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ORCIDNamrata Vaswani
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- affiliation: Iowa State University, Ames, Iowa, USA
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2020 – today
- 2024
[j42]Namrata Vaswani
:
Efficient Federated Low Rank Matrix Recovery via Alternating GD and Minimization: A Simple Proof. IEEE Trans. Inf. Theory 70(7): 5162-5167 (2024)- [j41]Ankit Pratap Singh, Namrata Vaswani:
Byzantine-Resilient Federated PCA and Low-Rank Column-Wise Sensing. IEEE Trans. Inf. Theory 70(11): 8001-8025 (2024) - [j40]Konstantinos Konstantinidis, Namrata Vaswani, Aditya Ramamoorthy:
Detection and Mitigation of Byzantine Attacks in Distributed Training. IEEE/ACM Trans. Netw. 32(2): 1493-1508 (2024) - [c82]Shana Moothedath, Namrata Vaswani:
Decentralized Low Rank Matrix Recovery from Column-Wise Projections by Alternating GD and Minimization. ICASSP 2024: 12936-12940 - [c81]Jiabin Lin, Shana Moothedath, Namrata Vaswani:
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits. ICML 2024 - [c80]Ankit Pratap Singh, Namrata Vaswani:
Byzantine Resilient and Fast Federated Few-Shot Learning. ICML 2024 - [c79]Ankit Pratap Singh, Namrata Vaswani:
Byzantine-Resilient Federated Principal Subspace Estimation. ISIT 2024: 2514-2519 - [i50]Ahmed Ali Abbasi, Namrata Vaswani:
Efficient Federated Low Rank Matrix Completion. CoRR abs/2405.06569 (2024) - [i49]Ankit Pratap Singh, Namrata Vaswani:
Noisy Low Rank Column-wise Sensing. CoRR abs/2409.08384 (2024) - [i48]Namrata Vaswani, Mohamed Y. Selim, Renee Serrell Gibert:
Democratizing Signal Processing and Machine Learning: Math Learning Equity for Elementary and Middle School Students. CoRR abs/2409.17304 (2024) - [i47]Jiabin Lin, Shana Moothedath, Namrata Vaswani:
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits. CoRR abs/2410.02068 (2024) - 2023
- [j39]Silpa Babu, Sajan Goud Lingala, Namrata Vaswani:
Fast Low Rank Column-Wise Compressive Sensing for Accelerated Dynamic MRI. IEEE Trans. Computational Imaging 9: 409-424 (2023) - [j38]Seyedehsara Nayer, Namrata Vaswani:
Fast and Sample-Efficient Federated Low Rank Matrix Recovery From Column-Wise Linear and Quadratic Projections. IEEE Trans. Inf. Theory 69(2): 1177-1202 (2023) - [c78]Ahmed Ali Abbasi, Shana Moothedath, Namrata Vaswani:
Fast Federated Low Rank Matrix Completion. Allerton 2023: 1-6 - [c77]Silpa Babu, Namrata Vaswani:
A Fast Algorithm for Low Rank + Sparse column-wise Compressive Sensing. Allerton 2023: 1-6 - [c76]Ankit Pratap Singh, Namrata Vaswani:
Byzantine-resilient Federated Low Rank Column-wise Compressive Sensing. Allerton 2023: 1-8 - [c75]Silpa Babu, Selin Aviyente, Namrata Vaswani:
Tensor Low Rank Column-Wise Compressive Sensing for Dynamic Imaging. ICASSP 2023: 1-5 - [c74]Shana Moothedath, Namrata Vaswani:
Comparing Decentralized Gradient Descent Approaches and Guarantees. ICASSP 2023: 1-5 - [i46]Namrata Vaswani:
A Simple Proof for Efficient Federated Low Rank Matrix Recovery from column-wise Linear Projections. CoRR abs/2306.17782 (2023) - [i45]Ankit Pratap Singh, Namrata Vaswani:
Byzantine-Resilient Federated PCA and Low Rank Matrix Recovery. CoRR abs/2309.14512 (2023) - 2022
- [j37]Namrata Vaswani:
Corrections to "Provable Low Rank Phase Retrieval". IEEE Trans. Inf. Theory 68(2): 1397-1400 (2022) - [j36]Praneeth Narayanamurthy, Namrata Vaswani, Aditya Ramamoorthy:
Federated Over-Air Subspace Tracking From Incomplete and Corrupted Data. IEEE Trans. Signal Process. 70: 3906-3920 (2022) - [c73]Shana Moothedath, Namrata Vaswani:
Fully Decentralized and Federated Low Rank Compressive Sensing. ACC 2022: 1491-1496 - [c72]Shana Moothedath, Namrata Vaswani:
Dec-AltProjGDmin: Fully-Decentralized Alternating Projected Gradient Descent for Low Rank Column-wise Compressive Sensing. CDC 2022: 1648-1653 - [c71]Silpa Babu, Seyedehsara Nayer, Sajan Goud Lingala, Namrata Vaswani:
Fast Low Rank Column-Wise Compressive Sensing For Accelerated Dynamic MRI. ICASSP 2022: 1346-1350 - [c70]Praneeth Narayanamurthy, Namrata Vaswani, Aditya Ramamoorthy:
Federated Over-Air Robust Subspace Tracking from Missing Data. ICASSP 2022: 5598-5602 - [c69]Zhengyu Chen, Seyedehsara Nayer, Namrata Vaswani:
Undersampled Dynamic Fourier Ptychography via Phaseless PCA. ICIP 2022: 2951-2955 - [c68]Seyedehsara Nayer, Namrata Vaswani:
Fast Low Rank column-wise Compressive Sensing. ISIT 2022: 3285-3290 - [i44]Shana Moothedath, Namrata Vaswani:
Fully-Decentralized Alternating Projected Gradient Descent for Low Rank column-wise Compressive Sensing. CoRR abs/2204.08117 (2022) - 2021
- [j35]Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani:
Efficient and Robust Distributed Matrix Computations via Convolutional Coding. IEEE Trans. Inf. Theory 67(9): 6266-6282 (2021) - [j34]Seyedehsara Nayer, Namrata Vaswani:
Sample-Efficient Low Rank Phase Retrieval. IEEE Trans. Inf. Theory 67(12): 8190-8206 (2021) - [c67]Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani:
Efficient and Robust Distributed Matrix Computations via Convolutional Coding. ISIT 2021: 1724-1729 - [c66]Seyedehsara Nayer, Namrata Vaswani:
Sample-Efficient Low Rank Phase Retrieval. ISIT 2021: 2244-2249 - [i43]Seyedehsara Nayer, Namrata Vaswani:
Fast and Sample-Efficient Federated Low Rank Matrix Recovery from Column-wise Linear and Quadratic Projections. CoRR abs/2102.10217 (2021) - [i42]Shana Moothedath, Namrata Vaswani:
Fully Decentralized and Federated Low Rank Compressive Sensing. CoRR abs/2112.13412 (2021) - 2020
- [j33]Praneeth Narayanamurthy, Namrata Vaswani:
Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise. IEEE J. Sel. Areas Inf. Theory 1(3): 723-744 (2020) - [j32]Namrata Vaswani:
Nonconvex Structured Phase Retrieval: A Focus on Provably Correct Approaches. IEEE Signal Process. Mag. 37(5): 67-77 (2020) - [j31]Gauri Jagatap, Zhengyu Chen, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani:
Sample Efficient Fourier Ptychography for Structured Data. IEEE Trans. Computational Imaging 6: 344-357 (2020) - [j30]Seyedehsara Nayer, Praneeth Narayanamurthy, Namrata Vaswani:
Provable Low Rank Phase Retrieval. IEEE Trans. Inf. Theory 66(9): 5875-5903 (2020) - [i41]Praneeth Narayanamurthy, Namrata Vaswani, Aditya Ramamoorthy:
Federated Over-the-Air Subspace Learning from Incomplete Data. CoRR abs/2002.12873 (2020) - [i40]Seyedehsara Nayer, Namrata Vaswani:
Sample-Efficient Low Rank Phase Retrieval. CoRR abs/2006.06198 (2020) - [i39]Namrata Vaswani, Praneeth Narayanamurthy:
Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise. CoRR abs/2006.08030 (2020) - [i38]Namrata Vaswani:
Non-Convex Structured Phase Retrieval. CoRR abs/2006.13298 (2020)
2010 – 2019
- 2019
- [j29]Praneeth Narayanamurthy, Namrata Vaswani:
Provable Dynamic Robust PCA or Robust Subspace Tracking. IEEE Trans. Inf. Theory 65(3): 1547-1577 (2019) - [j28]Praneeth Narayanamurthy, Vahid Daneshpajooh, Namrata Vaswani:
Provable Subspace Tracking From Missing Data and Matrix Completion. IEEE Trans. Signal Process. 67(16): 4245-4260 (2019) - [c65]Seyedehsara Nayer, Namrata Vaswani:
PhaST: Model-free Phaseless Subspace Tracking. ICASSP 2019: 3712-3716 - [c64]Praneeth Narayanamurthy, Vahid Daneshpajooh, Namrata Vaswani:
Provable Memory-efficient Online Robust Matrix Completion. ICASSP 2019: 7918-7922 - [c63]Seyedehsara Nayer, Praneeth Narayanamurthy, Namrata Vaswani:
Phaseless PCA: Low-Rank Matrix Recovery from Column-wise Phaseless Measurements. ICML 2019: 4762-4770 - [c62]Praneeth Narayanamurthy, Vahid Daneshpajooh, Namrata Vaswani:
Provable Subspace Tracking with Missing Entries. ISIT 2019: 1867-1871 - [i37]Seyedehsara Nayer, Praneeth Narayanamurthy, Namrata Vaswani:
Phaseless Low Rank Matrix Recovery and Subspace Tracking. CoRR abs/1902.04972 (2019) - [i36]Anindya Bijoy Das, Aditya Ramamoorthy, Namrata Vaswani:
Random Convolutional Coding for Robust and Straggler Resilient Distributed Matrix Computation. CoRR abs/1907.08064 (2019) - 2018
- [j27]Thierry Bouwmans, Namrata Vaswani, Paul Rodríguez, René Vidal, Zhouchen Lin:
Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications. IEEE J. Sel. Top. Signal Process. 12(6): 1127-1130 (2018) - [j26]Namrata Vaswani, Yuejie Chi, Thierry Bouwmans:
Rethinking PCA for Modern Data Sets: Theory, Algorithms, and Applications. Proc. IEEE 106(8): 1274-1276 (2018) - [j25]Namrata Vaswani, Praneeth Narayanamurthy:
Static and Dynamic Robust PCA and Matrix Completion: A Review. Proc. IEEE 106(8): 1359-1379 (2018) - [j24]Han Guo, Namrata Vaswani:
Video Denoising via Dynamic Video Layering. IEEE Signal Process. Lett. 25(7): 1009-1013 (2018) - [j23]Namrata Vaswani:
Women in Signal Processing Committee Highlights [Society News]. IEEE Signal Process. Mag. 35(3): 10 (2018) - [j22]Namrata Vaswani:
A Feature Article Cluster on Exploiting Structure in Data Analytics: Low-Rank and Sparse Structures [From the Guest Editor]. IEEE Signal Process. Mag. 35(4): 12-13 (2018) - [j21]Namrata Vaswani, Thierry Bouwmans, Sajid Javed, Praneeth Narayanamurthy:
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery. IEEE Signal Process. Mag. 35(4): 32-55 (2018) - [c61]Praneeth Narayanamurthy, Namrata Vaswani:
Nearly Optimal Robust Subspace Tracking: A Unified Approach. DSW 2018: 81-85 - [c60]Seyedehsara Nayer, Namrata Vaswani:
Phaseless Subspace Tracking. GlobalSIP 2018: 56-60 - [c59]Praneeth Narayanamurthy, Namrata Vaswani:
A Fast and Memory-Efficient Algorithm for Robust PCA (MEROP). ICASSP 2018: 4684-4688 - [c58]Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani:
Sub-Diffraction Imaging Using Fourier Ptychography and Structured Sparsity. ICASSP 2018: 6493-6497 - [c57]Zhengyu Chen, Gauri Jagatap, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani:
Low Rank Fourier Ptychography. ICASSP 2018: 6538-6542 - [c56]Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani:
Model Corrected Low Rank Ptychography. ICIP 2018: 3988-3992 - [c55]Praneeth Narayanamurthy, Namrata Vaswani:
Nearly Optimal Robust Subspace Tracking. ICML 2018: 3698-3706 - [c54]Praneeth Narayanamurthy, Namrata Vaswani:
Provable Dynamic Robust PCA or Robust Subspace Tracking. ISIT 2018: 376-380 - [c53]Namrata Vaswani, Praneeth Narayanamurthy:
PCA in Sparse Data-Dependent Noise. ISIT 2018: 641-645 - [c52]Sajid Javed, Praneeth Narayanamurthy, Thierry Bouwmans, Namrata Vaswani:
Robust PCA and Robust Subspace Tracking: A Comparative Evaluation. SSP 2018: 836-840 - [i35]Namrata Vaswani, Praneeth Narayanamurthy:
Static and Dynamic Robust PCA via Low-Rank + Sparse Matrix Decomposition: A Review. CoRR abs/1803.00651 (2018) - [i34]Seyedehsara Nayer, Namrata Vaswani:
Phaseless Subspace Tracking. CoRR abs/1809.04176 (2018) - [i33]Praneeth Narayanamurthy, Vahid Daneshpajooh, Namrata Vaswani:
Subspace Tracking from Missing and Outlier Corrupted Data. CoRR abs/1810.03051 (2018) - 2017
- [j20]Namrata Vaswani, Seyedehsara Nayer, Yonina C. Eldar:
Low-Rank Phase Retrieval. IEEE Trans. Signal Process. 65(15): 4059-4074 (2017) - [c51]Namrata Vaswani, Praneeth Narayanamurthy:
Finite sample guarantees for PCA in non-isotropic and data-dependent noise. Allerton 2017: 783-789 - [c50]Seyedehsara Nayer, Namrata Vaswani, Yonina C. Eldar:
Low rank phase retrieval. ICASSP 2017: 4446-4450 - [i32]Praneeth Narayanamurthy, Namrata Vaswani:
New Results for Provable Dynamic Robust PCA. CoRR abs/1705.08948 (2017) - [i31]Namrata Vaswani, Praneeth Narayanamurthy:
Finite Sample Guarantees for PCA in Non-Isotropic and Data-Dependent Noise. CoRR abs/1709.06255 (2017) - [i30]Han Guo, Namrata Vaswani:
Video Denoising and Enhancement via Dynamic Video Layering. CoRR abs/1710.02213 (2017) - [i29]Namrata Vaswani, Thierry Bouwmans, Sajid Javed, Praneeth Narayanamurthy:
Robust PCA and Robust Subspace Tracking. CoRR abs/1711.09492 (2017) - [i28]Praneeth Narayanamurthy, Namrata Vaswani:
MEDRoP: Memory-Efficient Dynamic Robust PCA. CoRR abs/1712.06061 (2017) - 2016
- [j19]Namrata Vaswani, Jinchun Zhan:
Recursive Recovery of Sparse Signal Sequences From Compressive Measurements: A Review. IEEE Trans. Signal Process. 64(13): 3523-3549 (2016) - [c49]Jinchun Zhan, Brian Lois, Han Guo, Namrata Vaswani:
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees. AISTATS 2016: 1488-1496 - [c48]Namrata Vaswani, Han Guo:
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated. NIPS 2016: 1768-1776 - [c47]Han Guo, Namrata Vaswani:
Video denoising via online sparse and low-rank matrix decomposition. SSP 2016: 1-5 - [c46]Seyedehsara Nayer, Namrata Vaswani, Yonina C. Eldar:
Low rank matrix recovery from column-wise phaseless measurements. SSP 2016: 1-5 - [i27]Jinchun Zhan, Brian Lois, Namrata Vaswani:
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees. CoRR abs/1601.07985 (2016) - [i26]Namrata Vaswani, Jinchun Zhan:
Recursive Recovery of Sparse Signal Sequences from Compressive Measurements: A Review. CoRR abs/1602.04518 (2016) - [i25]Namrata Vaswani, Seyedehsara Nayer, Yonina C. Eldar:
Low Rank Phase Retrieval. CoRR abs/1608.04141 (2016) - [i24]Namrata Vaswani, Han Guo:
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated. CoRR abs/1608.04320 (2016) - 2015
- [j18]Jinchun Zhan, Namrata Vaswani:
Time Invariant Error Bounds for Modified-CS-Based Sparse Signal Sequence Recovery. IEEE Trans. Inf. Theory 61(3): 1389-1409 (2015) - [j17]Jinchun Zhan, Namrata Vaswani:
Robust PCA With Partial Subspace Knowledge. IEEE Trans. Signal Process. 63(13): 3332-3347 (2015) - [c45]Brian Lois, Namrata Vaswani:
A correctness result for online robust PCA. ICASSP 2015: 3791-3795 - [c44]Brian Lois, Namrata Vaswani:
Online matrix completion and online robust PCA. ISIT 2015: 1826-1830 - [i23]Brian Lois, Namrata Vaswani:
Online Matrix Completion and Online Robust PCA. CoRR abs/1503.03525 (2015) - 2014
- [j16]Chenlu Qiu, Namrata Vaswani, Brian Lois, Leslie Hogben:
Recursive Robust PCA or Recursive Sparse Recovery in Large but Structured Noise. IEEE Trans. Inf. Theory 60(8): 5007-5039 (2014) - [j15]Han Guo, Chenlu Qiu, Namrata Vaswani:
An Online Algorithm for Separating Sparse and Low-Dimensional Signal Sequences From Their Sum. IEEE Trans. Signal Process. 62(16): 4284-4297 (2014) - [c43]Han Guo, Namrata Vaswani, Chenlu Qiu:
Practical ReProCS for separating sparse and low-dimensional signal sequences from their sum - Part 2. GlobalSIP 2014: 369-373 - [c42]Han Guo, Chenlu Qiu, Namrata Vaswani:
Practical ReProCS for separating sparse and low-dimensional signal sequences from their sum - Part 1. ICASSP 2014: 4161-4165 - [c41]Jinchun Zhan, Namrata Vaswani, Chenlu Qiu:
Performance guarantees for ReProCS - Correlated low-rank matrix entries case. ISIT 2014: 2187-2191 - [c40]Jinchun Zhan, Namrata Vaswani:
Robust PCA with partial subspace knowledge. ISIT 2014: 2192-2196 - [i22]Jinchun Zhan, Namrata Vaswani:
Robust PCA with Partial Subspace Knowledge. CoRR abs/1403.1591 (2014) - [i21]Jinchun Zhan, Namrata Vaswani, Chenlu Qiu:
Performance Guarantees for ReProCS - Correlated Low-Rank Matrix Entries Case. CoRR abs/1405.5887 (2014) - [i20]Brian Lois, Namrata Vaswani:
A Correctness Result for Online Robust PCA. CoRR abs/1409.3959 (2014) - 2013
- [c39]Brian Lois, Namrata Vaswani, Chenlu Qiu:
Performance guarantees for undersampled recursive sparse recovery in large but structured noise. GlobalSIP 2013: 1061-1064 - [c38]Jinchun Zhan, Namrata Vaswani, Ian C. Atkinson:
Separating sparse and low-dimensional signal sequences from time-varying undersampled projections of their sums. ICASSP 2013: 5905-5909 - [c37]Chenlu Qiu, Namrata Vaswani, Leslie Hogben:
Recursive robust PCA or recursive sparse recovery in large but structured noise. ICASSP 2013: 5954-5958 - [c36]Rituparna Sarkar, Samarjit Das, Namrata Vaswani:
Tracking sparse signal sequences from nonlinear/non-Gaussian measurements and applications in illumination-motion tracking. ICASSP 2013: 6615-6619 - [c35]Jinchun Zhan, Namrata Vaswani:
Time invariant error bounds for modified-CS based sparse signal sequence recovery. ISIT 2013: 286-290 - [c34]Chenlu Qiu, Namrata Vaswani:
Recursive sparse recovery in large but structured noise - Part 2. ISIT 2013: 864-868 - [i19]Rituparna Sarkar, Samarjit Das, Namrata Vaswani:
PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change. CoRR abs/1301.1374 (2013) - [i18]Chenlu Qiu, Namrata Vaswani:
Recursive Sparse Recovery in Large but Structured Noise - Part 2. CoRR abs/1303.1144 (2013) - [i17]Jinchun Zhan, Namrata Vaswani:
Time Invariant Error Bounds for Modified-CS based Sparse Signal Sequence Recovery. CoRR abs/1305.0842 (2013) - [i16]Han Guo, Chenlu Qiu, Namrata Vaswani:
Practical ReProCS for Separating Sparse and Low-dimensional Signal Sequences from their Sum. CoRR abs/1310.4261 (2013) - 2012
- [j14]Samarjit Das, Amit A. Kale, Namrata Vaswani:
Particle Filter With a Mode Tracker for Visual Tracking Across Illumination Changes. IEEE Trans. Image Process. 21(4): 2340-2346 (2012) - [j13]Wei Lu, Namrata Vaswani:
Regularized Modified BPDN for Noisy Sparse Reconstruction With Partial Erroneous Support and Signal Value Knowledge. IEEE Trans. Signal Process. 60(1): 182-196 (2012) - [j12]Wei Lu, Namrata Vaswani:
Exact Reconstruction Conditions for Regularized Modified Basis Pursuit. IEEE Trans. Signal Process. 60(5): 2634-2640 (2012) - [i15]Chenlu Qiu, Namrata Vaswani, Leslie Hogben:
Recursive Robust PCA or Recursive Sparse Recovery in Large but Structured Noise. CoRR abs/1211.3754 (2012) - 2011
- [c33]Chenlu Qiu, Namrata Vaswani:
Recursive sparse recovery in large but correlated noise. Allerton 2011: 752-759 - [c32]Fardad Raisali, Namrata Vaswani:
Stability (over time) of Regularized modified CS(noisy) for recursive causal sparse reconstruction. CISS 2011: 1-6 - [c31]Wei Lu, Taoran Li, Ian C. Atkinson, Namrata Vaswani:
Modified-CS-residual for recursive reconstruction of highly undersampled functional MRI sequences. ICIP 2011: 2689-2692 - [c30]Chenlu Qiu, Namrata Vaswani:
Support-Predicted Modified-CS for recursive robust principal components' Pursuit. ISIT 2011: 668-672 - [i14]Chenlu Qiu, Namrata Vaswani:
Support-Predicted Modified-CS for Recursive Robust Principal Components' Pursuit. CoRR abs/1102.5559 (2011) - [i13]