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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
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last updated on 2024-10-07 22:11 CEST by the dblp team
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