default search action
Stephen Becker
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j31]Kevin Doherty, Cooper Simpson, Stephen Becker, Alireza Doostan:
QuadConv: Quadrature-based convolutions with applications to non-uniform PDE data compression. J. Comput. Phys. 498: 112636 (2024) - [j30]Liam Madden, Emiliano Dall'Anese, Stephen Becker:
High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise. J. Mach. Learn. Res. 25: 241:1-241:36 (2024) - [j29]Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan:
Subsampling of Parametric Models with Bifidelity Boosting. SIAM/ASA J. Uncertain. Quantification 12(2): 213-241 (2024) - [i33]Nuojin Cheng, Stephen Becker:
Variational Entropy Search for Adjusting Expected Improvement. CoRR abs/2402.11345 (2024) - [i32]Jacob Spainhour, Korben Smart, Stephen Becker, Nick Bottenus:
Optimization of Array Encoding for Ultrasound Imaging. CoRR abs/2403.00289 (2024) - [i31]Angran Li, Stephen Becker, Alireza Doostan:
Online randomized interpolative decomposition with a posteriori error estimator for temporal PDE data reduction. CoRR abs/2405.16076 (2024) - 2023
- [j28]Mitchell Krock, William Kleiber, Dorit Hammerling, Stephen Becker:
Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso. J. Comput. Graph. Stat. 32(4): 1472-1487 (2023) - [i30]Nuojin Cheng, Osman Asif Malik, Stephen Becker, Alireza Doostan:
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification. CoRR abs/2305.16530 (2023) - [i29]Riccardo Balin, Filippo Simini, Cooper Simpson, Andrew Shao, Alessandro Rigazzi, Matthew Ellis, Stephen Becker, Alireza Doostan, John A. Evans, Kenneth E. Jansen:
In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD. CoRR abs/2306.12900 (2023) - 2022
- [i28]Osman Asif Malik, Yiming Xu, Nuojin Cheng, Stephen Becker, Alireza Doostan, Akil Narayan:
Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems. CoRR abs/2209.05662 (2022) - [i27]Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan:
Quadrature Sampling of Parametric Models with Bi-fidelity Boosting. CoRR abs/2209.05705 (2022) - [i26]Kevin Doherty, Cooper Simpson, Stephen Becker, Alireza Doostan:
QCNN: Quadrature Convolutional Neural Network with Application to Unstructured Data Compression. CoRR abs/2211.05151 (2022) - 2021
- [j27]Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Stephen Becker, Maziar Raissi:
Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022. Big Data 9(4): 326-327 (2021) - [j26]Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Stephen Becker, Maziar Raissi:
Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022. Big Data 9(5): 404-405 (2021) - [j25]Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Stephen Becker, Maziar Raissi:
Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022. Big Data 9(6): 409-410 (2021) - [j24]David Kozak, Stephen Becker, Alireza Doostan, Luis Tenorio:
A stochastic subspace approach to gradient-free optimization in high dimensions. Comput. Optim. Appl. 79(2): 339-368 (2021) - [j23]Osman Asif Malik, Stephen Becker:
Randomization of approximate bilinear computation for matrix multiplication. Int. J. Comput. Math. Comput. Syst. Theory 6(1): 54-93 (2021) - [j22]Mitchell Krock, William Kleiber, Stephen Becker:
Nonstationary Modeling With Sparsity for Spatial Data via the Basis Graphical Lasso. J. Comput. Graph. Stat. 30(2): 375-389 (2021) - [j21]Zhishen Huang, Stephen Becker:
Spectral estimation from simulations via sketching. J. Comput. Phys. 447: 110686 (2021) - [j20]Liam Madden, Stephen Becker, Emiliano Dall'Anese:
Bounds for the Tracking Error of First-Order Online Optimization Methods. J. Optim. Theory Appl. 189(2): 437-457 (2021) - [c22]Osman Asif Malik, Stephen Becker:
A Sampling-Based Method for Tensor Ring Decomposition. ICML 2021: 7400-7411 - [c21]Zhishen Huang, Stephen Becker:
Stochastic Gradient Langevin Dynamics with Variance Reduction. IJCNN 2021: 1-8 - [c20]Osman Asif Malik, Venkatalakshmi Vyjayanthi Narumanchi, Stephen Becker, Todd W. Murray:
Superresolution Photoacoustic Tomography Using Random Speckle Illumination and Second Order Moments. WASPAA 2021: 141-145 - [i25]Mitchell Krock, William Kleiber, Dorit Hammerling, Stephen Becker:
Modeling massive multivariate spatial data with the basis graphical lasso. CoRR abs/2101.02404 (2021) - [i24]Zhishen Huang, Stephen Becker:
Stochastic Gradient Langevin Dynamics with Variance Reduction. CoRR abs/2102.06759 (2021) - [i23]Richard J. Clancy, Stephen Becker:
Approximate maximum likelihood estimators for linear regression with design matrix uncertainty. CoRR abs/2104.03307 (2021) - 2020
- [j19]Osman Asif Malik, Stephen Becker:
Fast randomized matrix and tensor interpolative decomposition using CountSketch. Adv. Comput. Math. 46(6): 76 (2020) - [j18]James Folberth, Stephen Becker:
Safe Feature Elimination for Non-negativity Constrained Convex Optimization. J. Optim. Theory Appl. 184(3): 931-952 (2020) - [j17]Lucas Laird, Richard C. Tillquist, Stephen Becker, Manuel E. Lladser:
Resolvability of Hamming Graphs. SIAM J. Discret. Math. 34(4): 2063-2081 (2020) - [j16]Farhad Pourkamali-Anaraki, James Folberth, Stephen Becker:
Efficient Solvers for Sparse Subspace Clustering. Signal Process. 172: 107548 (2020) - [j15]Stephen Becker, Richard Clancy:
Robust least squares for quantized data matrices. Signal Process. 176: 107711 (2020) - [j14]Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker, Liam Madden:
Optimization and Learning With Information Streams: Time-varying algorithms and applications. IEEE Signal Process. Mag. 37(3): 71-83 (2020) - [c19]Shuang Li, Stephen Becker, Michael B. Wakin:
Nuclear Norm Based Spectrum Estimation for Molecular Dynamic Simulations. ACSSC 2020: 1457-1461 - [i22]Will Shand, Stephen Becker:
Locality-sensitive hashing in function spaces. CoRR abs/2002.03909 (2020) - [i21]Richard Clancy, Stephen Becker:
Robust Least Squares for Quantized Data. CoRR abs/2003.12004 (2020) - [i20]Zhishen Huang, Stephen Becker:
Spectral estimation from simulations via sketching. CoRR abs/2007.11026 (2020) - [i19]Osman Asif Malik, Stephen Becker:
A Sampling Based Method for Tensor Ring Decomposition. CoRR abs/2010.08581 (2020)
2010 – 2019
- 2019
- [j13]Richard Border, Stephen Becker:
Stochastic Lanczos estimation of genomic variance components for linear mixed-effects models. BMC Bioinform. 20(1): 411:1-411:16 (2019) - [j12]Jessica A. Gronski, Mohamed Amin Ben Sassi, Stephen Becker, Sriram Sankaranarayanan:
Template polyhedra and bilinear optimization. Formal Methods Syst. Des. 54(1): 27-63 (2019) - [j11]Farhad Pourkamali-Anaraki, Stephen Becker:
Improved fixed-rank Nyström approximation via QR decomposition: Practical and theoretical aspects. Neurocomputing 363: 261-272 (2019) - [j10]Stephen Becker, Jalal Fadili, Peter Ochs:
On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence. SIAM J. Optim. 29(4): 2445-2481 (2019) - [j9]Derek Driggs, Stephen Becker, Aleksandr Y. Aravkin:
Adapting Regularized Low-Rank Models for Parallel Architectures. SIAM J. Sci. Comput. 41(1): A163-A189 (2019) - [c18]Eric Kightley, Stephen Becker:
One-Pass Sparsified Gaussian Mixtures. IEEE BigData 2019: 2865-2870 - [c17]Liam Madden, Stephen Becker, Emiliano Dall'Anese:
Online Sparse Subspace Clustering. DSW 2019: 248-252 - [c16]Zhishen Huang, Stephen Becker:
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions. INNSBDDL 2019: 58-77 - [i18]Zhishen Huang, Stephen Becker:
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions. CoRR abs/1901.08958 (2019) - [i17]Osman Asif Malik, Stephen Becker:
Fast Randomized Matrix and Tensor Interpolative Decomposition Using CountSketch. CoRR abs/1901.10559 (2019) - [i16]Eric Kightley, Stephen Becker:
One-Pass Sparsified Gaussian Mixtures. CoRR abs/1903.04056 (2019) - [i15]Osman Asif Malik, Stephen Becker:
Randomization of Approximate Bilinear Computation for Matrix Multiplication. CoRR abs/1905.07439 (2019) - [i14]Lucas Laird, Richard C. Tillquist, Stephen Becker, Manuel E. Lladser:
Resolvability of Hamming Graphs. CoRR abs/1907.05974 (2019) - [i13]James Folberth, Stephen Becker:
Safe Feature Elimination for Non-Negativity Constrained Convex Optimization. CoRR abs/1907.10831 (2019) - [i12]Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker, Liam Madden:
Optimization and Learning with Information Streams: Time-varying Algorithms and Applications. CoRR abs/1910.08123 (2019) - [i11]Osman Asif Malik, Stephen Becker:
Guarantees for the Kronecker Fast Johnson-Lindenstrauss Transform Using a Coherence and Sampling Argument. CoRR abs/1911.08424 (2019) - 2018
- [c15]Farhad Pourkamali-Anaraki, Stephen Becker, Michael B. Wakin:
Randomized Clustered Nystrom for Large-Scale Kernel Machines. AAAI 2018: 3960-3967 - [c14]Osman Asif Malik, Stephen Becker:
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch. NeurIPS 2018: 10117-10127 - [i10]Farhad Pourkamali-Anaraki, Stephen Becker:
Efficient Solvers for Sparse Subspace Clustering. CoRR abs/1804.06291 (2018) - 2017
- [j8]Farhad Pourkamali-Anaraki, Stephen Becker:
Preconditioned Data Sparsification for Big Data With Applications to PCA and K-Means. IEEE Trans. Inf. Theory 63(5): 2954-2974 (2017) - [c13]Stephen Becker, Ban Kawas, Marek Petrik:
Robust Partially-Compressed Least-Squares. AAAI 2017: 1742-1748 - [i9]Farhad Pourkamali-Anaraki, Stephen Becker:
Improved Fixed-Rank Nyström Approximation via QR Decomposition: Practical and Theoretical Aspects. CoRR abs/1708.03218 (2017) - 2016
- [j7]James Folberth, Stephen Becker:
Efficient Adjoint Computation for Wavelet and Convolution Operators [Lecture Notes]. IEEE Signal Process. Mag. 33(6): 135-147 (2016) - [c12]Rafael M. Frongillo, Ian A. Kash, Stephen Becker:
Open Problem: Property Elicitation and Elicitation Complexity. COLT 2016: 1655-1658 - [c11]Farhad Pourkamali-Anaraki, Stephen Becker:
A randomized approach to efficient kernel clustering. GlobalSIP 2016: 207-211 - [i8]Aleksandr Y. Aravkin, Stephen Becker:
Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition. CoRR abs/1603.00284 (2016) - [i7]Farhad Pourkamali-Anaraki, Stephen Becker:
Randomized Clustered Nystrom for Large-Scale Kernel Machines. CoRR abs/1612.06470 (2016) - 2015
- [j6]John J. Bruer, Joel A. Tropp, Volkan Cevher, Stephen Becker:
Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost. IEEE J. Sel. Top. Signal Process. 9(4): 612-624 (2015) - [i6]Farhad Pourkamali-Anaraki, Stephen Becker, Shannon M. Hughes:
Efficient Dictionary Learning via Very Sparse Random Projections. CoRR abs/1504.01169 (2015) - [i5]Stephen Becker, Ban Kawas, Marek Petrik, Karthikeyan Natesan Ramamurthy:
Robust Partially-Compressed Least-Squares. CoRR abs/1510.04905 (2015) - [i4]Farhad Pourkamali-Anaraki, Stephen Becker:
Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means. CoRR abs/1511.00152 (2015) - 2014
- [j5]Volkan Cevher, Stephen Becker, Mark Schmidt:
Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics. IEEE Signal Process. Mag. 31(5): 32-43 (2014) - [c10]Christos Tzagkarakis, Stephen Becker, Athanasios Mouchtaris:
Joint low-rank representation and matrix completion under a singular value thresholding framework. EUSIPCO 2014: 1202-1206 - [c9]Bubacarr Bah, Stephen Becker, Volkan Cevher, Baran Gozcu:
Metric learning with rank and sparsity constraints. ICASSP 2014: 21-25 - [c8]John J. Bruer, Joel A. Tropp, Volkan Cevher, Stephen Becker:
Time-Data Tradeoffs by Aggressive Smoothing. NIPS 2014: 1664-1672 - [c7]Cho-Jui Hsieh, Inderjit S. Dhillon, Pradeep Ravikumar, Stephen Becker, Peder A. Olsen:
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models. NIPS 2014: 2006-2014 - [c6]Aleksandr Y. Aravkin, Stephen Becker, Volkan Cevher, Peder A. Olsen:
A variational approach to stable principal component pursuit. UAI 2014: 32-41 - [i3]Volkan Cevher, Stephen Becker, Mark Schmidt:
Convex Optimization for Big Data. CoRR abs/1411.0972 (2014) - 2013
- [c5]Emmanuel J. Candès, Stephen Becker:
Compressive sensing: Principles and hardware implementations. ESSCIRC 2013: 22-23 - [c4]Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch:
Sparse simplex projections for portfolio optimization. GlobalSIP 2013: 1141 - [c3]Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch:
Sparse projections onto the simplex. ICML (2) 2013: 235-243 - [i2]Stephen Becker, Volkan Cevher, Anastasios Kyrillidis:
Randomized Low-Memory Singular Value Projection. CoRR abs/1303.0167 (2013) - 2012
- [j4]Michael B. Wakin, Stephen Becker, Eric B. Nakamura, Michael C. Grant, Emilio A. Sovero, Daniel Ching, Juhwan Yoo, Justin K. Romberg, Azita Emami-Neyestanak, Emmanuel J. Candès:
A Nonuniform Sampler for Wideband Spectrally-Sparse Environments. IEEE J. Emerg. Sel. Topics Circuits Syst. 2(3): 516-529 (2012) - [j3]Juhwan Yoo, Christopher K. Turnes, Eric B. Nakamura, Chi K. Le, Stephen Becker, Emilio A. Sovero, Michael B. Wakin, Michael C. Grant, Justin K. Romberg, Azita Emami-Neyestanak, Emmanuel J. Candès:
A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition. IEEE J. Emerg. Sel. Topics Circuits Syst. 2(3): 626-638 (2012) - [c2]Juhwan Yoo, Stephen Becker, Manuel Monge, Matthew Loh, Emmanuel J. Candès, Azita Emami-Neyestanak:
Design and implementation of a fully integrated compressed-sensing signal acquisition system. ICASSP 2012: 5325-5328 - [c1]Stephen Becker, Mohamed-Jalal Fadili:
A quasi-Newton proximal splitting method. NIPS 2012: 2627-2635 - [i1]Anastasios Kyrillidis, Stephen Becker, Volkan Cevher:
Sparse projections onto the simplex. CoRR abs/1206.1529 (2012) - 2011
- [j2]Stephen Becker, Emmanuel J. Candès, Michael C. Grant:
Templates for convex cone problems with applications to sparse signal recovery. Math. Program. Comput. 3(3): 165-218 (2011) - [j1]Stephen Becker, Jérôme Bobin, Emmanuel J. Candès:
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery. SIAM J. Imaging Sci. 4(1): 1-39 (2011)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint