of Biomedical Optics, 25(5), 056501 (2020).Įfficient Solvers for Sparse Subspace Clustering, Farhad Pourkamali-Anaraki, James Folberth, Stephen Becker. Previous arXiv version under the name “Penalized basis models for very large spatial datasets”Īnalyzing the super-resolution characteristics of focused-spot illumination approaches, J-Y Yu, V. Nonstationary Modeling With Sparsity for Spatial Data via the Basis Graphical Lasso, Mitchell Krock, William Kleiber, Stephen Becker, in Journal of Computational and Graphical Statistics, DOI. Guarantees for the Kronecker Fast Johnson-Lindenstrauss Transform Using a Coherence and Sampling Argument, Osman Asif Malik and Stephen Becker, in Linear Algebra and its Applications 602(1) pp 120-127, 2020 ( DOI) In Advances in Computational Mathematics, vol 46 (76) 2020. Discrete Math 34(4) pp 2063-2081, 2020.įast Randomized Matrix and Tensor Interpolative Decomposition Using CountSketch, Osman Asif Malik and Stephen Becker. Resolvability of Hamming Graphs, Lucas Laird, Richard C. Randomization of Approximate Bilinear Computation for Matrix Multiplication, Osman Asif Malik and Stephen Becker, in Journal of Computer Mathematics: Computer Systems Theory (IJCM: CST) 6(1) pp 54–93, 2021. Robust Least Squares for Quantized Data, Richard Clancy, Stephen Becker, in Signal Processing 176(107711) 2020, at DOI regularized maximum likelihood estimation with focused-spot illumination quadruples the diffraction-limited resolution in fluorescence microscopy, J. To appear in the Journal of Optimization Theory and Applications (JOTA), link. Updated version is A stochastic subspace approach to gradient-free optimization in high dimensions, published in Computational Optimization and Applications, DOI versionīounds for the tracking error of first-order online optimization methods Liam Madden, Stephen Becker, Emiliano Dall'Anese. Stochastic Subspace Descent, David Kozak, Stephen Becker, Alireza Doostan, Luis Tenorio. In Journal of Computational Physics, link Spectral estimation from simulations via sketching, Zhishen Huang, Stephen Becker. High probability convergence and uniform stability bounds for nonconvex stochastic gradient descent, Liam Madden, Emiliano Dall'Anese, Stephen BeckerĪ study of scalar optically-pumped magnetometers for use in magnetoencephalography without shielding, Richard Clancy, Vladislav Gerginov, Orang Alem, Stephen Becker, Svenja Knappe, to appear in Physics in Medicine and Biology, link Modeling massive multivariate spatial data with the basis graphical lasso, Mitchell Krock, William Kleiber, Dorit Hammerling, Stephen BeckerĪpproximate maximum likelihood estimators for linear regression with design matrix uncertainty, Richard Clancy, Stephen Becker On the computation of a non-parametric estimator by convex optimization, Akshay Seshadri, Stephen Becker Versatile fidelity estimation with confidence, Akshay Seshadri, Martin Ringbauer, Rainer Blatt, Thomas Monz, Stephen Becker and the companion paper (an extended version): Theory of versatile fidelity estimation with confidence by Akshay Seshadri, Martin Ringbauer, Thomas Monz, Stephen Becker Global solutions in deep learning in sub-linear time, Stephen Becker (best paper award NeurIPS 2021) (for the very latest, see my arXiv papers, google scholar papers, DBLP computer science papers, or ResearchGate and profiles my ORCID, and semantic scholar page)
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