Deanna Needell
Orcid: 0000-0002-8058-8638Affiliations:
- University of California, Los Angeles, Department of Mathematic, CA, USA
According to our database1,
Deanna Needell
authored at least 173 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on cmc.edu
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on orcid.org
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on id.loc.gov
On csauthors.net:
Bibliography
2024
Harnessing the Power of Sample Abundance: Theoretical Guarantees and Algorithms for Accelerated One-Bit Sensing.
IEEE Trans. Inf. Theory, September, 2024
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions.
SIAM J. Imaging Sci., March, 2024
Frontiers Appl. Math. Stat., 2024
Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales.
Frontiers Appl. Math. Stat., 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Stochastic gradient descent for streaming linear and rectified linear systems with Massart noise.
CoRR, 2024
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Matrix Completion With Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements.
CoRR, 2023
CoRR, 2023
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
Analysis of Spatial and Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data.
SIAM J. Math. Data Sci., September, 2022
SIAM J. Matrix Anal. Appl., 2022
J. Mach. Learn. Res., 2022
CoRR, 2022
CoRR, 2022
On Block Accelerations of Quantile Randomized Kaczmarz for Corrupted Systems of Linear Equations.
CoRR, 2022
CoRR, 2022
Proceedings of the Topological, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022
Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022
Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2021
IEEE Trans. Inf. Theory, 2021
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares.
SIAM J. Matrix Anal. Appl., 2021
SIAM J. Matrix Anal. Appl., 2021
SIAM J. Imaging Sci., 2021
Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions.
J. Mach. Learn. Res., 2021
CoRR, 2021
Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery.
CoRR, 2021
CoRR, 2021
Analysis of Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data.
CoRR, 2021
CoRR, 2021
Ann. Math. Artif. Intell., 2021
Reconstructing Piezoelectric Responses over a Lattice: Adaptive Sampling of Low Dimensional Time Series Representations Based on Relative Isolation and Gradient Size.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition <sup>*</sup>.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
An Untrained One-layer Convolutional Network-based Method for Line Spectral Estimation.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
CoRR, 2020
Online nonnegative tensor factorization and CP-dictionary learning for Markovian data.
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Algorithms, 2020
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data.
Proceedings of the Information Theory and Applications Workshop, 2020
Proceedings of the Information Theory and Applications Workshop, 2020
Proceedings of the Information Theory and Applications Workshop, 2020
Proceedings of the Information Theory and Applications Workshop, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
IEEE Trans. Signal Process., 2019
Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions.
SIAM J. Sci. Comput., 2019
Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization.
CoRR, 2019
Online matrix factorization for Markovian data and applications to Network Dictionary Learning.
CoRR, 2019
Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing.
CoRR, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
Convergence of Iterative Hard Thresholding Variants with Application to Asynchronous Parallel Methods for Sparse Recovery.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
SIAM J. Matrix Anal. Appl., 2018
Proceedings of the 2018 Information Theory and Applications Workshop, 2018
Proceedings of the 2018 Information Theory and Applications Workshop, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Linear Convergence of Stochastic Iterative Greedy Algorithms With Sparse Constraints.
IEEE Trans. Inf. Theory, 2017
Exponential Decay of Reconstruction Error From Binary Measurements of Sparse Signals.
IEEE Trans. Inf. Theory, 2017
SIAM J. Sci. Comput., 2017
SIAM J. Sci. Comput., 2017
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors.
CoRR, 2017
Proceedings of the 2017 Information Theory and Applications Workshop, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017
2016
Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm.
Math. Program., 2016
Weighted ℓ<sub>1</sub>-Minimization for Sparse Recovery under Arbitrary Prior Information.
CoRR, 2016
CoRR, 2016
Proceedings of the 2016 Information Theory and Applications Workshop, 2016
2015
SIAM J. Matrix Anal. Appl., 2015
SIAM J. Math. Anal., 2015
J. Approx. Theory, 2015
CoRR, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
2014
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
IEEE Trans. Inf. Theory, 2013
IEEE Trans. Image Process., 2013
SIAM J. Imaging Sci., 2013
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
2012
Spectral Clustering: An empirical study of Approximation Algorithms and its Application to the Attrition Problem
CoRR, 2012
CoRR, 2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2011
Numer. Algorithms, 2011
2010
Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit.
IEEE J. Sel. Top. Signal Process., 2010
Commun. ACM, 2010
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010
2009
Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit.
Found. Comput. Math., 2009
2008
Proceedings of the Computational Imaging VI, 2008
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008
2003
Software Requirements Specification of a University Class Scheduler.
Proceedings of the International Conference on Software Engineering Research and Practice, 2003