Jarvis D. Haupt

113 papers A* 2A 3B 5Misc 19Journal 55Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Renderer-Enabled Framework for Computing Parameter Estimation Lower Bounds in Plenoptic Imaging Systems. CoRR Abhinav V. Sambasivan, Liam J. Coulter, Richard G. Paxman, Jarvis D. Haupt
2025	J	`jnl`	Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations. Trans. Mach. Learn. Res. Akshay Kumar, Jarvis D. Haupt
2025	J	`jnl`	Learning Neural Networks by Neuron Pursuit. CoRR Akshay Kumar, Jarvis D. Haupt
2025	J	`jnl`	Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin. CoRR Akshay Kumar, Jarvis D. Haupt
2024	J	`jnl`	Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks. CoRR Akshay Kumar, Jarvis D. Haupt
2024	J	`jnl`	Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks. Trans. Mach. Learn. Res. Akshay Kumar, Jarvis D. Haupt
2024	J	`jnl`	Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations. CoRR Akshay Kumar, Jarvis D. Haupt
2021	J	`jnl`	Communication-efficient hierarchical distributed optimization for multi-agent policy evaluation. J. Comput. Sci. Jineng Ren, Jarvis D. Haupt, Zehua Guo
2021	J	`jnl`	Reducing the Complexity of Model-Based MRI Reconstructions via Sparsification. IEEE Trans. Medical Imaging Alex Gutierrez, Michael Mullen, Di Xiao, Albert Jang, Taylor Froelich, Michael Garwood, Jarvis D. Haupt
2020	J	`jnl`	A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging. IEEE Trans. Signal Process. Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
2020	J	`jnl`	A Provably Communication-Efficient Asynchronous Distributed Inference Method for Convex and Nonconvex Problems. IEEE Trans. Signal Process. Jineng Ren, Jarvis D. Haupt
2020	J	`jnl`	Convexifying Sparse Interpolation With Infinitely Wide Neural Networks: An Atomic Norm Approach. IEEE Signal Process. Lett. Akshay Kumar, Jarvis D. Haupt
2020	J	`jnl`	Convexifying Sparse Interpolation with Infinitely Wide Neural Networks: An Atomic Norm Approach. CoRR Akshay Kumar, Jarvis D. Haupt
2020	A*	`conf`	Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. NeurIPS Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2020	J	`jnl`	Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. CoRR Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2019	J	`jnl`	A Dictionary Based Generalization of Robust PCA. CoRR Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2019	J	`jnl`	A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties. CoRR Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
2019	J	`jnl`	A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing. CoRR Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
2019	J	`jnl`	A Provably Communication-Efficient Asynchronous Distributed Inference Method for Convex and Nonconvex Problems. CoRR Jineng Ren, Jarvis D. Haupt
2019	Misc	`conf`	Computer Graphics meets Estimation Theory: Parameter Estimation Lower Bounds for Plenoptic Imaging Systems. ACSSC Abhinav V. Sambasivan, Richard G. Paxman, Jarvis D. Haupt
2019	—	`conf`	NOODL: Provable Online Dictionary Learning and Sparse Coding. ICLR (Poster) Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2019	J	`jnl`	NOODL: Provable Online Dictionary Learning and Sparse Coding. CoRR Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2019	A	`conf`	On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition. AISTATS Zhehui Chen, Xingguo Li, Lin Yang, Jarvis D. Haupt, Tuo Zhao
2019	A	`conf`	On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function. UAI Xingguo Li, Haoming Jiang, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao
2019	Misc	`conf`	Sketching Dictionary Based Robust PCA in Large Matrices. ACSSC Xingguo Li, Jarvis D. Haupt
2019	J	`jnl`	Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization. IEEE Trans. Inf. Theory Xingguo Li, Junwei Lu, Raman Arora, Jarvis D. Haupt, Han Liu, Zhaoran Wang, Tuo Zhao
2019	J	`jnl`	Target-based Hyperspectral Demixing via Generalized Robust PCA. CoRR Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2019	J	`jnl`	TensorMap: Lidar-Based Topological Mapping and Localization via Tensor Decompositions. CoRR Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt
2018	—	`conf`	Fast Asynchronous Decentralized Optimization: Allowing Multiple Masters. GlobalSIP Meng Ma, Jineng Ren, Georgios B. Giannakis, Jarvis D. Haupt
2018	J	`jnl`	Minimax Lower Bounds for Noisy Matrix Completion Under Sparse Factor Models. IEEE Trans. Inf. Theory Abhinav V. Sambasivan, Jarvis D. Haupt
2018	J	`jnl`	On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization. CoRR Zhehui Chen, Xingguo Li, Lin F. Yang, Jarvis D. Haupt, Tuo Zhao
2018	J	`jnl`	On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond. CoRR Xingguo Li, Junwei Lu, Zhaoran Wang, Jarvis D. Haupt, Tuo Zhao
2018	—	`conf`	Provably Communication-Efficient Asynchronous Distributed Inference for Convex and Nonconvex Problems. GlobalSIP Jineng Ren, Jarvis D. Haupt
2018	Misc	`conf`	Robust PCA via Dictionary Based Outlier Pursuit. ICASSP Xingguo Li, Jineng Ren, Sirisha Rambhatla, Yangyang Xu, Jarvis D. Haupt
2018	Misc	`conf`	Symmetry. Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization. ITA Xingguo Li, Jarvis D. Haupt, Junwei Lu, Zhaoran Wang, Raman Arora, Han Liu, Tuo Zhao
2018	—	`conf`	TensorMap: LIDAR-Based Topological Mapping and Localization via Tensor Decompositions. GlobalSIP Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt
2018	—	`conf`	Zeroth-Order Stochastic Projected Gradient Descent for Nonconvex Optimization. GlobalSIP Sijia Liu, Xingguo Li, Pin-Yu Chen, Jarvis D. Haupt, Lisa Amini
2017	J	`jnl`	A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. IEEE Trans. Biomed. Eng. Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
2017	—	`conf`	Communication-Efficient distributed optimization for sparse learning via two-way truncation. CAMSAP Jineng Ren, Xingguo Li, Jarvis D. Haupt
2017	J	`jnl`	Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation. CoRR Jineng Ren, Jarvis D. Haupt
2017	Misc	`conf`	Convolutional approximations to linear dimensionality reduction operators. ICASSP Swayambhoo Jain, Jarvis D. Haupt
2017	Misc	`conf`	Group-level support recovery guarantees for group lasso estimator. ICASSP Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey M. Druce, Stefano Gonella, Jarvis D. Haupt
2017	J	`jnl`	Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring. CoRR Mojtaba Kadkhodaie Elyaderani, Swayambhoo Jain, Jeffrey M. Druce, Stefano Gonella, Jarvis D. Haupt
2017	—	`conf`	Near Optimal Sketching of Low-Rank Tensor Regression. NIPS Xingguo Li, Jarvis D. Haupt, David P. Woodruff
2017	J	`jnl`	Near Optimal Sketching of Low-Rank Tensor Regression. CoRR Jarvis D. Haupt, Xingguo Li, David P. Woodruff
2017	B	`conf`	Noisy tensor completion for tensors with a sparse canonical polyadic factor. ISIT Swayambhoo Jain, Alexander Gutierrez, Jarvis D. Haupt
2017	J	`jnl`	On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions. CoRR Xingguo Li, Lin F. Yang, Jason Ge, Jarvis D. Haupt, Tong Zhang, Tuo Zhao
2017	—	`conf`	On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning. NIPS Xingguo Li, Lin Yang, Jason Ge, Jarvis D. Haupt, Tong Zhang, Tuo Zhao
2017	—	`conf`	Robust Low-Complexity methods for matrix column outlier identification. CAMSAP Xingguo Li, Jarvis D. Haupt
2017	Misc	`conf`	Target-based hyperspectral demixing via generalized robust PCA. ACSSC Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2016	J	`jnl`	A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. CoRR Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
2016	J	`jnl`	A First Order Free Lunch for SQRT-Lasso. CoRR Xingguo Li, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao
2016	—	`conf`	A dictionary based generalization of robust PCA. GlobalSIP Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2016	—	`conf`	A refined analysis for the sample complexity of adaptive compressive outlier sensing. SSP Xingguo Li, Jarvis D. Haupt
2016	J	`jnl`	Noisy Matrix Completion Under Sparse Factor Models. IEEE Trans. Inf. Theory Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
2016	J	`jnl`	Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices. CoRR Xingguo Li, Jarvis D. Haupt
2016	Misc	`conf`	Robust PCA via tensor outlier pursuit. ACSSC Jineng Ren, Xingguo Li, Jarvis D. Haupt
2016	A*	`conf`	Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. ICML Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt
2016	J	`jnl`	Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. CoRR Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt
2016	J	`jnl`	Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization. CoRR Xingguo Li, Zhaoran Wang, Junwei Lu, Raman Arora, Jarvis D. Haupt, Han Liu, Tuo Zhao
2015	Misc	`conf`	Active learning of self-concordant like multi-index functions. ICASSP Ilija Bogunovic, Volkan Cevher, Jarvis D. Haupt, Jonathan Scarlett
2015	J	`jnl`	Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling. IEEE Trans. Signal Process. Xingguo Li, Jarvis D. Haupt
2015	—	`conf`	Locating rare and weak material anomalies by convex demixing of propagating wavefields. CAMSAP Mojtaba Kadkhodaie, Swayambhoo Jain, Jarvis D. Haupt, Jeffrey M. Druce, Stefano Gonella
2015	—	`conf`	Locating salient group-structured image features via adaptive compressive sensing. GlobalSIP Xingguo Li, Jarvis D. Haupt
2015	J	`jnl`	Minimax Lower Bounds for Noisy Matrix Completion Under Sparse Factor Models. CoRR Abhinav V. Sambasivan, Jarvis D. Haupt
2015	Misc	`conf`	Outlier identification via randomized adaptive compressive sampling. ICASSP Xingguo Li, Jarvis D. Haupt
2014	J	`jnl`	Anomaly-Sensitive Dictionary Learning for Unsupervised Diagnostics of Solid Media. CoRR Jeffrey M. Druce, Jarvis D. Haupt, Stefano Gonella
2014	—	`conf`	Error bounds for maximum likelihood matrix completion under sparse factor models. GlobalSIP Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
2014	B	`conf`	Estimation error guarantees for Poisson denoising with sparse and structured dictionary models. ISIT Akshay Soni, Jarvis D. Haupt
2014	J	`jnl`	Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling. CoRR Xingguo Li, Jarvis D. Haupt
2014	J	`jnl`	Noisy Matrix Completion under Sparse Factor Models. CoRR Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella
2014	J	`jnl`	On the Fundamental Limits of Recovering Tree Sparse Vectors From Noisy Linear Measurements. IEEE Trans. Inf. Theory Akshay Soni, Jarvis D. Haupt
2014	Misc	`conf`	Recycled linear classifiers for multiclass classification. ICASSP Akshay Soni, Jarvis D. Haupt, Fatih Porikli
2014	Misc	`conf`	Sparse dictionary learning from 1-BIT data. ICASSP Jarvis D. Haupt, Nikos D. Sidiropoulos, Georgios B. Giannakis
2013	J	`jnl`	Automated Defect Localization via Low Rank Plus Outlier Modeling of Propagating Wavefield Data. CoRR Stefano Gonella, Jarvis D. Haupt
2013	J	`jnl`	Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach. CoRR Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt
2013	Misc	`conf`	Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach. ACSSC Swayambhoo Jain, Akshay Soni, Jarvis D. Haupt
2013	—	`conf`	Fundamental limits for support recovery of tree-sparse signals from noisy compressive samples. GlobalSIP Akshay Soni, Jarvis D. Haupt
2013	—	`conf`	Locating salient items in large data collections with compressive linear measurements. CAMSAP Jarvis D. Haupt
2013	J	`jnl`	On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements. CoRR Akshay Soni, Jarvis D. Haupt
2013	Misc	`conf`	Semi-blind source separation via sparse representations and online dictionary learning. ACSSC Sirisha Rambhatla, Jarvis D. Haupt
2012	—	`ch.`	Adaptive sensing for sparse recovery. Compressed Sensing Jarvis D. Haupt, Robert D. Nowak
2012	Misc	`conf`	Learning sparse representations for adaptive compressive sensing. ICASSP Akshay Soni, Jarvis D. Haupt
2012	J	`jnl`	Level Set Estimation from Compressive Measurements using Box Constrained Total Variation Regularization CoRR Akshay Soni, Jarvis D. Haupt
2012	B	`conf`	Level set estimation from compressive measurements using box constrained total variation regularization. ICIP Akshay Soni, Jarvis D. Haupt
2012	J	`jnl`	Semi-blind Source Separation via Sparse Representations and Online Dictionary Learning CoRR Sirisha Rambhatla, Jarvis D. Haupt
2012	—	`conf`	Sequentially designed compressed sensing. SSP Jarvis D. Haupt, Richard G. Baraniuk, Rui M. Castro, Robert D. Nowak
2011	—	`conf`	Deterministic pilot sequences for sparse channel estimation in OFDM systems. DSP Lorne Applebaum, Waheed U. Bajwa, A. Robert Calderbank, Jarvis D. Haupt, Robert Nowak
2011	J	`jnl`	Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation. IEEE Trans. Inf. Theory Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2011	J	`jnl`	Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries CoRR Akshay Soni, Jarvis D. Haupt
2011	—	`conf`	Efficient adaptive compressive sensing using sparse hierarchical learned dictionaries. ACSCC Akshay Soni, Jarvis D. Haupt
2011	Misc	`conf`	Robust support recovery using sparse compressive sensing matrices. CISS Jarvis D. Haupt, Richard G. Baraniuk
2011	—	`conf`	Session MP4a: Compressive sensing applications in networking. ACSCC Jarvis D. Haupt
2011	—	`conf`	Session TA8b3: Adaptive sensing. ACSCC Jarvis D. Haupt
2010	J	`jnl`	Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels. Proc. IEEE Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak
2010	J	`jnl`	Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation. CoRR Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2010	B	`conf`	Improved bounds for sparse recovery from adaptive measurements. ISIT Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2010	Misc	`conf`	On the Restricted Isometry of deterministically subsampled Fourier matrices. CISS Jarvis D. Haupt, Lorne Applebaum, Robert D. Nowak
2010	J	`jnl`	Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation. IEEE Trans. Inf. Theory Jarvis D. Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, Robert D. Nowak
2009	A	`conf`	Distilled sensing: selective sampling for sparse signal recovery. AISTATS Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2008	—	`conf`	Adaptive discovery of sparse signals in noise. ACSCC Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2008	J	`jnl`	Compressed Sensing for Networked Data. IEEE Signal Process. Mag. Jarvis D. Haupt, Waheed U. Bajwa, Michael G. Rabbat, Robert D. Nowak
2008	Misc	`conf`	Compressed channel sensing. CISS Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Gil M. Raz, Robert D. Nowak
2008	Misc	`conf`	Finding needles in noisy haystacks. ICASSP Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak, Gil M. Raz
2007	—	`conf`	Compressive Sampling for Signal Detection. ICASSP (3) Jarvis D. Haupt, Robert D. Nowak
2007	J	`jnl`	Joint Source-Channel Communication for Distributed Estimation in Sensor Networks. IEEE Trans. Inf. Theory Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak
2006	—	`conf`	A Universal Matched Source-Channel Communication Scheme for Wireless Sensor Ensembles. ICASSP (5) Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak
2006	—	`conf`	Compressed Sensing Vs. Active Learning. ICASSP (3) Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak
2006	—	`conf`	Compressed sensing in noisy imaging environments. Computational Imaging Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2006	B	`conf`	Compressive Sampling Vs. Conventional Imaging. ICIP Jarvis D. Haupt, Robert D. Nowak
2006	—	`conf`	Compressive wireless sensing. IPSN Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak
2006	—	`conf`	Decentralized compression and predistribution via randomized gossiping. IPSN Michael G. Rabbat, Jarvis D. Haupt, Aarti Singh, Robert D. Nowak
2006	J	`jnl`	Signal Reconstruction From Noisy Random Projections. IEEE Trans. Inf. Theory Jarvis D. Haupt, Robert D. Nowak