse Principal Component Analysis via Variable Projection. SIAM J. Appl. Math. N. Benjamin Erichson, Peng Zheng, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin
2020	J	`jnl`	Sparse mean-reverting portfolios via penalized likelihood optimization. Autom. Jize Zhang, Tim Leung, Aleksandr Y. Aravkin
2020	J	`jnl`	Trimmed Statistical Estimation via Variance Reduction. Math. Oper. Res. Aleksandr Y. Aravkin, Damek Davis
2019	—	`conf`	A Relaxed Optimization Approach for Cardinality-Constrained Portfolios. ECC Jize Zhang, Tim Leung, Aleksandr Y. Aravkin
2019	J	`jnl`	A Unified Framework for Sparse Relaxed Regularized Regression: SR3. IEEE Access Peng Zheng, Travis Askham, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin
2019	J	`jnl`	A unified sparse optimization framework to learn parsimonious physics-informed models from data. CoRR Kathleen P. Champion, Peng Zheng, Aleksandr Y. Aravkin, Steven L. Brunton, J. Nathan Kutz
2019	J	`jnl`	Adapting Regularized Low-Rank Models for Parallel Architectures. SIAM J. Sci. Comput. Derek Driggs, Stephen Becker, Aleksandr Y. Aravkin
2019	J	`jnl`	Basis Pursuit Denoise With Nonsmooth Constraints. IEEE Trans. Signal Process. Robert J. Baraldi, Rajiv Kumar, Aleksandr Y. Aravkin
2019	J	`jnl`	Boosting as a kernel-based method. Mach. Learn. Aleksandr Y. Aravkin, Giulio Bottegal, Gianluigi Pillonetto
2019	J	`jnl`	Fast robust methods for singular state-space models. Autom. Jonathan Jonker, Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, Sarah E. Webster
2019	J	`jnl`	Level-set methods for convex optimization. Math. Program. Aleksandr Y. Aravkin, James V. Burke, Dmitriy Drusvyatskiy, Michael P. Friedlander, Scott Roy
2019	J	`jnl`	On the Global Minimizers of Real Robust Phase Retrieval with Sparse Noise. CoRR Aleksandr Y. Aravkin, James V. Burke, Daiwei He
2019	—	`conf`	Robust Singular Smoothers for Tracking Using Low-Fidelity Data. Robotics: Science and Systems Jonathan Jonker, Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, Sarah E. Webster
2019	J	`jnl`	Time-varying Autoregression with Low Rank Tensors. CoRR Kameron Decker Harris, Aleksandr Y. Aravkin, Rajesh Rao, Bingni Wen Brunton
2019	A*	`conf`	Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning. ICML Jihun Yun, Peng Zheng, Eunho Yang, Aurélie C. Lozano, Aleksandr Y. Aravkin
2018	J	`jnl`	Efficient Quadratic Penalization Through the Partial Minimization Technique. IEEE Trans. Autom. Control. Aleksandr Y. Aravkin, Dmitriy Drusvyatskiy, Tristan van Leeuwen
2018	J	`jnl`	Foundations of Gauge and Perspective Duality. SIAM J. Optim. Aleksandr Y. Aravkin, James V. Burke, Dmitriy Drusvyatskiy, Michael P. Friedlander, Kellie J. MacPhee
2018	J	`jnl`	Generalized System Identification with Stable Spline Kernels. SIAM J. Sci. Comput. Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
2018	J	`jnl`	Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM. CoRR Germán Abrevaya, Aleksandr Y. Aravkin, Guillermo A. Cecchi, Irina Rish, Pablo Polosecki, Peng Zheng, Silvina Ponce Dawson
2018	—	`conf`	Mean Reverting Portfolios via Penalized OU-Likelihood Estimation. CDC Jize Zhang, Tim Leung, Aleksandr Y. Aravkin
2018	J	`jnl`	Sparse Principal Component Analysis via Variable Projection. CoRR N. Benjamin Erichson, Peng Zeng, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin
2018	J	`jnl`	Sparse Relaxed Regularized Regression: SR3. CoRR Peng Zheng, Travis Askham, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin
2018	J	`jnl`	Total Variation Regularization Strategies in Full-Waveform Inversion. SIAM J. Imaging Sci. Ernie Esser, Lluís Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, Felix J. Herrmann
2017	J	`jnl`	Beating Level-Set Methods for 5-D Seismic Data Interpolation: A Primal-Dual Alternating Approach. IEEE Trans. Computational Imaging Rajiv Kumar, Oscar López, Damek Davis, Aleksandr Y. Aravkin, Felix J. Herrmann
2017	—	`conf`	Distributed Bundle Adjustment. ICCV Workshops Karthikeyan Natesan Ramamurthy, Chung-Ching Lin, Aleksandr Y. Aravkin, Sharath Pankanti, Raphael Viguier
2017	J	`jnl`	Distributed Bundle Adjustment. CoRR Karthikeyan Natesan Ramamurthy, Chung-Ching Lin, Aleksandr Y. Aravkin, Sharath Pankanti, Raphael Viguier
2017	J	`jnl`	Generalized Kalman smoothing: Modeling and algorithms. Autom. Aleksandr Y. Aravkin, James V. Burke, Lennart Ljung, Aurélie C. Lozano, Gianluigi Pillonetto
2017	—	`conf`	Learning Robust Representations for Computer Vision. ICCV Workshops Peng Zheng, Aleksandr Y. Aravkin, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy
2017	J	`jnl`	Learning Robust Representations for Computer Vision. CoRR Peng Zheng, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan
2016	J	`jnl`	A SMART Stochastic Algorithm for Nonconvex Optimization with Applications to Robust Machine Learning. CoRR Aleksandr Y. Aravkin, Damek Davis
2016	—	`conf`	A stable spline convex approach to hybrid systems identification. MLSP Gianluigi Pillonetto, Aleksandr Y. Aravkin
2016	J	`jnl`	Analytics for understanding customer behavior in the energy and utility industry. IBM J. Res. Dev. Younghun Kim, Aleksandr Y. Aravkin, Hongliang Fei, A. Zondervan, M. Wolf
2016	Misc	`conf`	Beyond L2-loss functions for learning sparse models. ICASSP Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin, Jayaraman J. Thiagarajan
2016	J	`jnl`	Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition. CoRR Aleksandr Y. Aravkin, Stephen Becker
2016	—	`conf`	Dynamic matrix factorization with social influence. MLSP Aleksandr Y. Aravkin, Kush R. Varshney, Liu Yang
2016	J	`jnl`	Dynamic matrix factorization with social influence. CoRR Aleksandr Y. Aravkin, Kush R. Varshney, Liu Yang
2016	J	`jnl`	Level-set methods for convex optimization. CoRR Aleksandr Y. Aravkin, James V. Burke, Dmitriy Drusvyatskiy, Michael P. Friedlander, Scott Roy
2016	J	`jnl`	Robust EM kernel-based methods for linear system identification. Autom. Giulio Bottegal, Aleksandr Y. Aravkin, Håkan Hjalmarsson, Gianluigi Pillonetto
2015	A*	`conf`	Adaptive as-natural-as-possible image stitching. CVPR Chung-Ching Lin, Sharathchandra Pankanti, Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin
2015	—	`conf`	Outlier robust kernel-based system identification using ℓ1-Laplace techniques. CDC Giulio Bottegal, Håkan Hjalmarsson, Aleksandr Y. Aravkin, Gianluigi Pillonetto
2015	—	`conf`	Source estimation for wave equations with uncertain parameters. ECC Sergiy Zhuk, Stephen Moore, Alberto Costa Nogueira Jr., Andrew A. Rawlinson, Tigran T. Tchrakian, Lior Horesh, Aleksandr Y. Aravkin, Albert Akhriev
2015	J	`jnl`	The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS. IEEE Trans. Neural Networks Learn. Syst. Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto
2014	—	`conf`	A new kernel-based approach for identification of time-varying linear systems. MLSP Gianluigi Pillonetto, Aleksandr Y. Aravkin
2014	A	`conf`	A variational approach to stable principal component pursuit. UAI Aleksandr Y. Aravkin, Stephen Becker, Volkan Cevher, Peder A. Olsen
2014	A*	`conf`	ALETHEIA: Improving the Usability of Static Security Analysis. CCS Omer Tripp, Salvatore Guarnieri, Marco Pistoia, Aleksandr Y. Aravkin
2014	J	`jnl`	Beyond L2-Loss Functions for Learning Sparse Models. CoRR Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin, Jayaraman J. Thiagarajan
2014	J	`jnl`	Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso. J. Mach. Learn. Res. Aleksandr Y. Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto
2014	J	`jnl`	Fast Methods for Denoising Matrix Completion Formulations, with Applications to Robust Seismic Data Interpolation. SIAM J. Sci. Comput. Aleksandr Y. Aravkin, Rajiv Kumar, Hassan Mansour, Ben Recht, Felix J. Herrmann
2014	Misc	`conf`	Iterative log thresholding. ICASSP Dmitry Malioutov, Aleksandr Y. Aravkin
2014	—	`conf`	Kalman smoothing with persistent nuisance parameters. MLSP Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Gianluigi Pillonetto
2014	A*	`conf`	Orthogonal Matching Pursuit for Sparse Quantile Regression. ICDM Aleksandr Y. Aravkin, Aurélie C. Lozano, Ronny Luss, Prabhanjan Kambadur
2014	J	`jnl`	Robust EM kernel-based methods for linear system identification. CoRR Giulio Bottegal, Aleksandr Y. Aravkin, Håkan Hjalmarsson, Gianluigi Pillonetto
2014	J	`jnl`	Robust and Trend-Following Student's t Kalman Smoothers. SIAM J. Control. Optim. Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
2014	—	`conf`	Semistochastic Quadratic Bound Methods for Convex and Nonconvex Learning Problems. ICLR (Workshop Poster) Aleksandr Y. Aravkin, Anna Choromanska, Dimitri Kanevsky, Tony Jebara
2014	—	`conf`	Smoothing dynamic systems with state-dependent covariance matrices. CDC Aleksandr Y. Aravkin, James V. Burke
2014	J	`jnl`	Sparse Quantile Huber Regression for Efficient and Robust Estimation. CoRR Aleksandr Y. Aravkin, Anju Kambadur, Aurélie C. Lozano, Ronny Luss
2013	C	`conf`	Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling. ASRU Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran
2013	J	`jnl`	An SVD-free Pareto curve approach to rank minimization CoRR Aleksandr Y. Aravkin, Rajiv Mittal, Hassan Mansour, Ben Recht, Felix J. Herrmann
2013	—	`conf`	Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models. ICML (3) Mohammad Emtiyaz Khan, Aleksandr Y. Aravkin, Michael P. Friedlander, Matthias W. Seeger
2013	C	`conf`	Improvements to Deep Convolutional Neural Networks for LVCSR. ASRU Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George E. Dahl, George Saon, Hagen Soltau, Tomás Beran, Aleksandr Y. Aravkin, Bhuvana Ramabhadran
2013	J	`jnl`	Improvements to deep convolutional neural networks for LVCSR. CoRR Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George E. Dahl, George Saon, Hagen Soltau, Tomás Beran, Aleksandr Y. Aravkin, Bhuvana Ramabhadran
2013	J	`jnl`	Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling. CoRR Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran
2013	—	`conf`	Linear system identification using stable spline kernels and PLQ penalties. CDC Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
2013	Misc	`conf`	Sparse seismic imaging using variable projection. ICASSP Aleksandr Y. Aravkin, Tristan van Leeuwen, Ning Tu
2013	J	`jnl`	Sparse/robust estimation and Kalman smoothing with nonsmooth log-concave densities: modeling, computation, and theory. J. Mach. Learn. Res. Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
2013	J	`jnl`	The exact relationship between regularization in RKHS and Bayesian estimation of Gaussian random fields CoRR Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto
2013	J	`jnl`	Variational Properties of Value Functions. SIAM J. Optim. Aleksandr Y. Aravkin, James V. Burke, Michael P. Friedlander
2012	Misc	`conf`	Fast seismic imaging for marine data. ICASSP Aleksandr Y. Aravkin, Xiang Li, Felix J. Herrmann
2012	—	`conf`	Nonsmooth regression and state estimation using piecewise quadratic log-concave densities. CDC Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
2012	Misc	`conf`	Robust inversion via semistochastic dimensionality reduction. ICASSP Aleksandr Y. Aravkin, Michael P. Friedlander, Tristan van Leeuwen
2012	J	`jnl`	Robust inversion, dimensionality reduction, and randomized sampling. Math. Program. Aleksandr Y. Aravkin, Michael P. Friedlander, Felix J. Herrmann, Tristan van Leeuwen
2012	B	`conf`	Student's t robust bundle adjustment algorithm. ICIP Aleksandr Y. Aravkin, Michael Styer, Zachary Moratto, Ara V. Nefian, Michael Broxton
2011	J	`jnl`	An IEEE Trans. Autom. Control. Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto
2011	—	`conf`	Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso. CDC/ECC Aleksandr Y. Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto
2011	J	`jnl`	Robust inversion via semistochastic dimensionality reduction CoRR Aleksandr Y. Aravkin, Michael P. Friedlander, Tristan van Leeuwen
2011	J	`jnl`	Student's T Robust Bundle Adjustment Algorithm CoRR Aleksandr Y. Aravkin, Michael Styer, Zachary Moratto, Ara V. Nefian, Michael Broxton
2010	A	`conf`	The unconstrained and inequality constrained moving horizon approach to robot localization. IROS Gianluigi Pillonetto, Aleksandr Y. Aravkin, Stefano Carpin