Stephen Becker
Orcid: 0000-0002-1932-8159
According to our database1,
Stephen Becker
authored at least 72 papers
between 2011 and 2024.
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Bibliography
2024
QuadConv: Quadrature-based convolutions with applications to non-uniform PDE data compression.
J. Comput. Phys., February, 2024
SIAM/ASA J. Uncertain. Quantification, 2024
High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise.
J. Mach. Learn. Res., 2024
Online randomized interpolative decomposition with a posteriori error estimator for temporal PDE data reduction.
CoRR, 2024
2023
Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso.
J. Comput. Graph. Stat., 2023
In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD.
CoRR, 2023
2022
QCNN: Quadrature Convolutional Neural Network with Application to Unstructured Data Compression.
CoRR, 2022
CoRR, 2022
2021
J. Optim. Theory Appl., 2021
J. Comput. Graph. Stat., 2021
Int. J. Comput. Math. Comput. Syst. Theory, 2021
Approximate maximum likelihood estimators for linear regression with design matrix uncertainty.
CoRR, 2021
CoRR, 2021
Comput. Optim. Appl., 2021
Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022.
Big Data, 2021
Superresolution Photoacoustic Tomography Using Random Speckle Illumination and Second Order Moments.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Optimization and Learning With Information Streams: Time-varying algorithms and applications.
IEEE Signal Process. Mag., 2020
J. Optim. Theory Appl., 2020
Adv. Comput. Math., 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
SIAM J. Sci. Comput., 2019
SIAM J. Optim., 2019
Improved fixed-rank Nyström approximation via QR decomposition: Practical and theoretical aspects.
Neurocomputing, 2019
Guarantees for the Kronecker Fast Johnson-Lindenstrauss Transform Using a Coherence and Sampling Argument.
CoRR, 2019
Stochastic Lanczos estimation of genomic variance components for linear mixed-effects models.
BMC Bioinform., 2019
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Proceedings of the IEEE Data Science Workshop, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Preconditioned Data Sparsification for Big Data With Applications to PCA and K-Means.
IEEE Trans. Inf. Theory, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
IEEE Signal Process. Mag., 2016
CoRR, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 29th Conference on Learning Theory, 2016
2015
Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost.
IEEE J. Sel. Top. Signal Process., 2015
2014
Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics.
IEEE Signal Process. Mag., 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Joint low-rank representation and matrix completion under a singular value thresholding framework.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the ESSCIRC 2013, 2013
2012
A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Design and implementation of a fully integrated compressed-sensing signal acquisition system.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
SIAM J. Imaging Sci., 2011
Math. Program. Comput., 2011