Stephen Becker

Mohammad Amin Hariri-Ardebili

Maziar Raissi

Big Data, 2021

Superresolution Photoacoustic Tomography Using Random Speckle Illumination and Second Order Moments.

[BibT_eX]

[DOI]

Venkatalakshmi Vyjayanthi Narumanchi

Todd W. Murray

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Stochastic Gradient Langevin Dynamics with Variance Reduction.

[BibT_eX]

[DOI]

Zhishen Huang

Proceedings of the International Joint Conference on Neural Networks, 2021

A Sampling-Based Method for Tensor Ring Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Optimization and Learning With Information Streams: Time-varying algorithms and applications.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

Robust least squares for quantized data matrices.

[BibT_eX]

[DOI]

Richard Clancy

Signal Process., 2020

Efficient Solvers for Sparse Subspace Clustering.

[BibT_eX]

[DOI]

James Folberth

Signal Process., 2020

Resolvability of Hamming Graphs.

[BibT_eX]

[DOI]

SIAM J. Discret. Math., 2020

Safe Feature Elimination for Non-negativity Constrained Convex Optimization.

[BibT_eX]

[DOI]

James Folberth

J. Optim. Theory Appl., 2020

Robust Least Squares for Quantized Data.

[BibT_eX]

[DOI]

Richard Clancy

CoRR, 2020

Locality-sensitive hashing in function spaces.

[BibT_eX]

[DOI]

Will Shand

CoRR, 2020

Fast randomized matrix and tensor interpolative decomposition using CountSketch.

[BibT_eX]

[DOI]

Adv. Comput. Math., 2020

Nuclear Norm Based Spectrum Estimation for Molecular Dynamic Simulations.

[BibT_eX]

[DOI]

Shuang Li

Michael B. Wakin

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Adapting Regularized Low-Rank Models for Parallel Architectures.

[BibT_eX]

[DOI]

Derek Driggs

Aleksandr Y. Aravkin

SIAM J. Sci. Comput., 2019

On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence.

[BibT_eX]

[DOI]

Jalal Fadili

Peter Ochs

SIAM J. Optim., 2019

Improved fixed-rank Nyström approximation via QR decomposition: Practical and theoretical aspects.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Template polyhedra and bilinear optimization.

[BibT_eX]

[DOI]

Jessica A. Gronski

Mohamed Amin Ben Sassi

Sriram Sankaranarayanan

Formal Methods Syst. Des., 2019

Guarantees for the Kronecker Fast Johnson-Lindenstrauss Transform Using a Coherence and Sampling Argument.

[BibT_eX]

[DOI]

CoRR, 2019

Stochastic Lanczos estimation of genomic variance components for linear mixed-effects models.

[BibT_eX]

[DOI]

Richard Border

BMC Bioinform., 2019

Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions.

[BibT_eX]

[DOI]

Zhishen Huang

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Online Sparse Subspace Clustering.

[BibT_eX]

[DOI]

Liam Madden

Emiliano Dall'Anese

Proceedings of the IEEE Data Science Workshop, 2019

One-Pass Sparsified Gaussian Mixtures.

[BibT_eX]

[DOI]

Eric Kightley

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Efficient Solvers for Sparse Subspace Clustering.

[BibT_eX]

[DOI]

CoRR, 2018

Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Randomized Clustered Nystrom for Large-Scale Kernel Machines.

[BibT_eX]

[DOI]

Michael B. Wakin

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.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

Robust Partially-Compressed Least-Squares.

[BibT_eX]

[DOI]

Ban Kawas

Marek Petrik

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Efficient Adjoint Computation for Wavelet and Convolution Operators [Lecture Notes].

[BibT_eX]

[DOI]

James Folberth

IEEE Signal Process. Mag., 2016

Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition.

[BibT_eX]

[DOI]

Aleksandr Y. Aravkin

CoRR, 2016

Randomized Clustered Nystrom for Large-Scale Kernel Machines.

[BibT_eX]

[DOI]

CoRR, 2016

A randomized approach to efficient kernel clustering.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Open Problem: Property Elicitation and Elicitation Complexity.

[BibT_eX]

[DOI]

Rafael M. Frongillo

Ian A. Kash

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2015

Robust Partially-Compressed Least-Squares.

[BibT_eX]

[DOI]

Karthikeyan Natesan Ramamurthy

Ban Kawas

Marek Petrik

CoRR, 2015

Efficient Dictionary Learning via Very Sparse Random Projections.

[BibT_eX]

[DOI]

Shannon M. Hughes

CoRR, 2015

2014

Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics.

[BibT_eX]

[DOI]

Mark Schmidt

IEEE Signal Process. Mag., 2014

Convex Optimization for Big Data.

[BibT_eX]

[DOI]

Mark Schmidt

CoRR, 2014

A variational approach to stable principal component pursuit.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Time-Data Tradeoffs by Aggressive Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Metric learning with rank and sparsity constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Joint low-rank representation and matrix completion under a singular value thresholding framework.

[BibT_eX]

[DOI]

Christos Tzagkarakis

Athanasios Mouchtaris

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Randomized Low-Memory Singular Value Projection

[BibT_eX]

[DOI]

CoRR, 2013

Sparse projections onto the simplex.

[BibT_eX]

[DOI]

Christoph Koch

Proceedings of the 30th International Conference on Machine Learning, 2013

Sparse simplex projections for portfolio optimization.

[BibT_eX]

[DOI]

Christoph Koch

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Compressive sensing: Principles and hardware implementations.

[BibT_eX]

[DOI]

Emmanuel J. Candès

Proceedings of the ESSCIRC 2013, 2013

2012

A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition.

[BibT_eX]

[DOI]

Juhwan Yoo

Christopher K. Turnes

Azita Emami-Neyestanak

Emmanuel J. Candès

IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

A Nonuniform Sampler for Wideband Spectrally-Sparse Environments.

[BibT_eX]

[DOI]

Azita Emami-Neyestanak

Emmanuel J. Candès

IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

Sparse projections onto the simplex

[BibT_eX]

[DOI]

CoRR, 2012

A quasi-Newton proximal splitting method.

[BibT_eX]

[DOI]