Stephen Becker

100 papers A* 6A 2B 1Misc 3Journal 75Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast algorithms for least squares problems with Kronecker lower subsets. J. Sci. Comput. Osman Asif Malik, Yiming Xu, Nuojin Cheng, Stephen Becker, Alireza Doostan, Akil Narayan
2025	A*	`conf`	A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization. ICML Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi
2025	J	`jnl`	A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization. CoRR Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi
2025	—	`conf`	Aligning to What? Limits to RLHF Based Alignment. NAACL (Findings) Logan Barnhart, Reza Akbarian Bafghi, Stephen Becker, Maziar Raissi
2025	J	`jnl`	Aligning to What? Limits to RLHF Based Alignment. CoRR Logan Barnhart, Reza Akbarian Bafghi, Stephen Becker, Maziar Raissi
2025	J	`jnl`	Approximate maximum likelihood estimators for linear regression with independent component-wise design matrix uncertainty. Math. Program. Comput. Richard J. Clancy, Stephen Becker
2025	J	`jnl`	Dependence of parallel imaging with linear predictability on the undersampling direction. J. Electronic Imaging Alex McManus, Stephen Becker, Nicholas Dwork
2025	J	`jnl`	Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation. CoRR Bhavana Jonnalagadda, Stephen Becker
2025	A	`conf`	Exploring Exploration in Bayesian Optimization. UAI Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi
2025	J	`jnl`	Exploring Exploration in Bayesian Optimization. CoRR Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi
2025	J	`jnl`	In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization. CoRR Cooper Simpson, Stephen Becker, Alireza Doostan
2025	J	`jnl`	Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search. CoRR Nuojin Cheng, Alireza Doostan, Stephen Becker
2025	J	`jnl`	Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search. Trans. Mach. Learn. Res. Nuojin Cheng, Alireza Doostan, Stephen Becker
2025	J	`jnl`	WENDy for Nonlinear-in-Parameters ODEs. CoRR Nic Rummel, Daniel A. Messenger, Stephen Becker, Vanja Dukic, David M. Bortz
2024	J	`jnl`	High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise. J. Mach. Learn. Res. Liam Madden, Emiliano Dall'Anese, Stephen Becker
2024	J	`jnl`	Online randomized interpolative decomposition with a posteriori error estimator for temporal PDE data reduction. CoRR Angran Li, Stephen Becker, Alireza Doostan
2024	J	`jnl`	Optimization of Array Encoding for Ultrasound Imaging. CoRR Jacob Spainhour, Korben Smart, Stephen Becker, Nick Bottenus
2024	J	`jnl`	QuadConv: Quadrature-based convolutions with applications to non-uniform PDE data compression. J. Comput. Phys. Kevin Doherty, Cooper Simpson, Stephen Becker, Alireza Doostan
2024	J	`jnl`	Subsampling of Parametric Models with Bifidelity Boosting. SIAM/ASA J. Uncertain. Quantification Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan
2024	J	`jnl`	Variational Entropy Search for Adjusting Expected Improvement. CoRR Nuojin Cheng, Stephen Becker
2023	J	`jnl`	Bi-fidelity Variational Auto-encoder for Uncertainty Quantification. CoRR Nuojin Cheng, Osman Asif Malik, Stephen Becker, Alireza Doostan
2023	J	`jnl`	In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD. CoRR Riccardo Balin, Filippo Simini, Cooper Simpson, Andrew Shao, Alessandro Rigazzi, Matthew Ellis, Stephen Becker, Alireza Doostan, John A. Evans, Kenneth E. Jansen
2023	J	`jnl`	Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso. J. Comput. Graph. Stat. Mitchell Krock, William Kleiber, Dorit Hammerling, Stephen Becker
2022	J	`jnl`	Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems. CoRR Osman Asif Malik, Yiming Xu, Nuojin Cheng, Stephen Becker, Alireza Doostan, Akil Narayan
2022	J	`jnl`	QCNN: Quadrature Convolutional Neural Network with Application to Unstructured Data Compression. CoRR Kevin Doherty, Cooper Simpson, Stephen Becker, Alireza Doostan
2022	J	`jnl`	Quadrature Sampling of Parametric Models with Bi-fidelity Boosting. CoRR Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan
2021	A*	`conf`	A Sampling-Based Method for Tensor Ring Decomposition. ICML Osman Asif Malik, Stephen Becker
2021	J	`jnl`	A stochastic subspace approach to gradient-free optimization in high dimensions. Comput. Optim. Appl. David Kozak, Stephen Becker, Alireza Doostan, Luis Tenorio
2021	J	`jnl`	Approximate maximum likelihood estimators for linear regression with design matrix uncertainty. CoRR Richard J. Clancy, Stephen Becker
2021	J	`jnl`	Bounds for the Tracking Error of First-Order Online Optimization Methods. J. Optim. Theory Appl. Liam Madden, Stephen Becker, Emiliano Dall'Anese
2021	J	`jnl`	Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022. Big Data Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Stephen Becker, Maziar Raissi
2021	J	`jnl`	Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022. Big Data Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Stephen Becker, Maziar Raissi
2021	J	`jnl`	Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022. Big Data Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Stephen Becker, Maziar Raissi
2021	J	`jnl`	Modeling massive multivariate spatial data with the basis graphical lasso. CoRR Mitchell Krock, William Kleiber, Dorit Hammerling, Stephen Becker
2021	J	`jnl`	Nonstationary Modeling With Sparsity for Spatial Data via the Basis Graphical Lasso. J. Comput. Graph. Stat. Mitchell Krock, William Kleiber, Stephen Becker
2021	J	`jnl`	Randomization of approximate bilinear computation for matrix multiplication. Int. J. Comput. Math. Comput. Syst. Theory Osman Asif Malik, Stephen Becker
2021	J	`jnl`	Spectral estimation from simulations via sketching. J. Comput. Phys. Zhishen Huang, Stephen Becker
2021	B	`conf`	Stochastic Gradient Langevin Dynamics with Variance Reduction. IJCNN Zhishen Huang, Stephen Becker
2021	J	`jnl`	Stochastic Gradient Langevin Dynamics with Variance Reduction. CoRR Zhishen Huang, Stephen Becker
2021	—	`conf`	Superresolution Photoacoustic Tomography Using Random Speckle Illumination and Second Order Moments. WASPAA Osman Asif Malik, Venkatalakshmi Vyjayanthi Narumanchi, Stephen Becker, Todd W. Murray
2020	J	`jnl`	A Sampling Based Method for Tensor Ring Decomposition. CoRR Osman Asif Malik, Stephen Becker
2020	J	`jnl`	Efficient Solvers for Sparse Subspace Clustering. Signal Process. Farhad Pourkamali-Anaraki, James Folberth, Stephen Becker
2020	J	`jnl`	Fast randomized matrix and tensor interpolative decomposition using CountSketch. Adv. Comput. Math. Osman Asif Malik, Stephen Becker
2020	J	`jnl`	Locality-sensitive hashing in function spaces. CoRR Will Shand, Stephen Becker
2020	Misc	`conf`	Nuclear Norm Based Spectrum Estimation for Molecular Dynamic Simulations. ACSSC Shuang Li, Stephen Becker, Michael B. Wakin
2020	J	`jnl`	Optimization and Learning With Information Streams: Time-varying algorithms and applications. IEEE Signal Process. Mag. Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker, Liam Madden
2020	J	`jnl`	Resolvability of Hamming Graphs. SIAM J. Discret. Math. Lucas Laird, Richard C. Tillquist, Stephen Becker, Manuel E. Lladser
2020	J	`jnl`	Robust Least Squares for Quantized Data. CoRR Richard Clancy, Stephen Becker
2020	J	`jnl`	Robust least squares for quantized data matrices. Signal Process. Stephen Becker, Richard Clancy
2020	J	`jnl`	Safe Feature Elimination for Non-negativity Constrained Convex Optimization. J. Optim. Theory Appl. James Folberth, Stephen Becker
2020	J	`jnl`	Spectral estimation from simulations via sketching. CoRR Zhishen Huang, Stephen Becker
2019	J	`jnl`	Adapting Regularized Low-Rank Models for Parallel Architectures. SIAM J. Sci. Comput. Derek Driggs, Stephen Becker, Aleksandr Y. Aravkin
2019	J	`jnl`	Fast Randomized Matrix and Tensor Interpolative Decomposition Using CountSketch. CoRR Osman Asif Malik, Stephen Becker
2019	J	`jnl`	Guarantees for the Kronecker Fast Johnson-Lindenstrauss Transform Using a Coherence and Sampling Argument. CoRR Osman Asif Malik, Stephen Becker
2019	J	`jnl`	Improved fixed-rank Nyström approximation via QR decomposition: Practical and theoretical aspects. Neurocomputing Farhad Pourkamali-Anaraki, Stephen Becker
2019	J	`jnl`	On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence. SIAM J. Optim. Stephen Becker, Jalal Fadili, Peter Ochs
2019	—	`conf`	One-Pass Sparsified Gaussian Mixtures. IEEE BigData Eric Kightley, Stephen Becker
2019	J	`jnl`	One-Pass Sparsified Gaussian Mixtures. CoRR Eric Kightley, Stephen Becker
2019	—	`conf`	Online Sparse Subspace Clustering. DSW Liam Madden, Stephen Becker, Emiliano Dall'Anese
2019	J	`jnl`	Optimization and Learning with Information Streams: Time-varying Algorithms and Applications. CoRR Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker, Liam Madden
2019	—	`conf`	Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions. INNSBDDL Zhishen Huang, Stephen Becker
2019	J	`jnl`	Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions. CoRR Zhishen Huang, Stephen Becker
2019	J	`jnl`	Randomization of Approximate Bilinear Computation for Matrix Multiplication. CoRR Osman Asif Malik, Stephen Becker
2019	J	`jnl`	Resolvability of Hamming Graphs. CoRR Lucas Laird, Richard C. Tillquist, Stephen Becker, Manuel E. Lladser
2019	J	`jnl`	Safe Feature Elimination for Non-Negativity Constrained Convex Optimization. CoRR James Folberth, Stephen Becker
2019	J	`jnl`	Stochastic Lanczos estimation of genomic variance components for linear mixed-effects models. BMC Bioinform. Richard Border, Stephen Becker
2019	J	`jnl`	Template polyhedra and bilinear optimization. Formal Methods Syst. Des. Jessica A. Gronski, Mohamed Amin Ben Sassi, Stephen Becker, Sriram Sankaranarayanan
2018	J	`jnl`	Efficient Solvers for Sparse Subspace Clustering. CoRR Farhad Pourkamali-Anaraki, Stephen Becker
2018	A*	`conf`	Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch. NeurIPS Osman Asif Malik, Stephen Becker
2018	A*	`conf`	Randomized Clustered Nystrom for Large-Scale Kernel Machines. AAAI Farhad Pourkamali-Anaraki, Stephen Becker, Michael B. Wakin
2017	J	`jnl`	Improved Fixed-Rank Nyström Approximation via QR Decomposition: Practical and Theoretical Aspects. CoRR Farhad Pourkamali-Anaraki, Stephen Becker
2017	J	`jnl`	Preconditioned Data Sparsification for Big Data With Applications to PCA and K-Means. IEEE Trans. Inf. Theory Farhad Pourkamali-Anaraki, Stephen Becker
2017	A*	`conf`	Robust Partially-Compressed Least-Squares. AAAI Stephen Becker, Ban Kawas, Marek Petrik
2016	—	`conf`	A randomized approach to efficient kernel clustering. GlobalSIP Farhad Pourkamali-Anaraki, Stephen Becker
2016	J	`jnl`	Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition. CoRR Aleksandr Y. Aravkin, Stephen Becker
2016	J	`jnl`	Efficient Adjoint Computation for Wavelet and Convolution Operators [Lecture Notes]. IEEE Signal Process. Mag. James Folberth, Stephen Becker
2016	A*	`conf`	Open Problem: Property Elicitation and Elicitation Complexity. COLT Rafael M. Frongillo, Ian A. Kash, Stephen Becker
2016	J	`jnl`	Randomized Clustered Nystrom for Large-Scale Kernel Machines. CoRR Farhad Pourkamali-Anaraki, Stephen Becker
2015	J	`jnl`	Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost. IEEE J. Sel. Top. Signal Process. John J. Bruer, Joel A. Tropp, Volkan Cevher, Stephen Becker
2015	J	`jnl`	Efficient Dictionary Learning via Very Sparse Random Projections. CoRR Farhad Pourkamali-Anaraki, Stephen Becker, Shannon M. Hughes
2015	J	`jnl`	Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means. CoRR Farhad Pourkamali-Anaraki, Stephen Becker
2015	J	`jnl`	Robust Partially-Compressed Least-Squares. CoRR Stephen Becker, Ban Kawas, Marek Petrik, Karthikeyan Natesan Ramamurthy
2014	A	`conf`	A variational approach to stable principal component pursuit. UAI Aleksandr Y. Aravkin, Stephen Becker, Volkan Cevher, Peder A. Olsen
2014	J	`jnl`	Convex Optimization for Big Data. CoRR Volkan Cevher, Stephen Becker, Mark Schmidt
2014	J	`jnl`	Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics. IEEE Signal Process. Mag. Volkan Cevher, Stephen Becker, Mark Schmidt
2014	—	`conf`	Joint low-rank representation and matrix completion under a singular value thresholding framework. EUSIPCO Christos Tzagkarakis, Stephen Becker, Athanasios Mouchtaris
2014	Misc	`conf`	Metric learning with rank and sparsity constraints. ICASSP Bubacarr Bah, Stephen Becker, Volkan Cevher, Baran Gozcu
2014	—	`conf`	QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models. NIPS Cho-Jui Hsieh, Inderjit S. Dhillon, Pradeep Ravikumar, Stephen Becker, Peder A. Olsen
2014	—	`conf`	Time-Data Tradeoffs by Aggressive Smoothing. NIPS John J. Bruer, Joel A. Tropp, Volkan Cevher, Stephen Becker
2013	—	`conf`	Compressive sensing: Principles and hardware implementations. ESSCIRC Emmanuel J. Candès, Stephen Becker
2013	J	`jnl`	Randomized Low-Memory Singular Value Projection CoRR Stephen Becker, Volkan Cevher, Anastasios Kyrillidis
2013	—	`conf`	Sparse projections onto the simplex. ICML (2) Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch
2013	—	`conf`	Sparse simplex projections for portfolio optimization. GlobalSIP Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch
2012	J	`jnl`	A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition. IEEE J. Emerg. Sel. Topics Circuits Syst. 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
2012	J	`jnl`	A Nonuniform Sampler for Wideband Spectrally-Sparse Environments. IEEE J. Emerg. Sel. Topics Circuits Syst. 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
2012	—	`conf`	A quasi-Newton proximal splitting method. NIPS Stephen Becker, Mohamed-Jalal Fadili
2012	Misc	`conf`	Design and implementation of a fully integrated compressed-sensing signal acquisition system. ICASSP Juhwan Yoo, Stephen Becker, Manuel Monge, Matthew Loh, Emmanuel J. Candès, Azita Emami-Neyestanak
2012	J	`jnl`	Sparse projections onto the simplex CoRR Anastasios Kyrillidis, Stephen Becker, Volkan Cevher
2011	J	`jnl`	NESTA: A Fast and Accurate First-Order Method for Sparse Recovery. SIAM J. Imaging Sci. Stephen Becker, Jérôme Bobin, Emmanuel J. Candès
2011	J	`jnl`	Templates for convex cone problems with applications to sparse signal recovery. Math. Program. Comput. Stephen Becker, Emmanuel J. Candès, Michael C. Grant