Deanna Needell

Preprints

  1. "Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization"
    by Y. Guo, N. Haonian, Z. Lin, N. Liskij, H. Lyu, D. Needell, J. Qu, H. Sojico, Y. Wang, Z. Xiong, Z. Zou.
    Submitted, 2019.
    [ Arxiv ]    [ Bibtex ]

  2. "Online matrix factorization for markovian data and applications to network dictionary learning"
    by H. Lyu, D. Needell, L. Balzano.
    Submitted, 2019.
    [ Arxiv ]    [ Bibtex ]

  3. "Weighted matrix completion from non-random, non-uniform sampling patterns"
    by S. Foucart, D. Needell, R. Pathak, Y. Plan, M. Wootters.
    Submitted, 2019.
    [ Arxiv ]    [ Bibtex ]

  4. "Data-driven Algorithm Selection in Optimization and Signal Processing"
    by J. De Loera, J. Haddock, A. Ma and D. Needell.
    Submitted, 2019.
    [ Arxiv ]    [ Bibtex ]

  5. "Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery"
    by R. Grotheer, A. Ma, D. Needell, S. Li, J. Qin.
    Submitted.
    [ Arxiv ]    [ Bibtex ]

  6. "Clustering of Nonnegative Data and an Application to Matrix Completion"
    by C. Strohmeier, D. Needell.
    Submitted.
    [ Bibtex ]

  7. "Iterative Hard Thresholding for Low CP-rank Tensor Models"
    by R. Grotheer, A. Ma, D. Needell, S. Li, J. Qin.
    Submitted.
    [ Arxiv ]    [ Bibtex ]

  8. "Adaptive sketch-and-project methods for solving linear systems"
    by R. Gower, D. Molitor, J. Moorman, D. Needell.
    Submitted.
    [ Arxiv ]    [ Bibtex ]

  9. "Bias of Homotopic Gradient Descent for the Hinge Loss"
    by D. Molitor, D. Needell and R. Ward.
    Submitted.
    [ Arxiv ]    [ Bibtex ]

  10. "On block Gaussian sketching for iterative projections"
    by E. Rebrova, D. Needell.
    Submitted.
    [ Arxiv ]    [ Bibtex ]

  11. "Joint Clustering of Relaxed Kernel OLSDA and Spectral Clustering via Adaptive Weight"
    by T. Wu, R. Zhang, D. Needell, F. Nie, and X. Li.
    Neurocomputing.
    [ Bibtex ]

  12. "An iterative method for classification of binary data"
    by D. Molitor and D. Needell.
    Submitted.
    [ Arxiv ]    [ Bibtex ]

  13. "Tribracket Modules"
    by D. Needell, S. Nelson, and Y. Shi.
    Submitted.
    [ Arxiv ]    [ Bibtex ]

  14. "Optimally Relaxed Randomized Kaczmarz"
    by J. Moorman, D. Molitor and D. Needell.
    Submitted.
    [ Arxiv ]    [ Bibtex ]

  15. "Stochastic Greedy Algorithms For Multiple Measurement Vectors"
    by J. Qin, S. Li, D. Needell, A. Ma, R. Grotheer, C. Huang, N. Durgin.
    Submitted.
    [ Arxiv ]    [ Bibtex ]

  16. "Impact of Compressed Sensing on Statistical Inferences Made from Image Time Series: Application to functional MRI"
    by S. Shoemaker, A. Asadoorian, C. Ayala, R. McCarthy, J. Nadalin, W. T. Kerr, D. Needell, A. Bertozzi, S. J. Osher, M. Cohen.
    Submitted.
    [ Bibtex ]

    Journal Papers

  17. "Lattices from tight frames and vertex transitive graphs"
    by L. Fukshansky, D. Needell, J. Park, Y. Xin
    Electronic Journal of Combinatorics, to appear, 2019.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  18. "Analysis of Fast Structured Dictionary Learning"
    by S. Ravishankar, A. Ma and D. Needell.
    Information and Inference, to appear.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  19. "Modified Fuzzy Clustering with Segregated Cluster Centroids"
    by T. Wu, Y. Zhou, Y. Xiao, D. Needell, F. Nie.
    Neurocomputing, to appear, 2019.
    [ Journal ]    [ Bibtex ]

  20. "An Approximate Message Passing Framework for Side Information"
    by A. Ma, Y. Zhou, C. Rush, D. Baron and D. Needell.
    IEEE Transactions on Signal Processing, to appear.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  21. "Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions"
    by J. Haddock, D. Needell.
    SIAM Journal on Scientific Computing, vol. 41, iss. 5, pp. S19-S36, 2019.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  22. "On Motzkin's Method for Inconsistent Linear Systems"
    by J. Haddock, D. Needell.
    BIT Numerical Mathematics, vol. 59, num. 2, pp. 387-401, 2019.
    [ Arxiv ]    [ Journal ]    [ Open Journal ]   [ Bibtex ]

  23. "Simple Classification using Binary Data"
    by D. Needell, R. Saab, T. Woolf.
    Journal of Machine Learning Research, vol. 19, num. 61, pp. 1--30, 2018.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]    [ Code ]

  24. "Convergence of the Randomized Block Gauss-Seidel Method"
    by W. Wu and D. Needell.
    SIAM Undergraduate Research Online (SIURO), Vol. 11, pp. 369-382, 2018.
    [ Bibtex ]

  25. "Large Data Analysis and Lyme Disease"
    by D. Needell.
    AMS Notices, vol. 66, num. 1, pp 8--15, Jan. 2019.
    [ Journal ]    [ Bibtex ]

  26. "Boltzmann Enhancements of Biquasile Counting Invariants"
    by W. Choi, D. Needell and S. Nelson.
    Journal of Knot Theory and its Ramifications, Vol. 27, Iss. 14, 1850068, 2018.
    [ Arxiv ]    [ Bibtex ]

  27. "An algebraic perspective on integer sparse recovery"
    by L. Fukshansky, D. Needell, B. Sudakov.
    Applied Mathematics and Computation, vol. 340, pp. 31--42, 2019.
    [ Arxiv ]    [ Bibtex ]

  28. "Stochastic Gradient Descent for Linear Systems with Missing Data"
    by A. Ma and D. Needell.
    Numerical Mathematics: Theory, Methods and Applications, vol. 12, num. 1, pp. 1--20.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  29. "Hierarchical Classification using Binary Data"
    by D. Molitor, D. Needell.
    AAAI Magazine special Issue on Deep Models, Machine Learning and Artificial Intelligence Applications in National and International Security, June, 2018.
    [ Arxiv ]    [ Bibtex ]

  30. "Optimizing quantization for Lasso recovery"
    X. Gu, S. Tu, H-J.M. Shi, M. Case, D. Needell, and Y. Plan.
    IEEE Signal Processing Letters, vol. 25, iss. 1, pp. 45--49.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  31. "Iterative methods for solving factorized linear systems"
    by A. Ma, D. Needell and A. Ramdas.
    SIAM Journal on Matrix Analysis and Applications, vol. 39, iss. 1, pp. 104-122, 2018.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  32. "One-Bit Compressive Sensing of Dictionary-Sparse Signals"
    by R. Baraniuk, S. Foucart, D. Needell, Y. Plan, M. Wootters.
    Information and Inference, vol. 7, num. 1, pp. 83--104, 2017.
    [ Arxiv ]    [ Journal ]   [ Bibtex ]

  33. "RBF-based regional geoid model of Iran"
    by A. Safari, S. A. Saadat, D. Needell.
    Studia Geophysica et Geodaetica, vol. 62, iss. 3, pp. 380--407, 2018.
    [ Journal ]     [ Bibtex ]

  34. "Linear Convergence of Stochastic Iterative Greedy Algorithms with Sparse Constraints"
    by N. Nguyen, D. Needell, and T. Woolf.
    IEEE Transactions on Information Theory, vol. 63, num. 11, pp. 6869--6895, 2017.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]    [ Code ]

  35. "Biquasiles and Dual Graph Diagrams"
    by D. Needell and S. Nelson.
    Journal of Knot Theory and Its Ramifications, vol. 26, num. 8, 2017.
    [ Arxiv ]    [ Bibtex ]

  36. "Rows vs. Columns: Randomized Kaczmarz or Gauss-Seidel for Ridge Regression"
    by A. Hefny, D. Needell, A. Ramdas.
    SIAM Journal of Scientific Computing, to appear.
    [ Arxiv ]    [ Bibtex ]

  37. "Exponential decay of reconstruction error from binary measurements of sparse signals"
    by R. Baraniuk, S. Foucart, D. Needell, Y. Plan, M. Wootters
    IEEE Trans. Information Theory, vol. 63, num. 6, 3368 - 3385, 2017.
    [ Arxiv ]     [ Journal ]    [ Bibtex ]

  38. "On practical approximate projection schemes in signal space methods"
    by X. Gu, D. Needell, and S. Tu.
    SIAM Undergraduate Research Online, Vol. 9, pp. 422-434, 2016.
    [ Arxiv ]     [ Bibtex ]

  39. "Weighted L1-Minimization for Sparse Recovery under Arbitrary Prior Information"
    by D. Needell, R. Saab, T. Woolf.
    Information and Inference, vol. 6, num. 3, pp. 284--309, 2017.
    [ Arxiv ]     [ Journal ]     [ Bibtex ]     [ Code ]

  40. "A Sampling Kaczmarz-Motzkin Algorithm for Linear Feasibility"
    by J. A. De Loera, J. Haddock, D. Needell.
    SIAM Journal on Scientific Computing, Vol. 39, Iss. 5, pp. S66-87, 2017.
    [ Arxiv ]     [ Bibtex ]

  41. "A Practical Study of Longitudinal Reference Based Compressed Sensing for MRI"
    by S. Birns, B. Kim, S. Ku, K. Stangl, D. Needell.
    Rose-Hulman Undergraduate Mathematics Journal, Vol. 17, Iss. 2, pp 1--24, 2016.
    [ Arxiv ]     [ Bibtex ]

  42. "Lattices from equiangular tight frames"
    by A. Böttcher, L. Fukshansky, S. Garcia, H. Maharaj, D. Needell.
    Linear Algebra and its Applications, vol. 510, 395 - 420, 2016.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  43. "Constrained Adaptive Sensing"
    by M. Davenport, A. Massimino, D. Needell, and T. Woolf.
    IEEE Transactions on Signal Processing, vol. 64, num. 20, 5437 - 5449, 2016..
    [ Arxiv ]    [ Bibtex ]    [ Code ]

  44. "Convergence properties of the randomized extended Gauss-Seidel and Kaczmarz methods"
    by A. Ma, D. Needell and A. Ramdas.
    SIAM Journal on Matrix Analysis and Applications, vol. 36, num. 4, 1590 - 1604, 2015.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  45. "Compressive Sensing with Redundant Dictionaries and Structured Measurements"
    by F. Krahmer, D. Needell and R. Ward.
    SIAM Journal on Mathematical Analysis, vol. 47, num. 6, 4606 - 4629, 2015.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  46. "Sparse reconstruction of regional gravity signal based on Stabilized Orthogonal Matching Pursuit"
    by S. A. Saadat, A. Safari and D. Needell.
    Pure and Applied Geophysics, 1 - 13, 2015.
    [ Journal ]     [ Bibtex ]

  47. "Randomized Block Kaczmarz Method with Projection for Solving Least Squares"
    by D. Needell, R. Zhao, A. Zouzias.
    Linear Algebra and its Applications, vol. 484, 322 - 343, 2015.
    [ Arxiv ]    [ Bibtex ]

  48. "Near Oracle Performance and Block Analysis of Signal Space Greedy Methods"
    by R. Giryes, D. Needell.
    Journal of Approximation Theory, vol. 194, 157 - 174, 2015.
    [ Arxiv ]    [Journal]    [ Bibtex ]

  49. "Stochastic Gradient Descent and the Randomized Kaczmarz algorithm"
    by D. Needell, N. Srebro, R. Ward.
    Mathematical Programming Series A, vol. 155, num. 1, 549 - 573, 2016.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  50. "Block Kaczmarz Method with Inequalities"
    by J. Briskman and D. Needell.
    Journal of Mathematical Imaging and Vision, vol. 52, num. 3, 385 - 396, 2015.
    [ Arxiv ]    [ Journal ]   [ Bibtex ]

  51. "Two-Part Reconstruction with Noisy-Sudocodes"
    by Y. Ma, D. Baron and D. Needell.
    IEEE Transactions on Signal Processing, vol. 62, iss. 23, 6323 - 6334, 2014.
    [ Arxiv ]    [ Code ]     [ Bibtex ]

  52. "Greedy Signal Space Methods for Incoherence and Beyond"
    by R. Giryes and D. Needell
    Applied and Computational Harmonic Analysis, vol. 39, iss. 1, 1 - 20, 2015.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  53. "Guaranteed sparse signal recovery with highly coherent sensing matrices"
    by G. Chen, A. Divekar, D. Needell.
    Sampling Theory in Signal Analysis and Image Processing, to appear.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  54. "Signal Space CoSaMP for Sparse Recovery with Redundant Dictionaries"
    by M. A. Davenport, D. Needell and M. B. Wakin
    IEEE Transactions on Information Theory, vol. 59, iss. 10, 6820 - 6829, 2013.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]   [ Code ]

  55. "On the Mathematics of Music: From Chords to Fourier Analysis"
    by N. Lenssen and D. Needell
    Journal of Humanistic Mathematics, vol. 4, iss. 1, pp 72-91, 2014.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  56. "Near-optimal compressed sensing guarantees for total variation minimization"
    by D. Needell and R. Ward
    IEEE Transactions on Image Processing, vol. 22, iss. 10, pp. 3941 - 3949, 2013.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  57. "Paved with Good Intentions: Analysis of a Randomized Block Kaczmarz Method"
    by D. Needell and J. A. Tropp
    Linear Algebra and its Applications, vol. 441, pp. 199-221, 2014.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  58. "Spectral Clustering: An empirical study of Approximation Algorithms and its Application to the Attrition Problem"
    by B. Cung, T. Jin, J. Ramirez, A. Thompson, C. Boutsidis and D. Needell
    SIAM Undergraduate Research Journal, vol. 5, pp. 283-303, 2012.
    [ Journal ]     [ Arxiv ]    [ Bibtex ]

  59. "Stable image reconstruction using total variation minimization"
    by D. Needell and R. Ward
    SIAM Journal on Imaging Sciences, vol. 6, num. 2, pp. 1035-1058, 2013.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  60. "Two-subspace Projection Method for Coherent Overdetermined Systems"
    by D. Needell and R. Ward
    Journal of Fourier Analysis and Applications, vol. 19, num. 2, pp. 256-269, 2013.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  61. "Uniqueness Conditions For Low-Rank Matrix Recovery"
    by Y. C. Eldar, D. Needell and Y. Plan
    Applied and Computational Harmonic Analysis, vol. 33, num. 2, pp. 309-314, 2012.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  62. "Robust Principal Component Analysis Conditions"
    by M. Hornstein, Adviser D. Needell
    Rose-Hulman Undergraduate Mathematics Journal, vol. 12, num. 2, pp.137-161, 2011.
    [ Journal ]    [ Bibtex ]

  63. "Acceleration of Randomized Kaczmarz Method via the Johnson-Lindenstrauss Lemma"
    by Y. C. Eldar and D. Needell
    Numerical Algorithms, vol. 58, num. 2, pp. 163-177, 2011.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  64. "Compressed sensing with coherent and redundant dictionaries"
    by E. J. Candès, Y. C. Eldar, D. Needell and P. Randall
    Applied and Computational Harmonic Analysis, vol. 31, num. 1, pp. 59-73, 2010.
    2011-2016 Top 5 Hottest ACHA Article
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  65. "Randomized Kaczmarz solver for noisy linear systems"
    by D. Needell
    BIT Numerical Mathematics, vol. 50, num. 2, pp. 395-403, 2010.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  66. "CoSaMP: Iterative signal recovery from incomplete and inaccurate samples"
    by D. Needell and J. A. Tropp.
    Applied and Computational Harmonic Analysis, vol. 26, num. 3, pp. 301-321, 2008.
    Selected as the ScienceWatch fast-breaking paper in mathematics, Aug. 2010.
    2009-2018 Top 3 Hottest ACHA Article
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  67. "Signal Recovery from Inaccurate and Incomplete Measurements via Regularized Orthogonal Matching Pursuit"
    by D. Needell and R. Vershynin.
    IEEE Journal of Selected Topics in Signal Processing, vol. 4, pp. 310-316, 2010.
    2012 IEEE Best Young Author Paper Award
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  68. "Uniform Uncertainty Principle and signal recovery via Regularized Orthogonal Matching Pursuit"
    by D. Needell and R. Vershynin.
    Foundations of Computational Mathematics, vol. 9, num. 3, pp. 317-334, 2009.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

    Conference Papers

  69. "Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices"
    by J.-Y. Jiang, Z. Chao, A. L. Bertozzi, W. Wang, S. Young and D. Needell.
    Proc. 28th ACM International Conference on Information and Knowledge Management(CIKM), 2019.
    [ Journal ]    [ Bibtex ]

  70. "Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing"
    by J. De Loera, J. Haddock, A. Ma and D. Needell.
    Proc. International Joint Conferences on Artificial Intelligence Organization, to appear, 2019.
    [ Arxiv ]    [ Bibtex ]

  71. "Sketching for Motzkin's iterative method for linear systems"
    by E. Rebrova, D. Needell.
    Proc. 50th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2019.
    [ Arxiv ]    [ Bibtex ]

  72. "Convergence of Iterative Hard Thresholding Variants with Application to Asynchronous Parallel Methods for Sparse Recovery"
    by J. Haddock, D. Needell, A. Zaeemzadeh, N. Rahnavard.
    Proc. 50th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2019.
    [ Bibtex ]

  73. "Jointly Sparse Signal Recovery with Prior Info"
    by N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, J. Qin.
    Proc. 50th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2019.
    [ Bibtex ]

  74. "Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling"
    by M. Gao, J. Haddock, D. Molitor, D. Needell, E. Sadovnik, T. Will, R. Zhang.
    Proc. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019.
    [ Bibtex ]

  75. "On inferences from Completed Data"
    by J. Haddock, D. Molitor, D. Needell, S. Sambandam, J. Song, and S. Sun.
    Proc. Sampling Theory and Applications (SAMPTA), Bordeaux, France, July 2019.
    [ Arxiv ]    [ Bibtex ]

  76. "Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity"
    by N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, J. Qin
    Proc. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'19), to appear.
    [ Bibtex ]

  77. "Matrix Completion with Selected Sampling"
    by C. Parkinson, K. Huynh, D. Needell.
    Proc. 13th International Conf. on Sampling Theory and Applications (SAMPTA), July, 2019..
    [ Bibtex ]

  78. "New bounds for the block Gaussian sketch and project method"
    by E. Rebrova, D. Needell.
    Proc. Information Theory and Applications, La Jolla CA, Feb. 2019.
    [ Bibtex ]

  79. "On inferences from Completed Data"
    by J. Haddock, D. Molitor, D. Needell, S. Sambandam, J. Song, and S. Sun.
    Proc. Information Theory and Applications, La Jolla CA, Feb. 2019.
    [ Bibtex ]

  80. "Randomized Kaczmarz with Averaging"
    by J. Moorman, T. Tu, D. Molitor, D. Needell.
    Proc. Information Theory and Applications, La Jolla CA, Feb. 2019.
    [ Bibtex ]

  81. "Compressed Anomaly Detection with Multiple Mixed Observations"
    by N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, J. Qin.
    Research in Data Science, Proc. WiSDM (ICERM), 2018.
    [ Arxiv ]    [ Bibtex ]

  82. "Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors"
    by N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, J. Qin.
    Research in Data Science, Proc. WiSDM (ICERM), 2018.
    [ Arxiv ]    [ Bibtex ]

  83. "A Bayesian Approach for Asynchronous Parallel Sparse Recovery"
    by A. Zaeemzadeh, J. Haddock, N. Rahnavard, D. Needell.
    Proc. 49th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2018.
    [ Bibtex ]

  84. "A Gradient Descent Approach for Incomplete Linear Systems"
    by A. Ma and D. Needell.
    Proc. 49th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2018.
    [ Bibtex ]

  85. "A simple approach to hierarchical classification"
    by D. Molitor and D. Needell.
    Proc. International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTwist), Nov. 2018.
    [ Proceedings ]    [ Bibtex ]

  86. "Analysis of Fast Alternating Minimization for Structured Dictionary Learning"
    by S. Ravishankar, A. Ma and D. Needell.
    Proc. Information Theory and Approximation, La Jolla CA, Feb. 2018.
    [ Arxiv ]    [ Bibtex ]

  87. "Matrix Completion for Structured Observations"
    by D. Molitor and D. Needell.
    Proc. Information Theory and Approximation, La Jolla CA, Feb. 2018.
    [ Arxiv ]    [ Bibtex ]

  88. "Randomized Projections for Corrupted Linear Systems"
    by J. Haddock and D. Needell.
    Proc. 15th Int. Conf. of Numerical Analysis and Applied Mathematics, Rhodes, Greece, Sept. 2017.
    [ Bibtex ]

  89. "Simple Object Classification using Binary Data"
    by D. Needell, R. Saab, T. Woolf.
    Proc. AAAI Fall Symposium, Arlington, VA, Nov. 2017.
    [ Proceedings ]    [ Bibtex ]

  90. "Conditional Approximate Message Passing with Side Information"
    by D. Baron, A. Ma, D. Needell, C. Rush, and T. Woolf.
    Proc. 49th Asilomar Conf. on Signals, Systems and Computers, pp. 430--434, Pacific Grove, CA, Nov. 2017.
    [ Bibtex ]

  91. "De-biasing low-rank projection for matrix completion"
    by S. Foucart, D. Needell, Y. Plan and M. Wootters.
    Proc. SPIE Optics and Photonics, San Diego, Aug. 2017.
    [ Bibtex ]

  92. "Tolerant Compressed Sensing With Partially Coherent Sensing Matrices"
    by T. Birnbaum, Y. Eldar and D. Needell.
    Proc. SPIE Optics and Photonics, San Diego, Aug. 2017.
    [ Arxiv ]    [ Bibtex ]

  93. "Batched Stochastic Gradient Descent with Weighted Sampling"
    by D. Needell and R. Ward.
    Chapter in Approximation Theory XV, Springer, 2017.
    [ Arxiv ]    [ Bibtex ]

  94. "An Asynchronous Parallel Approach to Sparse Recovery"
    by D. Needell and T. Woolf.
    Proc. Information Theory and Applications, San Diego, Feb. 2017.
    [ Arxiv ]    [ Bibtex ]     [ Code ]

  95. "A Sampling Kaczmarz-Motzkin Algorithm for Linear Feasibility"
    by J. A. De Loera, J. Haddock, D. Needell.
    Proc. Copper Mountain Conf. on Iterative Methods, Mar. 2016.
    [ Bibtex ]

  96. "Methods for Quantized Compressed Sensing"
    by H. M. Shi, M. Case, X. Gu, S. Tu, and D. Needell.
    Proc. Information Theory and Applications (ITA), La Jolla CA, Jan. 2016.
    [ Arxiv ]    [ Bibtex ]

  97. "One-Bit Compressive Sensing with Partial Support"
    by P. North and D. Needell.
    Proc. IEEE International Workshop on Computational Advances in Multi-sensor Adaptive Processing, 2015.
    [ Arxiv ]    [ Bibtex ]

  98. "Constrained Adaptive Sensing"
    by M. Davenport, A. Massimino, D. Needell and T. Woolf.
    Proc. Signal Processing with Adaptive Sparse Structured Representations (SPARS), Cambridge, UK, July 2015.
    [ Proceedings ]    [ Bibtex ]

  99. "Compressive Sensing with Redundant Dictionaries and Structured Measurements"
    by F. Krahmer, D. Needell and R. Ward.
    Proc. 12th International Conf. on Sampling Theory and Applications (SAMPTA), May 2015.
    [ Proceedings ]    [ Bibtex ]

  100. "Stochastic Greedy Methods with Sparse Constraints"
    by N. Nguyen, D. Needell, and T. Woolf.
    Proc. Information Theory and Applications, La Jolla CA, Jan. 2015.
    [ Arxiv ]    [ Bibtex ]

  101. "Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm (Conference)"
    by D. Needell, N. Srebro and R. Ward.
    Proc. Neural Information Processing Systems (NIPS), Dec. 2014.
    [ Arxiv ]    [ Bibtex ]

  102. "Practical approximate projection schemes in greedy signal space methods"
    by C. Garnatz, X. Gu, A. Kingman, J. LaManna, D. Needell, S. Tu
    Proc. 2014 Allerton Conference on Communication, Control, and Computing, Allerton IL, Oct. 2014.
    [ Arxiv ]    [ Bibtex ]

  103. "Improving Image Clustering using Sparse Text and the Wisdom of the Crowds"
    by A. Ma, A. Flenner, D. Needell, and A. Percus
    Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove CA, Nov. 2014.
    [ Arxiv ]    [ Bibtex ]

  104. "A Comparison of Clustering and Missing Data Methods for Health Sciences"
    by R. Zhao, D. Needell, C. Johansen, J. L. Grenard.
    Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove CA, Nov. 2014.
    [ Arxiv ]    [ Bibtex ]

  105. "Two-Part Reconstruction in Compressed Sensing"
    by Y. Ma, D. Baron and D. Needell
    Proc. IEEE Global Conf. Signal Inf. Process., Austin, TX, Dec. 2013.
    [ Arxiv ]    [ Bibtex ]

  106. "Kaczmarz Algorithm with Soft Constraints for User Interface Layout"
    by N. Jamil, D. Needell, J. Muller, C. Lutteroth, and G. Weber
    IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2013.
    [ Arxiv ]    [ Bibtex ]

  107. "Super-resolution via superset selection and pruning"
    by L. Demanet, D. Needell and N. Nguyen
    Proc. 10th International Conf. on Sampling Theory and Applications (SAMPTA) 2013.
    [ Arxiv ]    [ Bibtex ]

  108. "Using Correlated Subset Structure for Compressive Sensing Recovery"
    by A. Divekar and D. Needell
    Proc. 10th International Conf. on Sampling Theory and Applications (SAMPTA) 2013.
    [ Arxiv ]    [ Bibtex ]

  109. "Signal Space CoSaMP for Sparse Recovery with Redundant Dictionaries"
    by M. A. Davenport, D. Needell and M. B. Wakin
    Signal Processing with Adaptive Sparse Structured Representations (SPARS) 2013.
    [ PDF ]    [ Bibtex ]

  110. "CoSaMP with redundant dictionaries"
    by M.A. Davenport, D. Needell, and M.B. Wakin
    Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA Nov. 2012.
    [ PDF ]    [ Bibtex ]

  111. "Mixed operators in compressed sensing"
    by M. Herman and D. Needell
    CISS 2010 (44th Annual Conference on Information Sciences and Systems)
    [ Arxiv ]   [ Proceedings ]    [ Bibtex ]

  112. "Noisy signal recovery via iterative reweighted L1-minimization"
    by D. Needell
    Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA Nov. 2009.
    [ Arxiv ]   [ Proceedings ]    [ Bibtex ]

  113. "Signal Recovery from Inaccurate and Incomplete Measurements via ROMP"
    by D. Needell and R. Vershynin.
    8th international conference on Sampling Theory and Applications (SAMPTA), May 2009.
    [ PDF ]   [ Proceedings ]    [ Bibtex ]

  114. "Greedy Signal Recovery Review"
    by D. Needell, J. A. Tropp and R. Vershynin.
    Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA Oct. 2008.
    [ Arxiv ]   [ Proceedings ]    [ Bibtex ]

  115. "Greedy signal recovery and uncertainty principles"
    by D. Needell and R. Vershynin.
    Computational Imaging VI, IS&T/SPIE 19th Annual Symposium, 2008. Proc. SPIE Vol. 6814, 68140J.
    [ PDF ]   [ Proceedings ]    [ Bibtex ]

  116. "Software requirements specification for a university class scheduler"
    by D. Needell, J. Stuart, T. Thiel, M. Dascalu, F. Harris Jr..
    Proc. 2003 International Conference on SERP, June 2003, Monte Carlo Resort, Las Vegas, NV.
    [ PDF ]    [ Bibtex ]

    Reports and Articles

  117. "Math is all fun and games"
    by D. Needell
    Article in Girls' Angle Bulletin, Aug. 2019.
    [ Website ]    [ Bibtex ]

  118. "Colors and Perfect Matches"
    by D. Needell
    Article in Girls' Angle Bulletin, June 2019.
    [ Website ]    [ Bibtex ]

  119. "George the traveler"
    by D. Needell
    Article in Girls' Angle Bulletin, Apr. 2019.
    [ Website ]    [ Bibtex ]

  120. "AMS Spring Southeastern Sectional Sampler"
    by D. Needell
    AMS Notices, Mar. 2019.
    [ Website ]   [ Bibtex ]

  121. "Hats and papers: Probability is probably surprising"
    by D. Needell
    Article in Girls' Angle Bulletin, Dec. 2018.
    [ Website ]    [ Bibtex ]

  122. "Classification scheme for binary data with extensions"
    by D. Molitor, D. Needell, A. Nelson, R. Saab, and P. Salanevich
    Chapter in Compressed Sensing and its Applications, to appear, 2018.
    [ Website ]    [ Bibtex ]

  123. "Why it's hot in high dimensions"
    by D. Needell
    Article in Girls' Angle Bulletin, Aug. 2018.
    [ Website ]    [ Bibtex ]

  124. "Who am I? : Machine Learning Classification"
    by D. Needell
    Article in Girls' Angle Bulletin, June 2018.
    [ Website ]    [ Bibtex ]

  125. "How to fill in the blanks"
    by D. Needell
    Article in Girls' Angle Bulletin, Apr. 2018.
    [ Website ]    [ Bibtex ]

  126. "Tackling Large-scale data analysis"
    by D. Needell
    Article in Girls' Angle Bulletin, Jan. 2018.
    [ Website ]    [ Bibtex ]

  127. "Compressed sensing and dictionary learning"
    by G. Chen and D. Needell
    Chapter in Finite Frame Theory, Proceedings of Symposia in Applied Mathematics, vol. 73, Amer. Math. Soc., Providence, RI, 2016, pp. 201-241.
    [ Preprint ]    [ Bibtex ]

  128. "Near-optimal compressed sensing guarantees for anisotropic and isotropic total variation minimization"
    by D. Needell and R. Ward
    CMC Faculty Publications and Research Technical Report, Paper 318, 2013.
    [ Report ]    [ Bibtex ]

  129. "Two-subspace Projection Method for Coherent Overdetermined Systems"
    by D. Needell and R. Ward
    CMC Faculty Publications and Research Technical Report, Paper 35. DOI: 10.5642/tspmcos.2012.01.
    [ Arxiv ]   [ Report ]    [ Bibtex ]

  130. "CoSaMP: Iterative signal recovery from incomplete and inaccurate samples"
    by D. Needell and J. A. Tropp
    Extended Abstract, Communications of the ACM, "Research Highlights" section, Dec. 2010.
    [ PDF ]   [ Communications ]   [ Bibtex ]

  131. "CoSaMP: Iterative signal recovery from incomplete and inaccurate samples"
    by D. Needell and J. A. Tropp.
    ACM Report 2008-01, Mar. 2008. Revised, July 2008.
    [ Report ]    [ Bibtex ]

  132. "Topics in Compressed Sensing"
    by D. Needell
    PhD Dissertation, Mathematics, Univ. of California, Davis, May 2009.
    [ Arxiv ]    [ Bibtex ]