Jarvis D. Haupt

发表

Sequentially designed compressed sensing

Robert D. Nowak, Richard G. Baraniuk, Jarvis D. Haupt, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Target-based hyperspectral demixing via generalized robust PCA

Jarvis D. Haupt, Sirisha Rambhatla, Xingguo Li, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

NOODL: Provable Online Dictionary Learning and Sparse Coding pdf

Jarvis D. Haupt, Sirisha Rambhatla, Xingguo Li, 2019, ICLR.

Robert D. Nowak, Jarvis D. Haupt, Rui M. Castro, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Noisy tensor completion for tensors with a sparse canonical polyadic factor

Jarvis D. Haupt, Swayambhoo Jain, Alexander Gutierrez, 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

On the Restricted Isometry of deterministically subsampled Fourier matrices

Robert D. Nowak, Jarvis D. Haupt, Lorne Applebaum, 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).

Joint Source–Channel Communication for Distributed Estimation in Sensor Networks

Robert D. Nowak, Akbar M. Sayeed, Waheed Uz Zaman Bajwa, 2007, IEEE Transactions on Information Theory.

Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels

Robert D. Nowak, Akbar M. Sayeed, Waheed Uz Zaman Bajwa, 2010, Proceedings of the IEEE.

On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization pdf

Lin F. Yang, Tuo Zhao, Jarvis D. Haupt, 2018, ArXiv.

Semi-blind source separation via sparse representations and online dictionary learning

Jarvis D. Haupt, Sirisha Rambhatla, J. Haupt, 2012, 2013 Asilomar Conference on Signals, Systems and Computers.

Error bounds for maximum likelihood matrix completion under sparse factor models

Jarvis D. Haupt, Swayambhoo Jain, Akshay Soni, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

PROVABLY COMMUNICATION-EFFICIENT ASYNCHRONOUS DISTRIBUTED INFERENCE FOR CONVEX AND NONCONVEX PROBLEMS

Jarvis D. Haupt, Jineng Ren, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation

Robert D. Nowak, Waheed Uz Zaman Bajwa, Jarvis D. Haupt, 2010, IEEE Transactions on Information Theory.

TensorMap: LIDAR-BASED TOPOLOGICAL MAPPING AND LOCALIZATION VIA TENSOR DECOMPOSITIONS

Nikos D. Sidiropoulos, Jarvis D. Haupt, Sirisha Rambhatla, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Compressed channel sensing

Robert D. Nowak, Waheed Uz Zaman Bajwa, Jarvis D. Haupt, 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

A Compressed Sensing Based Decomposition of Electrodermal Activity Signals

Jarvis D. Haupt, Brian Eriksson, Swayambhoo Jain, 2016, IEEE Transactions on Biomedical Engineering.

On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning pdf

Tong Zhang, Lin F. Yang, Tuo Zhao, 2017, NIPS.

On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning

Tong Zhang, Lin Yang, Lin F. Yang, 2017, NIPS.

Robust support recovery using sparse compressive sensing matrices

Richard G. Baraniuk, Jarvis D. Haupt, Richard Baraniuk, 2011, 2011 45th Annual Conference on Information Sciences and Systems.

Compressive distilled sensing: Sparse recovery using adaptivity in compressive measurements

Robert D. Nowak, Richard G. Baraniuk, Jarvis D. Haupt, 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

ZEROTH-ORDER STOCHASTIC PROJECTED GRADIENT DESCENT FOR NONCONVEX OPTIMIZATION

Jarvis D. Haupt, Lisa Amini, Sijia Liu, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Communication-Efficient distributed optimization for sparse learning via two-way truncation

Jarvis D. Haupt, Xingguo Li, Jineng Ren, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Distilled sensing: selective sampling for sparse signal recovery

Robert D. Nowak, Jarvis D. Haupt, Rui M. Castro, 2009, AISTATS.

Anomaly-sensitive dictionary learning for structural diagnostics from ultrasonic wavefields

Jarvis D. Haupt, Stefano Gonella, Jeffrey M. Druce, 2015, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring pdf

Jarvis D. Haupt, Swayambhoo Jain, Stefano Gonella, 2017, ArXiv.

Sparse dictionary learning from 1-BIT data

Nikos D. Sidiropoulos, Georgios B. Giannakis, Jarvis D. Haupt, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Session MP4a: Compressive sensing applications in networking

Jarvis D. Haupt, 2011, ACSCC.

Noisy Matrix Completion Under Sparse Factor Models

Jarvis D. Haupt, Swayambhoo Jain, Akshay Soni, 2014, IEEE Transactions on Information Theory.

On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond pdf

Junwei Lu, Zhaoran Wang, Tuo Zhao, 2018, ArXiv.

Minimax Lower Bounds for Noisy Matrix Completion Under Sparse Factor Models

Jarvis D. Haupt, Abhinav V. Sambasivan, 2015, IEEE Transactions on Information Theory.

Active learning of self-concordant like multi-index functions

Volkan Cevher, Jarvis D. Haupt, Jonathan Scarlett, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Level set estimation from compressive measurements using box constrained total variation regularization

Jarvis D. Haupt, Akshay Soni, 2012, 2012 19th IEEE International Conference on Image Processing.

On the Fundamental Limits of Recovering Tree Sparse Vectors From Noisy Linear Measurements

Jarvis D. Haupt, Akshay Soni, J. Haupt, 2013, IEEE Transactions on Information Theory.

A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties pdf

Jarvis D. Haupt, Sirisha Rambhatla, Xingguo Li, 2019, ArXiv.

Convolutional approximations to linear dimensionality reduction operators

Jarvis D. Haupt, Swayambhoo Jain, J. Haupt, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning sparse representations for adaptive compressive sensing

Jarvis D. Haupt, Akshay Soni, J. Haupt, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling

Jarvis D. Haupt, Xingguo Li, Xingguo Li, 2014, IEEE Transactions on Signal Processing.

Robust Low-Complexity methods for matrix column outlier identification

Jarvis D. Haupt, Xingguo Li, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Compressive Sampling for Signal Detection

Robert D. Nowak, Jarvis D. Haupt, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Group-level support recovery guarantees for group lasso estimator

Jarvis D. Haupt, Swayambhoo Jain, Stefano Gonella, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Provably Communication-Efficient Asynchronous Distributed Inference Method for Convex and Nonconvex Problems

Jarvis D. Haupt, Jineng Ren, 2020, IEEE Transactions on Signal Processing.

Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation

Robert D. Nowak, Jarvis D. Haupt, Rui M. Castro, 2010, IEEE Transactions on Information Theory.

Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization pdf

Junwei Lu, Zhaoran Wang, Tuo Zhao, 2016, ArXiv.

Anomaly-Sensitive Dictionary Learning for Unsupervised Diagnostics of Solid Media pdf

Jarvis D. Haupt, Stefano Gonella, Jeffrey M. Druce, 2014, ArXiv.

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning pdf

Tuo Zhao, Raman Arora, Jarvis D. Haupt, 2016, ICML.

Symmetry. Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization

Junwei Lu, Zhaoran Wang, Tuo Zhao, 2016, 2018 Information Theory and Applications Workshop (ITA).

A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging

Jarvis D. Haupt, Sirisha Rambhatla, Xingguo Li, 2019, IEEE Transactions on Signal Processing.

Locating salient items in large data collections with compressive linear measurements

Jarvis D. Haupt, J. Haupt, 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach

Jarvis D. Haupt, Swayambhoo Jain, Akshay Soni, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Fundamental limits for support recovery of tree-sparse signals from noisy compressive samples

Jarvis D. Haupt, Akshay Soni, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices pdf

Jarvis D. Haupt, Xingguo Li, Xingguo Li, 2016, ArXiv.

Session TA8b3: Adaptive sensing

Jarvis D. Haupt, 2011, ACSCC.

Efficient adaptive compressive sensing using sparse hierarchical learned dictionaries

Jarvis D. Haupt, Akshay Soni, J. Haupt, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

FAST ASYNCHRONOUS DECENTRALIZED OPTIMIZATION: ALLOWING MULTIPLE MASTERS

Georgios B. Giannakis, Jarvis D. Haupt, Meng Ma, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Compressive wireless sensing

Robert D. Nowak, Akbar M. Sayeed, Waheed Uz Zaman Bajwa, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

Compressive Sampling Vs. Conventional Imaging

Robert D. Nowak, Jarvis D. Haupt, 2006, 2006 International Conference on Image Processing.

Computer Graphics meets Estimation Theory: Parameter Estimation Lower Bounds for Plenoptic Imaging Systems

Jarvis D. Haupt, Abhinav V. Sambasivan, Richard G. Paxman, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

A refined analysis for the sample complexity of adaptive compressive outlier sensing

Jarvis D. Haupt, Xingguo Li, Xingguo Li, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Estimation error guarantees for Poisson denoising with sparse and structured dictionary models

Jarvis D. Haupt, Akshay Soni, J. Haupt, 2014, 2014 IEEE International Symposium on Information Theory.

Robust PCA via tensor outlier pursuit

Jarvis D. Haupt, Xingguo Li, Jineng Ren, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Decentralized compression and predistribution via randomized gossiping

Robert D. Nowak, Aarti Singh, Michael G. Rabbat, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

Recycled linear classifiers for multiclass classification

Fatih Murat Porikli, Jarvis D. Haupt, Akshay Soni, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Locating rare and weak material anomalies by convex demixing of propagating wavefields

Jarvis D. Haupt, Swayambhoo Jain, Mojtaba Kadkhodaie, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Signal Reconstruction From Noisy Random Projections

Robert D. Nowak, Jarvis D. Haupt, J. Haupt, 2006, IEEE Transactions on Information Theory.

Automated defect localization via low rank plus outlier modeling of propagating wavefield data

Jarvis D. Haupt, Stefano Gonella, J. Haupt, 2013, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

A First Order Free Lunch for SQRT-Lasso pdf

Tuo Zhao, Mingyi Hong, Raman Arora, 2016, ArXiv.

Robust PCA via Dictionary Based Outlier Pursuit

Yangyang Xu, Jarvis D. Haupt, Sirisha Rambhatla, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improved bounds for sparse recovery from adaptive measurements

Robert D. Nowak, Jarvis D. Haupt, Rui M. Castro, 2010, 2010 IEEE International Symposium on Information Theory.

A Universal Matched Source-Channel Communication Scheme for Wireless Sensor Ensembles

Robert D. Nowak, Akbar M. Sayeed, Waheed Uz Zaman Bajwa, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Near Optimal Sketching of Low-Rank Tensor Regression

David P. Woodruff, Jarvis D. Haupt, Xingguo Li, 2017, NIPS.

On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function

Tuo Zhao, Mingyi Hong, Raman Arora, 2016, UAI.

Adaptive sensing for sparse recovery

Robert D. Nowak, Jarvis D. Haupt, J. Haupt, 2012, Compressed Sensing.

Outlier identification via randomized adaptive compressive sampling

Jarvis D. Haupt, Xingguo Li, Xingguo Li, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation pdf

Jarvis D. Haupt, Jineng Ren, 2017, ArXiv.

Compressed Sensing Vs. Active Learning

Robert D. Nowak, Jarvis D. Haupt, Rui M. Castro, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Compressed sensing in noisy imaging environments

Robert D. Nowak, Jarvis D. Haupt, Rui M. Castro, 2006, Electronic Imaging.

A dictionary based generalization of robust PCA

Jarvis D. Haupt, Sirisha Rambhatla, Xingguo Li, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Communication-efficient hierarchical distributed optimization for multi-agent policy evaluation

Jarvis D. Haupt, Zehua Guo, Jineng Ren, 2021, J. Comput. Sci..

Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction

Jarvis D. Haupt, Han Liu, Xingguo Li, 2016 .

Locating salient group-structured image features via adaptive compressive sensing

Jarvis D. Haupt, Xingguo Li, Jarvis Haupt, 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning pdf

Jarvis D. Haupt, Sirisha Rambhatla, Xingguo Li, 2020, NeurIPS.

A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties

Jarvis D. Haupt, Xingguo Li, J. Haupt, 2019, ArXiv.

Decentralized compression and predistribution via randomized gossiping

M. Rabbat, J. Haupt, A. Singh, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

A Nyquist folding analog-to-information receiver

J. Haupt, Jarvis D. Haupt, P. E. Pace, 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.