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Aleksandr Y. Aravkin
- > Home > Persons > Aleksandr Y. Aravkin
Publications
- 2021
- [j28]Aleksandr Y. Aravkin, James V. Burke, Daiwei He:
On the Global Minimizers of Real Robust Phase Retrieval With Sparse Noise. IEEE Trans. Inf. Theory 67(3): 1886-1896 (2021) - 2019
- [j21]Jonathan Jonker, Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, Sarah E. Webster:
Fast robust methods for singular state-space models. Autom. 105: 399-405 (2019) - [j19]Aleksandr Y. Aravkin, James V. Burke, Dmitriy Drusvyatskiy, Michael P. Friedlander, Scott Roy:
Level-set methods for convex optimization. Math. Program. 174(1-2): 359-390 (2019) - [c29]Jonathan Jonker, Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, Sarah E. Webster:
Robust Singular Smoothers for Tracking Using Low-Fidelity Data. Robotics: Science and Systems 2019 - [i20]Aleksandr Y. Aravkin, James V. Burke, Daiwei He:
On the Global Minimizers of Real Robust Phase Retrieval with Sparse Noise. CoRR abs/1905.10358 (2019) - 2018
- [j15]Aleksandr Y. Aravkin, James V. Burke, Dmitriy Drusvyatskiy, Michael P. Friedlander, Kellie J. MacPhee:
Foundations of Gauge and Perspective Duality. SIAM J. Optim. 28(3): 2406-2434 (2018) - [j14]Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto:
Generalized System Identification with Stable Spline Kernels. SIAM J. Sci. Comput. 40(5): B1419-B1443 (2018) - 2017
- [j12]Aleksandr Y. Aravkin, James V. Burke, Lennart Ljung, Aurélie C. Lozano, Gianluigi Pillonetto:
Generalized Kalman smoothing: Modeling and algorithms. Autom. 86: 63-86 (2017) - 2016
- [i13]Aleksandr Y. Aravkin, James V. Burke, Dmitriy Drusvyatskiy, Michael P. Friedlander, Scott Roy:
Level-set methods for convex optimization. CoRR abs/1602.01506 (2016) - 2015
- [j8]Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto:
The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1518-1524 (2015) - 2014
- [j7]Aleksandr Y. Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto:
Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso. J. Mach. Learn. Res. 15(1): 217-252 (2014) - [j6]Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto:
Robust and Trend-Following Student's t Kalman Smoothers. SIAM J. Control. Optim. 52(5): 2891-2916 (2014) - [c18]Aleksandr Y. Aravkin, James V. Burke:
Smoothing dynamic systems with state-dependent covariance matrices. CDC 2014: 3382-3387 - 2013
- [j4]Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto:
Sparse/robust estimation and Kalman smoothing with nonsmooth log-concave densities: modeling, computation, and theory. J. Mach. Learn. Res. 14(1): 2689-2728 (2013) - [j3]Aleksandr Y. Aravkin, James V. Burke, Michael P. Friedlander:
Variational Properties of Value Functions. SIAM J. Optim. 23(3): 1689-1717 (2013) - [c9]Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto:
Linear system identification using stable spline kernels and PLQ penalties. CDC 2013: 5168-5173 - [i6]Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto:
The exact relationship between regularization in RKHS and Bayesian estimation of Gaussian random fields. CoRR abs/1301.5288 (2013) - 2012
- [c6]Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto:
Nonsmooth regression and state estimation using piecewise quadratic log-concave densities. CDC 2012: 4101-4106 - 2011
- [j1]Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto:
An 1 -Laplace Robust Kalman Smoother. IEEE Trans. Autom. Control. 56(12): 2898-2911 (2011) - [c2]Aleksandr Y. Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto:
Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso. CDC/ECC 2011: 156-161
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