J. Haupt

发表

Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction

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

Toeplitz-Structured Compressed Sensing Matrices

Stephen J. Wright, J. Haupt, W. Bajwa, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

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).

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning pdf

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

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.

Signal Reconstruction From Noisy Random Projections

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

Compressive Sampling for Signal Classification

J. Haupt, R. Nowak, R. Castro, 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

Sequentially designed compressed sensing

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

Compressed Sensing for Networked Data

R. Nowak, W.U. Bajwa, J. Haupt, 2008, IEEE Signal Processing Magazine.

A Generalized Restricted Isometry Property

J. Haupt, R. Nowak, 2008 .

A Communication Efficient Hierarchical Distributed Optimization Algorithm for Multi-Agent Reinforcement Learning

J. Haupt, Jineng Ren, 2019 .

NOODL: PROVABLE ONLINE DICTIONARY LEARNING

Xingguo Li, J. Haupt, Sirisha Rambhatla, 2019 .

An Efficient Dictionary Based Robust PCA via Sketching

Xingguo Li, J. Haupt, Jineng Ren, 2017 .

Robust Outlier Identification for Noisy Data via Randomized Adaptive Compressive Sampling

Xingguo Li, J. Haupt, 2017 .

On Convolutional Approximations to Linear Dimensionality Reduction Operators for Large Scale Data Processing

Swayambhoo Jain, Jarvis Haupt, J. Haupt, 2015, 1502.07017.

KNOWLEDGE-ENHANCED COMPRESSIVE MEASUREMENT DESIGNS FOR ESTIMATING SPARSE SIGNALS IN CLUTTER

J. Haupt, Swayambhoo Jain, Akshay Soni, 2013 .

Accelerated imaging with segmented 2D pulses using parallel imaging and virtual coils.

J. Haupt, M. Garwood, N. Kobayashi, 2019, Journal of magnetic resonance (San Diego, Calif. 1997 : Print).

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.

Compressive wireless sensing

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

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 With Applications to Target Localization in Hyperspectral Imaging

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

NOODL: Provable Online Dictionary Learning and Sparse Coding pdf

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

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.

Noisy Matrix Completion Under Sparse Factor Models

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

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.

Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling

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

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.

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

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

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).

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.

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).

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).

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

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

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

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

Robust PCA via tensor outlier pursuit

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

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.

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.

Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation

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

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.

Distilled sensing: selective sampling for sparse signal recovery

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

NEW THEORY AND METHODS IN ADAPTIVE AND COMPRESSIVE SAMPLING FOR SPARSE DISCOVERY

Jarvis Haupt, J. Haupt, 2009 .

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.

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

Xingguo Li, J. Haupt, Sirisha Rambhatla, 2019, ArXiv.

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).

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).

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.

Adaptive sensing for sparse recovery

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

Compressive wireless sensing

J. Haupt, R. Nowak, A. Sayeed, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

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).

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).

A Nyquist folding analog-to-information receiver

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

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.

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

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

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).

A Compressed Sensing Based Decomposition of Electrodermal Activity Signals

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

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).

On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition

Lin F. Yang, Xingguo Li, Jarvis Haupt, 2019, AISTATS.

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

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

Online Generalized Eigenvalue Decomposition: Primal Dual Geometry and Inverse-Free Stochastic Optimization

T. Zhao, Xingguo Li, J. Haupt, 2017 .

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).

Locating material defects via wavefield demixing with morphologically germane dictionaries

Swayambhoo Jain, Mojtaba Kadkhodaie, Jeff Druce, 2017 .

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

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

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).

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).

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.

Compressed channel sensing

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

Convexifying Sparse Interpolation With Infinitely Wide Neural Networks: An Atomic Norm Approach

J. Haupt, Akshay Kumar, 2020, IEEE Signal Processing Letters.

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.

Sketching Dictionary Based Robust PCA in Large Matrices

Jarvis Haupt, Xingguo Li, Xingguo Li, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

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).

Near Optimal Sketching of Low-Rank Tensor Regression

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

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).

Decentralized compression and predistribution via randomized gossiping

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

Anomaly detection in heterogeneous media via saliency analysis of propagating wavefields

Stefano Gonella, Jarvis Haupt, Jeffrey M. Druce, 2014, Smart Structures.

Online Stochastic Gradient Descent Learns Linear Dynamical Systems from A Single Trajectory pdf

Jarvis Haupt, Navid Reyhanian, J. Haupt, 2021, ArXiv.