Aleksandr Y. Aravkin

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Papers (39)

1. A Unified Framework for Sparse Relaxed Regularized Regression: SR3 stat.ML · 2018 · author #5
2. Computer Assisted Localization of a Heart Arrhythmia q-bio.TO · 2018 · author #4
3. Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM stat.ML · 2018 · author #3
4. Generalized Linear Model for Gamma Distributed Variables via Elastic Net Regularization stat.ME · 2018 · author #2
5. Mean Reverting Portfolios via Penalized OU-Likelihood Estimation q-fin.PM · 2018 · author #3
6. Fast Robust Methods for Singular State-Space Models math.OC · 2018 · author #2
7. Learning Robust Representations for Computer Vision stat.ML · 2017 · author #2
8. Time Series Using Exponential Smoothing Cells stat.ML · 2017 · author #2
9. Total-variation regularization strategies in full-waveform inversion math.OC · 2016 · author #4
10. Boosting as a kernel-based method stat.ML · 2016 · author #1
11. Efficient quadratic penalization through the partial minimization technique math.OC · 2016 · author #1
12. Dynamic matrix factorization with social influence stat.ML · 2016 · author #1
13. Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition stat.ML · 2016 · author #1
14. Level-set methods for convex optimization math.OC · 2016 · author #1
15. Automatic Inference of the Quantile Parameter stat.ML · 2015 · author #2
16. Robust EM kernel-based methods for linear system identification cs.SY · 2014 · author #2
17. Beyond L2-Loss Functions for Learning Sparse Models stat.ML · 2014 · author #2
18. Sparse Quantile Huber Regression for Efficient and Robust Estimation stat.ML · 2014 · author #1
19. Outlier robust system identification: a Bayesian kernel-based approach stat.ML · 2013 · author #2
20. Generalized system identification with stable spline kernels stat.ML · 2013 · author #1
21. Accelerating Hessian-free optimization for deep neural networks by implicit preconditioning and sampling cs.LG · 2013 · author #4
22. Improvements to deep convolutional neural networks for LVCSR cs.LG · 2013 · author #8
23. Semistochastic Quadratic Bound Methods stat.ML · 2013 · author #1
24. Fast Dual Variational Inference for Non-Conjugate LGMs stat.ML · 2013 · author #2
25. Robust and Trend Following Student's t Kalman Smoothers math.OC · 2013 · author #1
26. Kalman smoothing and block tridiagonal systems: new connections and numerical stability results math.NA · 2013 · author #1
27. Linear system identification using stable spline kernels and PLQ penalties stat.ML · 2013 · author #1
28. Optimization viewpoint on Kalman smoothing, with applications to robust and sparse estimation math.OC · 2013 · author #1
29. Convex vs nonconvex approaches for sparse estimation: GLasso, Multiple Kernel Learning and Hyperparameter GLasso stat.ML · 2013 · author #1
30. Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation stat.ML · 2013 · author #1
31. The connection between Bayesian estimation of a Gaussian random field and RKHS stat.ML · 2013 · author #1
32. Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory stat.ML · 2013 · author #1
33. Sparse seismic imaging using variable projection math.OC · 2012 · author #1
34. Smoothing Dynamic Systems with State-Dependent Covariance Matrices math.OC · 2012 · author #1
35. Variational properties of value functions math.OC · 2012 · author #1
36. Estimating Nuisance Parameters in Inverse Problems math.NA · 2012 · author #1
37. A statistical and computational theory for robust and sparse Kalman smoothing math.OC · 2011 · author #1
38. Student's T Robust Bundle Adjustment Algorithm stat.CO · 2011 · author #1
39. Robust and Trend-following Kalman Smoothers using Student's t stat.CO · 2010 · author #1

Mentions

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Frequent Coauthors

• Gianluigi Pillonetto 14 shared papers
• James V. Burke 14 shared papers
• Peng Zheng 4 shared papers
• Tristan van Leeuwen 4 shared papers
• Giulio Bottegal 3 shared papers
• Karthikeyan Natesan Ramamurthy 3 shared papers
• Michael P. Friedlander 3 shared papers
• Bhuvana Ramabhadran 2 shared papers
• Brian Kingsbury 2 shared papers
• Dmitriy Drusvyatskiy 2 shared papers
• Felix J. Herrmann 2 shared papers
• Jayaraman J. Thiagarajan 2 shared papers
• Tara N. Sainath 2 shared papers
• Abdel-rahman Mohamed 1 shared papers
• Alessandro Chiuso 1 shared papers
• Anju Kambadur 1 shared papers
• Anna Choromanska 1 shared papers
• Ara Nefian 1 shared papers
• Aurelie C. Lozano 1 shared papers
• Avner Abrami 1 shared papers