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    Author information
    First name: Jarvis D.
    Last name: Haupt
    DBLP: 71/1945
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    Conference paper
    Swayambhoo Jain, Jarvis D. Haupt.
    Convolutional approximations to linear dimensionality reduction operators.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Mojtaba Kadkhodaie, Swayambhoo Jain, Jeffrey M. Druce, Stefano Gonella, Jarvis D. Haupt.
    Group-level support recovery guarantees for group lasso estimator.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Journal article
    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, Volume 0 (0) 2017
    Conference paper
    Swayambhoo Jain, Alexander Gutierrez, Jarvis D. Haupt.
    Noisy tensor completion for tensors with a sparse canonical polyadic factor.
    2017 IEEE International Symposium on Information Theory, ISIT 2017, Aachen, Germany, June 25-30, 2017 2017 (0) 2017
    Conference paper
    Mojtaba Kadkhodaie, 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, Volume 0 (0) 2017
    Conference paper
    Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu 0001, Brian Eriksson, Jarvis D. Haupt.
    A Compressed Sensing Based Decomposition of Electrodermal Activity Signals.
    IEEE Trans. Biomed. Engineering 2017, Volume 64 (0) 2017
    Journal article
    Jineng Ren, Jarvis D. Haupt.
    Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Jarvis D. Haupt, Xingguo Li, David P. Woodruff.
    Near Optimal Sketching of Low-Rank Tensor Regression.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Xingguo Li, Jarvis D. Haupt, David P. Woodruff.
    Near Optimal Sketching of Low-Rank Tensor Regression.
    Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA 2017 (0) 2017
    Conference paper
    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.
    Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA 2017 (0) 2017
    Conference paper
    Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella.
    Noisy Matrix Completion Under Sparse Factor Models.
    IEEE Transactions on Information Theory 2016, Volume 62 (0) 2016
    Conference paper
    Xingguo Li, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao.
    A First Order Free Lunch for SQRT-Lasso.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt.
    Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning.
    Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016 2016 (0) 2016
    Conference paper
    Xingguo Li, Jarvis D. Haupt.
    A refined analysis for the sample complexity of adaptive compressive outlier sensing.
    IEEE Statistical Signal Processing Workshop, SSP 2016, Palma de Mallorca, Spain, June 26-29, 2016 2016 (0) 2016
    Conference paper
    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, Volume 0 (0) 2016
    Conference paper
    Xingguo Li, Jarvis D. Haupt.
    Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Jineng Ren, Xingguo Li, Jarvis D. Haupt.
    Robust PCA via tensor outlier pursuit.
    50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, Pacific Grove, CA, USA, November 6-9, 2016 2016 (0) 2016
    Conference paper
    Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt.
    A Compressed Sensing Based Decomposition of Electrodermal Activity Signals.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt.
    A dictionary based generalization of robust PCA.
    2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016, Washington, DC, USA, December 7-9, 2016 2016 (0) 2016
    Conference paper
    Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt.
    Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Ilija Bogunovic, Volkan Cevher, Jarvis D. Haupt, Jonathan Scarlett.
    Active learning of self-concordant like multi-index functions.
    2015 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2015, South Brisbane, Queensland, Australia, April 19-24, 2015 2015 (0) 2015
    Conference paper
    Abhinav V. Sambasivan, Jarvis D. Haupt.
    Minimax Lower Bounds for Noisy Matrix Completion Under Sparse Factor Models.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Mojtaba Kadkhodaie, Swayambhoo Jain, Jarvis D. Haupt, Jeffrey M. Druce, Stefano Gonella.
    Locating rare and weak material anomalies by convex demixing of propagating wavefields.
    6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015, Cancun, Mexico, December 13-16, 2015 2015 (0) 2015
    Conference paper
    Xingguo Li, Jarvis D. Haupt.
    Locating salient group-structured image features via adaptive compressive sensing.
    2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015, Orlando, FL, USA, December 14-16, 2015 2015 (0) 2015
    Conference paper
    Akshay Soni, Swayambhoo Jain, Jarvis D. Haupt, Stefano Gonella.
    Error bounds for maximum likelihood matrix completion under sparse factor models.
    2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014, Atlanta, GA, USA, December 3-5, 2014 2014 (0) 2014
    Conference paper
    Xingguo Li, Jarvis D. Haupt.
    Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Sirisha Rambhatla, Jarvis D. Haupt.
    Semi-blind source separation via sparse representations and online dictionary learning.
    2013 Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 3-6, 2013 2013 (0) 2013
    Conference paper
    Akshay Soni, Jarvis D. Haupt.
    On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Jarvis D. Haupt.
    Locating salient items in large data collections with compressive linear measurements.
    5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013, St. Martin, France, December 15-18, 2013 2013 (0) 2013
    Conference paper
    Akshay Soni, Jarvis D. Haupt.
    Learning sparse representations for adaptive compressive sensing.
    2012 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012, Kyoto, Japan, March 25-30, 2012 2012 (0) 2012
    Conference paper
    Akshay Soni, Jarvis D. Haupt.
    Level set estimation from compressive measurements using box constrained total variation regularization.
    19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, Orlando, FL, USA, September 30 - October 3, 2012 2012 (0) 2012
    Conference paper
    Jarvis D. Haupt, Richard G. Baraniuk, Rui M. Castro, Robert D. Nowak.
    Sequentially designed compressed sensing.
    IEEE Statistical Signal Processing Workshop, SSP 2012, Ann Arbor, MI, USA, August 5-8, 2012 2012 (0) 2012
    Conference paper
    Sirisha Rambhatla, Jarvis D. Haupt.
    Semi-blind Source Separation via Sparse Representations and Online Dictionary Learning
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Jarvis D. Haupt, Richard G. Baraniuk.
    Robust support recovery using sparse compressive sensing matrices.
    45st Annual Conference on Information Sciences and Systems, CISS 2011, The John Hopkins University, Baltimore, MD, USA, 23-25 March 2011 2011 (0) 2011
    Conference paper
    Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak.
    Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation.
    IEEE Transactions on Information Theory 2011, Volume 57 (0) 2011
    Conference paper
    Akshay Soni, Jarvis D. Haupt.
    Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries
    CoRR 2011, Volume 0 (0) 2011
    Conference paper
    Jarvis D. Haupt.
    Session MP4a: Compressive sensing applications in networking.
    Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers, ACSCC 2011, Pacific Grove, CA, USA, November 6-9, 2011 2011 (0) 2011
    Conference paper
    Jarvis D. Haupt.
    Session TA8b3: Adaptive sensing.
    Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers, ACSCC 2011, Pacific Grove, CA, USA, November 6-9, 2011 2011 (0) 2011
    Journal article
    Jarvis D. Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, Robert D. Nowak.
    Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation.
    IEEE Transactions on Information Theory 2010, Volume 56 (0) 2010
    Conference paper
    Jarvis D. Haupt, Lorne Applebaum, Robert D. Nowak.
    On the Restricted Isometry of deterministically subsampled Fourier matrices.
    44th Annual Conference on Information Sciences and Systems, CISS 2010, Princeton, NJ, USA, 17-19 March 2010 2010 (0) 2010
    Conference paper
    Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak.
    Improved bounds for sparse recovery from adaptive measurements.
    IEEE International Symposium on Information Theory, ISIT 2010, June 13-18, 2010, Austin, Texas, USA, Proceedings 2010 (0) 2010
    Conference paper
    Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak.
    Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels.
    Proceedings of the IEEE 2010, Volume 98 (0) 2010
    Conference paper
    Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak.
    Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation.
    CoRR 2010, Volume 0 (0) 2010
    Journal article
    Jarvis D. Haupt, Rui Castro, Robert D. Nowak.
    Distilled sensing: selective sampling for sparse signal recovery.
    Journal of Machine Learning Research - Proceedings Track 2009, Volume 5 (0) 2009
    Conference paper
    Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Gil M. Raz, Robert D. Nowak.
    Compressed channel sensing.
    42nd Annual Conference on Information Sciences and Systems, CISS 2008, Princeton, NJ, USA, 19-21 March 2008 2008 (0) 2008
    Conference paper
    Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak, Gil M. Raz.
    Finding needles in noisy haystacks.
    Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA 2008 (0) 2008
    Conference paper
    Jarvis D. Haupt, Robert D. Nowak.
    Compressive Sampling for Signal Detection.
    Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2007, Honolulu, Hawaii, USA, April 15-20, 2007 2007 (0) 2007
    Conference paper
    Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak.
    Joint Source-Channel Communication for Distributed Estimation in Sensor Networks.
    IEEE Transactions on Information Theory 2007, Volume 53 (0) 2007
    Conference paper
    Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak.
    Compressed Sensing Vs. Active Learning.
    2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006 2006 (0) 2006
    Conference paper
    Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak.
    A Universal Matched Source-Channel Communication Scheme for Wireless Sensor Ensembles.
    2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006 2006 (0) 2006
    Conference paper
    Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak.
    Compressed sensing in noisy imaging environments.
    Computational Imaging IV, San Jose, CA, January 15, 2006 2006 (0) 2006
    Conference paper
    Jarvis D. Haupt, Robert D. Nowak.
    Compressive Sampling Vs. Conventional Imaging.
    Proceedings of the International Conference on Image Processing, ICIP 2006, October 8-11, Atlanta, Georgia, USA 2006 (0) 2006
    Conference paper
    Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak.
    Compressive wireless sensing.
    Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, IPSN 2006, Nashville, Tennessee, USA, April 19-21, 2006 2006 (0) 2006
    Conference paper
    Michael Rabbat, Jarvis D. Haupt, Aarti Singh, Robert D. Nowak.
    Decentralized compression and predistribution via randomized gossiping.
    Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, IPSN 2006, Nashville, Tennessee, USA, April 19-21, 2006 2006 (0) 2006
    Conference paper
    Jarvis D. Haupt, Robert D. Nowak.
    Signal Reconstruction From Noisy Random Projections.
    IEEE Transactions on Information Theory 2006, Volume 52 (0) 2006
    Show item 1 to 55 of 55  

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