Publications
Preprints

Global projections of lives saved from COVID19 with universal mask use.
IHME Covid19 Forecasting Team. 
Projecting Global Mortality Due to NonOptimal Temperature From 2020 to 2100: A Global Burden of Disease Forecasting Study.
Bukart et al. 
Nonsmooth Variable Projection.
T. van Leeuwen, A. Aravkin. 
Physicsinformed machine learning for sensor fault detection with flight test data.
B. de Silva, J. Callaham, J. Jonker, N. Goebel, J. Klemisch, D. McDonald, N. Hicks, J.N. Kutz, S.L. Brunton, A.Y. Aravkin 
A Proof of Principle: MultiModality Radiotherapy Optimization.
R. Levin, A.Y. Aravkin, M. Kim. 
IRLS for Sparse Recovery Revisited: Examples of Failure and a Remedy.
A.Y. Aravkin, J.V. Burke, and D. He. 
A nonconvex optimization approach to IMRT planning with dosevolume constraints.
K. Maass, M. Kim, A.Y. Aravkin. 
Timevarying Autoregression with Low Rank Tensors.
K. Harris, A.Y. Aravkin, R. Rao, B. Brunton. 
Estimating Shape Parameters of Piecewise LinearQuadratic Problems.
P. Zheng, A.Y. Aravkin, K. Ramamurthy.
Articles, Proceedings and Book Chapters
2021
 Stable and Robust LQR Design via Scenario Approach.
A. Scampicchio, A.Y. Aravkin, G. Pillonetto. To appear in Automatica, 2021.
2020

Trimmed Constrained Mixed Effects Models: Formulations and Algorithms.
P. Zheng, R. Barber, R.J.D. Sorensen, C.J.L. Murray, and A.Y. Aravkin. To appear in the Journal of Computational and Graphical Statistics (JCGS), Accepted 2020. 
DataDriven Aerospace Engineering: Reframing the Industry with Machine Learning. S. Brunton, J.N. Kutz, K. Manohar, A. Aravkin, K. Morgansen, J. Klemisch, N. Goebel, J. Buttrick, J. Poskin, A. BlomSchieber, T. Hogan, D. McDonald. To appear in AIAA, Accepted 2020.

On the Global Minimizers of Real Robust Phase Retrieval with Sparse Noise.
D. He., J.V. Burke, and A.Y. Aravkin. To appear in the IEEE Transactions on Information Theory, Accepted 2020. 
Efficient Robust Parameter Identification in Generalized Kalman Smoothing Models.
J. Jonker, P. Zheng, A.Y. Aravkin. To appear in IEEE Transactions on Automatic Control (TAC), Accepted 2020. 
Modeling COVID19 scenarios for the United States.
IHME Covid19 Forecasting Team (methods contributor). Nature Medicine (2020). 
Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019.
GBD 2019 Risk Factors Collaborators (senior author). The Lancet (2020). 
Five insights from the Global Burden of Disease Study 2019.
GBD 2019 Viewpoint Collaborators (methods contributor & senior author on risks capstone). The Lancet (2020). 
Global agesexspecific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019.
GBD 2019 Demographics Collaborators (methods contributor). The Lancet (2020). 
Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019.
GBD 2019 Diseases and Injuries Collaborators (methods contributor). The Lancet (2020). 
Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019.
GBD 2019 Universal Health Coverage Collaborators (methods contributor). The Lancet (2020). 
Relaxandsplit method for nonsmooth nonconvex problems.
P. Zheng, A.Y. Aravkin. Inverse Problems (2020). 
A unified sparse optimization framework to learn parsimonious physicsinformed models from data.
K. Champion, P. Zheng, A.Y. Aravkin, S.L. Brunton, J.N. Kutz. IEEE Access 8 (2020): 169259169271. 
Dimensionality Reduction and Reduced Order Modeling for Traveling Wave Physics.
A. Mendible, S.L. Brunton, A.Y. Aravkin, W. Lowrie, J.N. Kutz. Theoretical and Computational Fluid Dynamics (2020): 116. 
Stable and Robust LQR Design via Scenario Approach.
A. Scampicchio, A.Y. Aravkin, G. Pillonetto. To appear in the Proceedings of the International Federation of Automatic Control (IFAC), 2020. 
Offline state estimation for hybrid systems via nonsmooth variable projection.
J. Zhang, A.M. Pace, S.A. Burden, A.Y. Aravkin. Automatica 115 (2020): 108871. 
Sparse Principal Component Analysis via Variable Projection.
N.B. Erichson, P. Zheng, K. Manohar, S.L. Brunton, J.N. Kutz, A.Y. Aravkin. SIAM Journal on Applied Mathematics (2020), 80(2), 9771002. 2020. 
Sparse MeanReverting Portfolios via Penalized Likelihood Optimization.
J. Zhang, T. Leung, A.Y. Aravkin. Automatica 111 (2020): 108651.
2019

Basis Pursuit Denoise with Nonsmooth Constraints.
R. Baraldi, R. Kumar, A.Y. Aravkin. IEEE Transactions on Signal Processing 67.22 (2019): 58115823. 
Relaxation algorithms for matrix completion, with applications to seismic traveltime data interpolation.
R. Baraldi, C. Ulberg, R. Kumar, K. Creager, A.Y. Aravkin. Inverse Problems 35 (10) (2019):105009. 
Preliminary Results in Current Profile Estimation and Doppleraided Navigation for Autonomous Underwater Gliders.
J. Jonker, A. Shcherbina, R. Krishfield, L. Van Uffelen, A.Y. Aravkin, S. Webster. OCEANS 2019Marseille. IEEE, 2019. 
Robust Singular Smoothers For Tracking Using LowFidelity Data.
J. Jonker, A.Y. Aravkin, J.V. Burke, G. Pillonetto, S. Webster. Proceedings of Robotics: Science and Systems, 2019. 10.15607/RSS.2019.XV.037 
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning.
J. Yun, P. Zheng, E. Yang, A. Lozano, A.Y. Aravkin. In International Conference on Machine Learning (ICML) (pp. 72427251), 2019. 
Boosting as a kernelbased method.
A.Y. Aravkin, G. Bottegal, and G. Pillonetto. Machine Learning (2019): 124. 
Fast methods for robust singular statespace models.
J. Jonker, A.Y. Aravkin, J.V. Burke, G. Pillonetto, S. Webster. Automatica, 105, 399405, 2019. 
A Relaxed Optimization Approach for CardinalityConstrained Portfolio Optimization.
J. Zhang, T. Leung, A.Y. Aravkin. In 2019 18th European Control Conference (ECC) (pp. 28852892). IEEE, 2019. 
Trimmed Statistical Estimation via Variance Reduction.
A.Y. Aravkin and D. Davis. Mathematics of Operations Research (MOR) (2019). 
Adapting Regularized Low Rank Models for Parallel Architectures.
D. Driggs, S. Becker, A.Y. Aravkin. SIAM Journal on Scientific Computing (SISC) 41.1 (2019): A163A189.
2018

A Unified Framework for Sparse Relaxed Regularized Regression: SR3.
P. Zheng, T. Askham, S.L. Brunton, J.N. Kutz, A.Y. Aravkin. IEEE Access, 10.1109/ACCESS.2018.2886528. 
Levelset methods for convex optimization.
A.Y. Aravkin, J.V. Burke, D. Drusvyastkiy, M.P. Friedlander, S. Roy. Mathematical Programming, 10.1007/s1010701813518. 
Simultaneous shot inversion for nonuniform geometries using fast data interpolation,
M. Liu, R. Kumar, E. Haber, A.Y. Aravkin. Inverse Problems, 35(2):025003, December 2018. 
Mean Reverting Portfolios via Penalized OULikelihood Estimation.
J. Zhang, T. Leung, A.Y. Aravkin. Proceedings of the Conference on Decision and Control (CDC), 2018. 
Loglinear Models, Extensions, and Applications.
Edited by A.Y. Aravkin, A. Choromanska, L. Deng, G. Heigold, T. Jebara, D. Kanevsky and S.J. Wright. MIT Press, 2018. 
HighDimensional Trimmed Estimators: A General Framework for Robust Structured Estimation.
E. Yang, A. Lozano, A.Y. Aravkin. Electron. J. Statist., Volume 12, Number 2 (2018), 35193553. 
Generalized system identification with stable spline kernels.
A.Y. Aravkin, J.V. Burke, G. Pillonetto. SIAM Journal on Scientific Computing 40.5 (2018): B1419B1443. 
Foundations of Gauge and Perspective Duality.
A. Y. Aravkin, J.V. Burke, D. Drusvyatskiy, M.P. Friedlander, K. MacPhee. SIAM Journal on Optimization 28.3 (2018): 24062434. 
Patterns of acute bilirubin encephalopathy in Nigeria: a multicenter preintervention study.
U. Diala, R. Wennberg, I. Abdulkadir Z. Farouk, C. Zabetta, E. Omoyibo A. Emokpae, A. Aravkin, B. Toma, S. Oguche, T. Slusher. Journal of Perinatology (2018). 
Totalvariation regularization strategies in fullwaveform inversion.
E. Esser, L. Guasch, T. van Leeuwen, A.Y. Aravkin, F.J. Herrmann. Total Variation Regularization Strategies in FullWaveform Inversion. SIAM Journal on Imaging Sciences, 11(1), 376406 (2018).
2017

Efficient quadratic penalization through the partial minimization technique.
A.Y. Aravkin, D. Drusvyatskiy, T. van Leeuwen. IEEE Transactions of Automatic Control, 2017. 
Learning robust representations for computer vision.
P. Zheng, A.Y. Aravkin, K. Ramamurthy, J.J. Thiagarajan. Proceedings of RCLCV ICCV 2017. 
Distributed Bundle Adjustment.
K. Ramamurthy, C.C. Lin, A.Y. Aravkin, S. Pankanti, R. Viguier. Proceedings of UAVision 2017/ICCV 2017. 
Generalized Kalman Smoothing: Modeling and Algorithms (Survey).
A.Y. Aravkin, J.V. Burke, L. Ljung, A. Lozano, and G. Pillonetto. Automatica, Vol. 86, 2017, p. 6386. 
Beating levelset methods for 3D seismic data interpolation: a primaldual alternating approach.
R. Kumar, O. Lopez, D. Davis, A.Y. Aravkin, F.J. Herrmann. Transactions of Computational Imaging, 3(2), p. 111, 2017.
2016

Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition.
A.Y. Aravkin and S. Becker. In Robust LowRank and Sparse Matrix Decomposition: Applications in Image and Video Processing, T. Bouwmans, N. Aybat, E. Zahzah, 2016. 
Analytics for understanding customer behavior in the energy and utility industry.
Y. Kim, A.Y. Aravkin, H. Fei, A. Zondervan, M. Wolf. IBM Journal of Research and Development. 60(1), 111, 2016. 
Source estimation with surfacerelated multiples – fast ambiguity resolved seismic imaging.
N. Tu, A.Y. Aravkin, T. van Leeuwen, T. Lin, F. J. Herrmann. Geophysical Journal International, 205.3(2016): 14921511. 
Robust EM kernelbased methods for linear system identification.
G. Bottegal, A.Y. Aravkin, H. Hjalmarsson, G. Pillonetto. Automatica 67 (2016) 114–126. 
A stable spline convex approach to hybrid system identification.
G. Pillonetto, A.Y. Aravkin. In Machine Learning for Signal Processing (MLSP), 2016 IEEE 26th International Workshop on. 
Dynamic matrix factorization with social influence.
A.Y. Aravkin, K.R. Varshney, L. Yang. In Machine Learning for Signal Processing (MLSP), 2016 IEEE 26th International Workshop on. 
Beyond L2loss functions for learning sparse models.
K.N. Ramamurthy, A.Y. Aravkin, J. J. Thiagarajan. IEEE Conf. Acoustics, Speech, and Signal Proc. (ICASSP) (2016) p. 46924696.
2015

Efficient matrix completion for seismic data reconstruction.
R. Kumar, C. Da Silva, O. Akalin, A.Y. Aravkin, H. Mansour, B. Recht, F.J. Herrmann. Geophysics 80, no. 5 (2015): V97V114. 
Adaptive asnaturalaspossible image stitching.
CC. Lin, S.U. Pankanti, K.N. Ramamurthy, and A.Y. Aravkin. In Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, p. 1155–1163, 2015. 
Outlier Robust KernelBased System Identification Using L1Laplace Techniques.
G. Bottegal, H. Hjalmarsson, A.Y. Aravkin, G. Pillonetto, In Proceedings of IEEE Conf. Decision and Control (CDC) (2015), p. 21092114. 
General Optimization Framework for Robust and Regularized 3D Full Waveform Inversion.
S. Becker, L. Horesh, A.Y. Aravkin, S. Zhuk. In EAGE Technical Program Expanded Abstracts, 2015. 
Automatic salt delineation — Wavefield Reconstruction Inversion with convex constraints.
E. Esser, L. Guasch, T. van Leeuwen, A.Y. Aravkin, and F.J. Herrmann. In SEG Technical Program Expanded Abstracts, 2015. 
Source estimation for wave equation with uncertain parameters.
S. Zhuk, S. Moore, A. Nogueira, A. Rawlinson, T. Tchrakian, L. Horesh, A. Aravkin and A. Akhriev. In Control Conference (ECC) 2015 European, p. 266270.
2014

Optimization viewpoint on Kalman smoothing, with applications to robust and sparse estimation.
A.Y. Aravkin, J.V. Burke, and G. Pillonetto. In Compressed Sensing and Sparse Filtering, A.Y. Carmi, L.S. Mihaylova, S.J. Godsill Eds., Signals and Communications Technology, Springer, p. 237281, 2014. 
Statistical analysis of national and Washington State fish consumption data.
N. L. Polissar, M. Neradilek, D. S. Hippe, A. Y. Aravkin, P. Danaher, J. Kalat, peer reviewed technical report for Washington State Department of Ecology, 2014. 
Serum bilirubin and bilirubin/albumin ratio as predictors of bilirubin encephalopathy.
I. Iskander, R. Gamaleldin, S. El Houchi, A. El Shenawy, I. Seoud, N. El Gharbawi, H. AbouYoussef, A. Aravkin, and R. Wennberg, Pediatrics, DOI: 10.1542/peds.20131764, 2014. 
Orthogonal matching pursuit for sparse quantile regression.
A.Y. Aravkin, A. Kambadur, A.C. Lozano, and R. Luss. In Data Mining (ICDM), 2014 IEEE International Conference, pp. 1119. 
Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation.
A.Y. Aravkin, R. Kumar, H. Mansour, B. Recht, and F.J. Herrmann. SIAM J. Sci. Comput., 36(5) (2014), S237–S266. 
Robust and trend following Student’s t Kalman smoothers.
A.Y. Aravkin, J.V. Burke, G. Pillonetto. SIAM J. Control Optim. 525 (2014), pp. 28912916. 
A variational approach to stable principal component pursuit.
A.Y. Aravkin, S. Becker, V. Cevher, and P. Olsen. In 30th Conference on Uncertainty in Artificial Intelligence (UAI), no. EPFLCONF199542. 2014. 
The connection between Bayesian estimation of a Gaussian random field and RKHS.
A.Y. Aravkin, B.M. Bell, J.V. Burke, and G. Pillonetto. IEEE Transactions on Neural Networks and Learning Systems, PP(99), 2014. 
Convex vs. nonconvex approaches for sparse estimation: the mean squared properties of ARD and GLasso.
A.Y. Aravkin, J.V. Burke, A. Chiuso, and G. Pillonetto. Journal of Machine Learning Research (JMLR), Volume 15, 217252, 2014. 
Source separation via SVDfree rank minimization in the hierarchical semiseparable representation.
H. Wason, R. Kumar, A.Y. Aravkin, and F. J. Herrmann. SEG Annual Meeting of the Society of Exploration Geophysicists, 2014. 
Aletheia: improving the usability of static security analysis.
O. Tripp, S. Guarnieri, M. Pistoia and A. Aravkin. Proceedings of the 2014 ACM SIGSAC on Computer and Communications Security, 762774. 
Kalman smoothing with persistent nuisance parameters.
A.Y. Aravkin, K.N. Ramamurthy, and G. Pillonetto. Machine Learning for Signal Processing (MLSP), IEEE International Workshop on, 2014. 
A new kernelbased approach for identification of timevarying linear systems.
G. Pillonetto and A.Y. Aravkin. Machine Learning for Signal Processing (MLSP), IEEE International Workshop on, 2014. 
Smoothing dynamic systems with statedependent covariance matrices.
A.Y. Aravkin and J.V. Burke. Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on, 33823387. 
Semistochastic quadratic bound methods.
A.Y. Aravkin, A. Choromanska, T. Jebara and D. Kanevsky. International Conference on Learning Representations (ICLR) Workshop, 2014. 
SVDfree lowrank matrix factorization : wavefield reconstruction via jittered subsampling and reciprocity.
R. Kumar, A.Y. Aravkin, E. Esser, H. Mansour and F.J. Herrmann. 6th EAGE Conference and Exhibition 2014. 
Outlier robust system identification: a Bayesian kernelbased approach.
G. Bottegal, A.Y. Aravkin, H. Hjalmarsson and G. Pillonetto. IFAC Proceedings Volumes 47.3 (2014): 10731078. 
Iterative logthresholding.
D. Malioutov and A.Y. Aravkin. In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, pp. 71987202.
2013

Fast dual variational inference for nonconjugate latent Gaussian models.
E. Khan, A.Y. Aravkin, M.P. Friedlander, and M. Seeger.
JMLR W&CP 28(3):951959, 2013. 
Sparse/robust estimation and Kalman smoothing with nonsmooth logconcave densities: modeling, computation, and theory.
A.Y. Aravkin, J.V. Burke, and G. Pillonetto. Journal of Machine Learning Research (JMLR) (3), 26892728, September 2013. 
Variational properties of value functions.
A.Y. Aravkin, J.V. Burke, M.P. Friedlander. SIAM Journal of Optimization (SIOPT), Vol. 23, No. 3, pp. 1689–1717, August 2013. 
Accelerating Hessianfree optimization for deep neural networks by implicit preconditioning and sampling.
T.N. Sainath, L. Horesh, B. Kingsbury, A.Y. Aravkin, B. Ramabhadran. In Automatic Speech Recognition and Understanding (ASRU), 2013 IEEE Workshop on (pp. 303308). 
Improvements for deep convolutional neural networks for LVCSR.
T.N. Sainath, B. Kingsbury, A. Mohamed, G.E. Dahl, G. Saon, H. Soltau, T. Beran, A.Y. Aravkin, B. Ramabhadran. In Automatic Speech Recognition and Understanding (ASRU), 2013 IEEE Workshop on (pp. 315320). 
Linear system identification using stable spline kernels and PLQ penalties.
A.Y. Aravkin, J.V. Burke and G. Pillonetto.
In Decision and Control (CDC), 2013 IEEE 52nd annual conference on (pp. 51685173). 
Reconstruction of seismic wavefields via lowrank matrix factorization in the HSS matrix representation.
R. Kumar, H. Mansour, A.Y. Aravkin, and F.J. Herrmann. 2013 SEG Annual Meeting. Society of Exploration Geophysicists, 2013. 
Sparse seismic imaging using variable projection.
A.Y. Aravkin, T. van Leeuwen and N. Tu. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 20652069). 
In which domain should we measure the misfit for robust full waveform inversion?
T. van Leeuwen, A.Y. Aravkin, H. Calandra and F.J. Herrmann. 75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013. 
Fast leastsquares RTM with source wavelet estimation using multiples.
N. Tu, A.Y. Aravkin, T. van Leeuwen, and F.J. Herrmann. 75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013. 
Seismic data interpolation and denoising using robust matrix factorization.
R. Kumar, A.Y. Aravkin, H. Mansour, B. Recht, F.J. Herrmann. 75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013. 
(18)FFDG PET/CTpositive internal mammary lymph nodes: pathologic correlation by ultrasoundguided fineneedle aspiration and assessment of associated risk factors.
C.L. Wang, M.J. Eissa, J.V. Rogers, A.Y. Aravkin, B.A. Porter, J.D. Beatty. AJR Am J Roentgenol. 2013 May; 200(5): 113844.
2012

Estimating nuisance parameters in inverse problems.
A.Y. Aravkin and T. van Leeuwen. Inverse Problems, 28(11):115016, October 2012. 
Robust inversion, dimensionality reduction, and randomized sampling.
A.Y. Aravkin, M.P. Friedlander, F.J. Herrmann, and T. van Leeuwen. Mathematical Programming, 134(1):101125, 2012. 
Fast randomized full waveform inversion with compressive sensing.
X. Li, A.Y. Aravkin, T. van Leeuwen,and F.J. Herrmann. Geophysics 77(3), A13A17, 2012. 
Nonsmooth regression and state estimation using piecewise quadratic logconcave densities.
A.Y. Aravkin, J.V. Burke and G. Pillonetto. In Decision and Control (CDC), 2012 IEEE 51st Annual Conference on (pp. 41014106). 
On nonuniqueness of the Student’s t formulation for linear inverse problems.
A.Y. Aravkin, T. van Leeuwen, K. Bube and F.J. Herrmann. 2012 SEG Annual Meeting. Society of Exploration Geophysicists. 
Student’s t robust bundle adjustment algorithm.
A.Y. Aravkin, M. Styer, Z. Moratto, A. Nefian, and M. Broxton. In Image Processing (ICIP), 2012 19th IEEE International Conference on (pp. 17571760). 
Robust and trend following Kalman smoothers using Student’s t.
A.Y. Aravkin, J.V. Burke, and G. Pillonetto. IFAC Proceedings Volumes, 45(16), 12151220. 
A statistical and computational theory for robust and sparse Kalman smoothing.
A.Y. Aravkin, J.V. Burke, and G. Pillonetto. IFAC Proceedings Volumes, 45(16), 894899. 
On the estimation of hyperparameters for empirical Bayes estimators: MML vs. minimum MSE.
A.Y. Aravkin, J.V. Burke, A. Chiuso, and G. Pillonetto. IFAC Proceedings Volumes, 45(16), 125130. 
On the MSE properties of empirical Bayes methods for sparse estimation.
A.Y. Aravkin, J.V. Burke, A. Chiuso, and G. Pillonetto. IFAC Proceedings Volumes, 45(16), 965970. 
Source estimation for frequencydomain FWI with robust penalties.
A.Y. Aravkin, T. van Leeuwen, H. Calandra and F.J. Herrmann. In 74th EAGE Conference and Exhibition incorporating EUROPEC 2012. 
Robust inversion via semistochastic dimensionality reduction.
A.Y. Aravkin, M.P. Friedlander, and T. van Leeuwen. IEEE Conf. Acoustics, Speech, and Signal Proc. (ICASSP), 2012. 
Fast seismic imaging for marine data.
A.Y. Aravkin, X. Li and F.J. Herrmann. IEEE Conf. Acoustics, Speech, and Signal Proc. (ICASSP), 2012. 
Fullwaveform inversion with randomized L1 recovery for the model updates.
X. Li, A.Y. Aravkin, T. van Leeuwen, and F.J. Herrmann. In 73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011. 
A nonlinear sparsity promoting formulation and algorithm for full waveform inversion.
A.Y. Aravkin, T. van Leeuwen, J.V. Burke and F.J. Herrmann. In 73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011.
2011

Risk factors of neurotoxicity in newborns with severe neonatal hyperbilirubinemia.
R. Gammeldin, I. Iskander, I. Seoud, H. Aboraya, A. Aravkin, P. Sampson, R. Wennberg, Pediatrics 128(4), 2011, e925e931. 
Seismic waveform inversion by stochastic optimization.
T. van Leeuwen, A.Y. Aravkin, and F.J. Herrmann. International Journal of Geophysics, vol. 2011, Article ID 689041, 2011. 
An l1Laplace robust Kalman smoother.
A.Y. Aravkin, B.M. Bell, J.V. Burke, G. Pillonetto. IEEE Transactions of Automatic Control (TAC), 56(12):28982911, 2011. 
Convex vs. nonconvex approaches for sparse estimation: lasso, MKL, and hyperparameter lasso.
A.Y. Aravkin, J.V. Burke, A. Chiuso and G. Pillonetto. Proceedings of IEEE Conf. Decision and Control (CDC), 50th conference on, 2011, 156161. 
A modified, sparsity promoting GaussNewton algorithm for seismic waveform inversion.
F.J. Herrmann, X. Li, A.Y. Aravkin, and T. van Leeuwen. Proceedings of the International Society of Optics and Photonics (SPIE), 8138, 8130V, 2011. 
Learning using state space kernel machines.
A.Y. Aravkin, B.M. Bell, J.V. Burke, and G. Pillonetto. IFAC Proceedings Volumes, 44(1), 22962302. 
Robust full waveform inversion using Student’s t distribution.
A.Y. Aravkin, T. van Leeuwen, and F.J. Herrmann. Proceedings of the Society of Exploration Geophysicists (SEG), 2011. 
Positron emission mammography: correlation of estrogen receptor, progresterone receptor, and human epidermal growth factor receptor 2 status and 18FFDG.
C. Wang, L. MacDonald, J. Rogers, A. Aravkin, D. Haseley, J. Beatty. AJR Am J Roentgenol. 2011 Aug; 197(2): W24755.
2010

Robust methods for Kalman filtering/smoothing and bundle adjustment.
A.Y. Aravkin, Ph.D. Thesis, University of Washington, 2010. 
The unconstrained and inequality constrained moving horizon approach to robot localization.
G. Pillonetto, A.Y. Aravkin, and S. Carpin. In Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on (pp. 38303835)
2009
 Intervention guidelines for neonatal hyperbilirubinemia: an evidence based quagmire.
R. Wennberg, C. Ahlfors and A. Aravkin, Curr. Pharm. Design 2009; 15(25):293945.
Technical Reports

Forecasting the impact of the first wave of the COVID19 pandemic on hospital demand and deaths for the USA and European Economic Area countries, posted on Medrxiv. IHME COVID19 health service utilization forecasting team.

Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM.
G. Abrevaya, I. Rish, A.Y. Aravkin, G. Cecchi, J. Kozloski, P. Polosecki, P. Zheng, S.P. Dawson, J. Rhee, D. Cox. 
Robust and scalable methods for the dynamic mode decomposition.
T. Askham, P. Zheng, A.Y. Aravkin, N. Kutz. 
Computer Assisted Localization of a Heart Arrhythmia.
C. Vogl, P. Zheng, S. Seslar, A.Y. Aravkin. 
Fast and simple comparison of semistructured data, with emphasis on electronic health records.
M. Robinson, J. Hadlock, J. Yu, A. Khatamian, A.Y. Aravkin, E. Deutsch, N. Price, S. Huang, G.Glusman. 
Generalized Linear Model for Gamma Distributed Variables via Elastic Net Regularization.
X. Chen, A.Y. Aravkin, and D. Martin. 
Time series using exponential smoothing cells.
A. Abrami, A.Y. Aravkin, Y. Kim. 
Automatic Inference of the Quantile Parameter.
K.N. Ramamurthy, A.Y. Aravkin, J.J. Thiagarajan. arXiv preprint arXiv:1511.03990 (2015). 
Kalman smoothing and block tridiagonal systems: new connections and stability results.
A.Y. Aravkin, B.M. Bell, J.V. Burke, G. Pillonetto. arXiv preprint arXiv:1303.5237 (2013).