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Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation


Mar 11, 2021
Bingqing Xiang, Arpita Gang, Waheed U. Bajwa

* 15 pages; 14 figures; 8 tables; preprint of a journal paper 

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Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm


Jan 07, 2021
Rishabh Dixit, Waheed U. Bajwa

* 49 pages; 10 figures; preprint of a journal paper 

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A Linearly Convergent Algorithm for Distributed Principal Component Analysis


Jan 05, 2021
Arpita Gang, Waheed U. Bajwa

* 30 pages; 15 figures; preprint of a journal paper 

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Exit Time Analysis for Approximations of Gradient Descent Trajectories Around Saddle Points


Jun 01, 2020
Rishabh Dixit, Waheed U. Bajwa

* 32 pages; preprint of a paper under review 

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Scaling-up Distributed Processing of Data Streams for Machine Learning


May 18, 2020
Matthew Nokleby, Haroon Raja, Waheed U. Bajwa

* Preprint of a journal paper; 45 pages, 9 figures 

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Learning Product Graphs Underlying Smooth Graph Signals


Feb 26, 2020
Muhammad Asad Lodhi, Waheed U. Bajwa

* 14 pages, 5 figures, and 2 tables; preprint of a journal submission 

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Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis


Jan 04, 2020
Haroon Raja, Waheed U. Bajwa

* 37 pages, 11 figures; preprint of a journal submission 

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Tensor Regression Using Low-rank and Sparse Tucker Decompositions


Nov 09, 2019
Talal Ahmed, Haroon Raja, Waheed U. Bajwa

* 26 pages, 3 figures, 1 table; preprint of a journal article 

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Adversary-resilient Inference and Machine Learning: From Distributed to Decentralized


Aug 23, 2019
Zhixiong Yang, Arpita Gang, Waheed U. Bajwa

* 20 pages, 6 figures, 2 tables; currently in review for journal publication 

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BRIDGE: Byzantine-resilient Decentralized Gradient Descent


Aug 21, 2019
Zhixiong Yang, Waheed U. Bajwa

* 18 pages, 1 figure, 1 table; preprint of a conference paper 

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Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT


Aug 01, 2019
Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam


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Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms


Mar 22, 2019
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

* 17 pages, 5 figures, 2 tables; in review for journal publication 

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ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning


Sep 25, 2018
Zhixiong Yang, Waheed U. Bajwa

* 14 pages, 4 figures; revised version with considerable changes to some of the proofs; arXiv preprint of a journal submission 

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Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks


Aug 06, 2018
Matthew Nokleby, Waheed U. Bajwa

* 16 pages, 6 figures; Accepted for publication in IEEE Transactions on Signal and Information Processing over Networks 

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Identifiability of Kronecker-structured Dictionaries for Tensor Data


May 25, 2018
Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

* IEEE J. Sel. Topics Signal Processing, vol. 12, no. 5, pp. 1047-1062, Oct. 2018 
* 16 pages, to appear in IEEE Journal of Special Topics in Signal Processing 

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STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery


Nov 13, 2017
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa


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ExSIS: Extended Sure Independence Screening for Ultrahigh-dimensional Linear Models


Aug 21, 2017
Talal Ahmed, Waheed U. Bajwa

* 22 pages (single-column version); 10 figures; submitted for journal publication 

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Human Action Attribute Learning From Video Data Using Low-Rank Representations


Dec 23, 2016
Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa

* Submitted for journal publication 

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Minimax Lower Bounds for Kronecker-Structured Dictionary Learning


May 17, 2016
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate

* Proc. IEEE Intl. Symp. Information Theory, Barcelona, Spain, Jul. 10-15, 2016, pp. 1148-1152 
* 5 pages, 1 figure. To appear in 2016 IEEE International Symposium on Information Theory 

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Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data


Aug 17, 2015
Haroon Raja, Waheed U. Bajwa

* IEEE Trans. Signal Processing, vol. 64, no. 1, pp. 173-188, Jan. 2016 
* Accepted for Publication in IEEE Trans. Signal Processing (2015); 16 pages, 3 figures 

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Learning the nonlinear geometry of high-dimensional data: Models and algorithms


Aug 10, 2015
Tong Wu, Waheed U. Bajwa

* IEEE Trans. Signal Processing, vol. 63, no. 23, pp. 6229-6244, Dec. 2015 
* Extended version of the journal paper accepted for publication in IEEE Trans. Signal Processing (20 pages, 7 figures, 4 tables) 

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Group Model Selection Using Marginal Correlations: The Good, the Bad and the Ugly


Oct 08, 2012
Waheed U. Bajwa, Dustin G. Mixon

* Proc. 50th Annu. Allerton Conf. Communication, Control, and Computing, Monticello, IL, Oct. 1-5, 2012, pp. 494-501 
* Accepted for publication in Proc. 50th Annu. Allerton Conf. Communication, Control, and Computing, Monticello, IL, Oct. 1-5, 2012; 8 pages and 4 figures 

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Why Gabor Frames? Two Fundamental Measures of Coherence and Their Role in Model Selection


Jul 02, 2010
Waheed U. Bajwa, Robert Calderbank, Sina Jafarpour

* J. Commun. Netw., vol. 12, no. 4, pp. 289-307, Aug. 2010 
* 31 pages, 4 figures; This paper is a full-length journal version of a shorter paper that was presented at the IEEE International Symposium on Information Theory, Austin, TX, June 2010 

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