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Thomson's Multitaper Method Revisited


Mar 22, 2021
Santhosh Karnik, Justin Romberg, Mark A. Davenport

* 39 pages, 7 figures 

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Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm


Jan 26, 2021
Sajad Khodadadian, Thinh T. Doan, Siva Theja Maguluri, Justin Romberg

* 34 pages, 6 figures 

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Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning


Oct 28, 2020
Sihan Zeng, Thinh T. Doan, Justin Romberg


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Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification


Jun 17, 2020
Rakshith S Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun

* Submitted to NeurIPS 2020 

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Sample complexity and effective dimension for regression on manifolds


Jun 16, 2020
Andrew McRae, Justin Romberg, Mark Davenport


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A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning


Jun 08, 2020
Sihan Zeng, Aqeel Anwar, Thinh Doan, Justin Romberg, Arijit Raychowdhury


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Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness


Apr 01, 2020
Thinh T. Doan, Lam M. Nguyen, Nhan H. Pham, Justin Romberg


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Localized sketching for matrix multiplication and ridge regression


Mar 20, 2020
Rakshith S Srinivasa, Mark A Davenport, Justin Romberg

* Accepted to AISTATS 2020 

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Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices


Nov 09, 2019
Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg, Arijit Raychowdhury


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A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors


Sep 13, 2019
Pietro Pierpaoli, Thinh T. Doan, Justin Romberg, Magnus Egerstedt

* 6 pages 

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Convex Programming for Estimation in Nonlinear Recurrent Models


Aug 26, 2019
Sohail Bahmani, Justin Romberg

* 18 pages 

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Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation


Jul 25, 2019
Thinh T. Doan, Siva Theja Maguluri, Justin Romberg

* arXiv admin note: text overlap with arXiv:1902.07393 

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Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables


Feb 22, 2019
Shaojie Xu, Sihan Zeng, Justin Romberg


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Appearance-based Gesture recognition in the compressed domain


Feb 19, 2019
Shaojie Xu, Anvesha Amaravati, Justin Romberg, Arijit Raychowdhury

* 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, 2017, pp. 1722-1726 
* arXiv admin note: text overlap with arXiv:1605.08313 

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Solving Equations of Random Convex Functions via Anchored Regression


Aug 13, 2018
Sohail Bahmani, Justin Romberg


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Fast Convex Pruning of Deep Neural Networks


Jun 17, 2018
Alireza Aghasi, Afshin Abdi, Justin Romberg


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Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee


Nov 23, 2017
Alireza Aghasi, Afshin Abdi, Nam Nguyen, Justin Romberg


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Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation


Mar 16, 2017
Sohail Bahmani, Justin Romberg

* Accepted in AISTATS 2017. Extended the discussion of related work and added a few more references. Clarified some of the statements and notations 

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A Light-powered, Always-On, Smart Camera with Compressed Domain Gesture Detection


Aug 16, 2016
Anvesha A, Shaojie Xu, Ningyuan Cao, Justin Romberg, Arijit Raychowdhury


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Learning Shapes by Convex Composition


Jul 04, 2016
Alireza Aghasi, Justin Romberg


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Sweep Distortion Removal from THz Images via Blind Demodulation


Mar 29, 2016
Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez, Justin Romberg, Ramesh Raskar


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Sparse Recovery of Streaming Signals Using L1-Homotopy


Jun 14, 2013
M. Salman Asif, Justin Romberg


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Sparse Shape Reconstruction


Feb 28, 2013
Alireza Aghasi, Justin Romberg


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Fast and Accurate Algorithms for Re-Weighted L1-Norm Minimization


Aug 03, 2012
M. Salman Asif, Justin Romberg

* Submitted to IEEE Trans. Signal Process 

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