Jarvis D. Haupt

Orcid: 0000-0002-1570-7071

Affiliations:
  • University of Minnesota - Twin Cities, Department of Electrical and Computer Engineering


According to our database1, Jarvis D. Haupt authored at least 88 papers between 2006 and 2024.

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Bibliography

2024
Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks.
Trans. Mach. Learn. Res., 2024

Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations.
CoRR, 2024

2021
Reducing the Complexity of Model-Based MRI Reconstructions via Sparsification.
IEEE Trans. Medical Imaging, 2021

Communication-efficient hierarchical distributed optimization for multi-agent policy evaluation.
J. Comput. Sci., 2021

2020
A Provably Communication-Efficient Asynchronous Distributed Inference Method for Convex and Nonconvex Problems.
IEEE Trans. Signal Process., 2020

A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging.
IEEE Trans. Signal Process., 2020

Convexifying Sparse Interpolation With Infinitely Wide Neural Networks: An Atomic Norm Approach.
IEEE Signal Process. Lett., 2020

Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization.
IEEE Trans. Inf. Theory, 2019

A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing.
CoRR, 2019

A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties.
CoRR, 2019

On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

NOODL: Provable Online Dictionary Learning and Sparse Coding.
Proceedings of the 7th International Conference on Learning Representations, 2019

On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Computer Graphics meets Estimation Theory: Parameter Estimation Lower Bounds for Plenoptic Imaging Systems.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Sketching Dictionary Based Robust PCA in Large Matrices.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Minimax Lower Bounds for Noisy Matrix Completion Under Sparse Factor Models.
IEEE Trans. Inf. Theory, 2018

On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond.
CoRR, 2018

On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization.
CoRR, 2018

Robust PCA via Dictionary Based Outlier Pursuit.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Provably Communication-Efficient Asynchronous Distributed Inference for Convex and Nonconvex Problems.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

TensorMap: LIDAR-Based Topological Mapping and Localization via Tensor Decompositions.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Fast Asynchronous Decentralized Optimization: Allowing Multiple Masters.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Zeroth-Order Stochastic Projected Gradient Descent for Nonconvex Optimization.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals.
IEEE Trans. Biomed. Eng., 2017

Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation.
CoRR, 2017

Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring.
CoRR, 2017

On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions.
CoRR, 2017

On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Near Optimal Sketching of Low-Rank Tensor Regression.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Noisy tensor completion for tensors with a sparse canonical polyadic factor.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Convolutional approximations to linear dimensionality reduction operators.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Group-level support recovery guarantees for group lasso estimator.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Communication-Efficient distributed optimization for sparse learning via two-way truncation.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Robust Low-Complexity methods for matrix column outlier identification.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Target-based hyperspectral demixing via generalized robust PCA.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Noisy Matrix Completion Under Sparse Factor Models.
IEEE Trans. Inf. Theory, 2016

Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization.
CoRR, 2016

A First Order Free Lunch for SQRT-Lasso.
CoRR, 2016

Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices.
CoRR, 2016

A refined analysis for the sample complexity of adaptive compressive outlier sensing.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016

A dictionary based generalization of robust PCA.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Robust PCA via tensor outlier pursuit.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling.
IEEE Trans. Signal Process., 2015

Outlier identification via randomized adaptive compressive sampling.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Active learning of self-concordant like multi-index functions.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Locating salient group-structured image features via adaptive compressive sensing.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Locating rare and weak material anomalies by convex demixing of propagating wavefields.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
On the Fundamental Limits of Recovering Tree Sparse Vectors From Noisy Linear Measurements.
IEEE Trans. Inf. Theory, 2014

Anomaly-Sensitive Dictionary Learning for Unsupervised Diagnostics of Solid Media.
CoRR, 2014

Estimation error guarantees for Poisson denoising with sparse and structured dictionary models.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Recycled linear classifiers for multiclass classification.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sparse dictionary learning from 1-BIT data.
Proceedings of the IEEE International Conference on Acoustics, 2014

Error bounds for maximum likelihood matrix completion under sparse factor models.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Automated Defect Localization via Low Rank Plus Outlier Modeling of Propagating Wavefield Data.
CoRR, 2013

Fundamental limits for support recovery of tree-sparse signals from noisy compressive samples.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Locating salient items in large data collections with compressive linear measurements.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Semi-blind source separation via sparse representations and online dictionary learning.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Sequentially designed compressed sensing.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Level set estimation from compressive measurements using box constrained total variation regularization.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Learning sparse representations for adaptive compressive sensing.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Adaptive sensing for sparse recovery.
Proceedings of the Compressed Sensing, 2012

2011
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation.
IEEE Trans. Inf. Theory, 2011

Deterministic pilot sequences for sparse channel estimation in OFDM systems.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Robust support recovery using sparse compressive sensing matrices.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Efficient adaptive compressive sensing using sparse hierarchical learned dictionaries.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Session TA8b3: Adaptive sensing.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Session MP4a: Compressive sensing applications in networking.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation.
IEEE Trans. Inf. Theory, 2010

Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels.
Proc. IEEE, 2010

Improved bounds for sparse recovery from adaptive measurements.
Proceedings of the IEEE International Symposium on Information Theory, 2010

On the Restricted Isometry of deterministically subsampled Fourier matrices.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

2009
Distilled sensing: selective sampling for sparse signal recovery.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2008
Compressed Sensing for Networked Data.
IEEE Signal Process. Mag., 2008

Finding needles in noisy haystacks.
Proceedings of the IEEE International Conference on Acoustics, 2008

Compressed channel sensing.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Adaptive discovery of sparse signals in noise.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Joint Source-Channel Communication for Distributed Estimation in Sensor Networks.
IEEE Trans. Inf. Theory, 2007

Compressive Sampling for Signal Detection.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Signal Reconstruction From Noisy Random Projections.
IEEE Trans. Inf. Theory, 2006

Decentralized compression and predistribution via randomized gossiping.
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Compressive wireless sensing.
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Compressive Sampling Vs. Conventional Imaging.
Proceedings of the International Conference on Image Processing, 2006

Compressed Sensing Vs. Active Learning.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Universal Matched Source-Channel Communication Scheme for Wireless Sensor Ensembles.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Compressed sensing in noisy imaging environments.
Proceedings of the Computational Imaging IV, San Jose, 2006


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