Jarvis D. Haupt

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 56

Top Venues

CoRR

GlobalSIP

ICASSP

IEEE Trans. Inf. Theory

Publications

Akshay Kumar, Jarvis D. Haupt
Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations. CoRR (2024)
Akshay Kumar, Jarvis D. Haupt
Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Akshay Kumar, Jarvis D. Haupt
Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks. CoRR (2024)
Alex Gutierrez, Michael Mullen, Di Xiao, Albert Jang, Taylor Froelich, Michael Garwood, Jarvis D. Haupt
Reducing the Complexity of Model-Based MRI Reconstructions via Sparsification. IEEE Trans. Medical Imaging 40 (9) (2021)
Jineng Ren, Jarvis D. Haupt, Zehua Guo
Communication-efficient hierarchical distributed optimization for multi-agent policy evaluation. J. Comput. Sci. 49 (2021)
Akshay Kumar, Jarvis D. Haupt
Convexifying Sparse Interpolation With Infinitely Wide Neural Networks: An Atomic Norm Approach. IEEE Signal Process. Lett. 27 (2020)
Jineng Ren, Jarvis D. Haupt
A Provably Communication-Efficient Asynchronous Distributed Inference Method for Convex and Nonconvex Problems. IEEE Trans. Signal Process. 68 (2020)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. CoRR (2020)
Akshay Kumar, Jarvis D. Haupt
Convexifying Sparse Interpolation with Infinitely Wide Neural Networks: An Atomic Norm Approach. CoRR (2020)
Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging. IEEE Trans. Signal Process. 68 (2020)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. NeurIPS (2020)
Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties. CoRR (2019)
Xingguo Li, Haoming Jiang, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function. UAI (2019)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
A Dictionary Based Generalization of Robust PCA. CoRR (2019)
Abhinav V. Sambasivan, Richard G. Paxman, Jarvis D. Haupt
Computer Graphics meets Estimation Theory: Parameter Estimation Lower Bounds for Plenoptic Imaging Systems. ACSSC (2019)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
NOODL: Provable Online Dictionary Learning and Sparse Coding. ICLR (Poster) (2019)
Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt
TensorMap: Lidar-Based Topological Mapping and Localization via Tensor Decompositions. CoRR (2019)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
Target-based Hyperspectral Demixing via Generalized Robust PCA. CoRR (2019)
Jineng Ren, Jarvis D. Haupt
A Provably Communication-Efficient Asynchronous Distributed Inference Method for Convex and Nonconvex Problems. CoRR (2019)
Zhehui Chen, Xingguo Li, Lin Yang, Jarvis D. Haupt, Tuo Zhao
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition. AISTATS (2019)
Xingguo Li, Junwei Lu, Raman Arora, Jarvis D. Haupt, Han Liu, Zhaoran Wang, Tuo Zhao
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization. IEEE Trans. Inf. Theory 65 (6) (2019)
Xingguo Li, Jarvis D. Haupt
Sketching Dictionary Based Robust PCA in Large Matrices. ACSSC (2019)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
NOODL: Provable Online Dictionary Learning and Sparse Coding. CoRR (2019)
Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing. CoRR (2019)
Sijia Liu, Xingguo Li, Pin-Yu Chen, Jarvis D. Haupt, Lisa Amini
Zeroth-Order Stochastic Projected Gradient Descent for Nonconvex Optimization. GlobalSIP (2018)
Xingguo Li, Jineng Ren, Sirisha Rambhatla, Yangyang Xu, Jarvis D. Haupt
Robust PCA via Dictionary Based Outlier Pursuit. ICASSP (2018)
Xingguo Li, Jarvis D. Haupt, Junwei Lu, Zhaoran Wang, Raman Arora, Han Liu, Tuo Zhao
Symmetry. Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization. ITA (2018)
Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt
TensorMap: LIDAR-Based Topological Mapping and Localization via Tensor Decompositions. GlobalSIP (2018)
Jineng Ren, Jarvis D. Haupt
Provably Communication-Efficient Asynchronous Distributed Inference for Convex and Nonconvex Problems. GlobalSIP (2018)
Meng Ma, Jineng Ren, Georgios B. Giannakis, Jarvis D. Haupt
Fast Asynchronous Decentralized Optimization: Allowing Multiple Masters. GlobalSIP (2018)
Xingguo Li, Junwei Lu, Zhaoran Wang, Jarvis D. Haupt, Tuo Zhao
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond. CoRR (2018)
Zhehui Chen, Xingguo Li, Lin F. Yang, Jarvis D. Haupt, Tuo Zhao
On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization. CoRR (2018)
Abhinav V. Sambasivan, Jarvis D. Haupt
Minimax Lower Bounds for Noisy Matrix Completion Under Sparse Factor Models. IEEE Trans. Inf. Theory 64 (5) (2018)
Xingguo Li, Lin Yang, Jason Ge, Jarvis D. Haupt, Tong Zhang, Tuo Zhao
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning. NIPS (2017)
Xingguo Li, Jarvis D. Haupt
Robust Low-Complexity methods for matrix column outlier identification. CAMSAP (2017)
Xingguo Li, Lin F. Yang, Jason Ge, Jarvis D. Haupt, Tong Zhang, Tuo Zhao
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions. CoRR (2017)
Swayambhoo Jain, Alexander Gutierrez, Jarvis D. Haupt
Noisy tensor completion for tensors with a sparse canonical polyadic factor. ISIT (2017)
Swayambhoo Jain, Jarvis D. Haupt
Convolutional approximations to linear dimensionality reduction operators. ICASSP (2017)
Jarvis D. Haupt, Xingguo Li, David P. Woodruff
Near Optimal Sketching of Low-Rank Tensor Regression. CoRR (2017)
Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. IEEE Trans. Biomed. Eng. 64 (9) (2017)
Xingguo Li, Jarvis D. Haupt, David P. Woodruff
Near Optimal Sketching of Low-Rank Tensor Regression. NIPS (2017)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
Target-based hyperspectral demixing via generalized robust PCA. ACSSC (2017)
Jineng Ren, Jarvis D. Haupt
Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation. CoRR (2017)
Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey M. Druce, Stefano Gonella, Jarvis D. Haupt
Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring. CoRR (2017)
Jineng Ren, Xingguo Li, Jarvis D. Haupt
Communication-Efficient distributed optimization for sparse learning via two-way truncation. CAMSAP (2017)
Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey M. Druce, Stefano Gonella, Jarvis D. Haupt
Group-level support recovery guarantees for group lasso estimator. ICASSP (2017)
Xingguo Li, Zhaoran Wang, Junwei Lu, Raman Arora, Jarvis D. Haupt, Han Liu, Tuo Zhao
Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization. CoRR (2016)
Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
Noisy Matrix Completion Under Sparse Factor Models. IEEE Trans. Inf. Theory 62 (6) (2016)
Xingguo Li, Jarvis D. Haupt
Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices. CoRR (2016)
Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. CoRR (2016)
Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. CoRR (2016)
Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. ICML (2016)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
A dictionary based generalization of robust PCA. GlobalSIP (2016)
Xingguo Li, Jarvis D. Haupt
A refined analysis for the sample complexity of adaptive compressive outlier sensing. SSP (2016)
Xingguo Li, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao
A First Order Free Lunch for SQRT-Lasso. CoRR (2016)
Jineng Ren, Xingguo Li, Jarvis D. Haupt
Robust PCA via tensor outlier pursuit. ACSSC (2016)
Abhinav V. Sambasivan, Jarvis D. Haupt
Minimax Lower Bounds for Noisy Matrix Completion Under Sparse Factor Models. CoRR (2015)
Ilija Bogunovic, Volkan Cevher, Jarvis D. Haupt, Jonathan Scarlett
Active learning of self-concordant like multi-index functions. ICASSP (2015)
Xingguo Li, Jarvis D. Haupt
Outlier identification via randomized adaptive compressive sampling. ICASSP (2015)
Xingguo Li, Jarvis D. Haupt
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling. IEEE Trans. Signal Process. 63 (7) (2015)
Mojtaba Kadkhodaie, Swayambhoo Jain, Jarvis D. Haupt, Jeffrey M. Druce, Stefano Gonella
Locating rare and weak material anomalies by convex demixing of propagating wavefields. CAMSAP (2015)
Xingguo Li, Jarvis D. Haupt
Locating salient group-structured image features via adaptive compressive sensing. GlobalSIP (2015)
Jarvis D. Haupt, Nikos D. Sidiropoulos, Georgios B. Giannakis
Sparse dictionary learning from 1-BIT data. ICASSP (2014)
Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
Noisy Matrix Completion under Sparse Factor Models. CoRR (2014)
Akshay Soni, Jarvis D. Haupt
Estimation error guarantees for Poisson denoising with sparse and structured dictionary models. ISIT (2014)
Xingguo Li, Jarvis D. Haupt
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling. CoRR (2014)
Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
Error bounds for maximum likelihood matrix completion under sparse factor models. GlobalSIP (2014)
Jeffrey M. Druce, Jarvis D. Haupt, Stefano Gonella
Anomaly-Sensitive Dictionary Learning for Unsupervised Diagnostics of Solid Media. CoRR (2014)
Akshay Soni, Jarvis D. Haupt, Fatih Porikli
Recycled linear classifiers for multiclass classification. ICASSP (2014)
Akshay Soni, Jarvis D. Haupt
On the Fundamental Limits of Recovering Tree Sparse Vectors From Noisy Linear Measurements. IEEE Trans. Inf. Theory 60 (1) (2014)
Akshay Soni, Jarvis D. Haupt
Fundamental limits for support recovery of tree-sparse signals from noisy compressive samples. GlobalSIP (2013)
Stefano Gonella, Jarvis D. Haupt
Automated Defect Localization via Low Rank Plus Outlier Modeling of Propagating Wavefield Data. CoRR (2013)
Jarvis D. Haupt
Locating salient items in large data collections with compressive linear measurements. CAMSAP (2013)
Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach. CoRR (2013)
Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt
Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach. ACSSC (2013)
Sirisha Rambhatla, Jarvis D. Haupt
Semi-blind source separation via sparse representations and online dictionary learning. ACSSC (2013)
Akshay Soni, Jarvis D. Haupt
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements. CoRR (2013)
Sirisha Rambhatla, Jarvis D. Haupt
Semi-blind Source Separation via Sparse Representations and Online Dictionary Learning CoRR (2012)
Akshay Soni, Jarvis D. Haupt
Level Set Estimation from Compressive Measurements using Box Constrained Total Variation Regularization CoRR (2012)
Akshay Soni, Jarvis D. Haupt
Level set estimation from compressive measurements using box constrained total variation regularization. ICIP (2012)
Akshay Soni, Jarvis D. Haupt
Learning sparse representations for adaptive compressive sensing. ICASSP (2012)
Jarvis D. Haupt, Richard G. Baraniuk, Rui M. Castro, Robert D. Nowak
Sequentially designed compressed sensing. SSP (2012)
Jarvis D. Haupt, Richard G. Baraniuk
Robust support recovery using sparse compressive sensing matrices. CISS (2011)
Jarvis D. Haupt
Session TA8b3: Adaptive sensing. ACSCC (2011)
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation. IEEE Trans. Inf. Theory 57 (9) (2011)
Akshay Soni, Jarvis D. Haupt
Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries CoRR (2011)
Akshay Soni, Jarvis D. Haupt
Efficient adaptive compressive sensing using sparse hierarchical learned dictionaries. ACSCC (2011)
Jarvis D. Haupt
Session MP4a: Compressive sensing applications in networking. ACSCC (2011)
Lorne Applebaum, Waheed U. Bajwa, A. Robert Calderbank, Jarvis D. Haupt, Robert Nowak
Deterministic pilot sequences for sparse channel estimation in OFDM systems. DSP (2011)
Jarvis D. Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, Robert D. Nowak
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation. IEEE Trans. Inf. Theory 56 (11) (2010)
Jarvis D. Haupt, Lorne Applebaum, Robert D. Nowak
On the Restricted Isometry of deterministically subsampled Fourier matrices. CISS (2010)
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation. CoRR (2010)
Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak
Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels. Proc. IEEE 98 (6) (2010)
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
Improved bounds for sparse recovery from adaptive measurements. ISIT (2010)
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
Distilled sensing: selective sampling for sparse signal recovery. AISTATS (2009)
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
Adaptive discovery of sparse signals in noise. ACSCC (2008)
Jarvis D. Haupt, Waheed U. Bajwa, Michael G. Rabbat, Robert D. Nowak
Compressed Sensing for Networked Data. IEEE Signal Process. Mag. 25 (2) (2008)
Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak, Gil M. Raz
Finding needles in noisy haystacks. ICASSP (2008)
Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Gil M. Raz, Robert D. Nowak
Compressed channel sensing. CISS (2008)
Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak
Joint Source-Channel Communication for Distributed Estimation in Sensor Networks. IEEE Trans. Inf. Theory 53 (10) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jarvis D. Haupt