Deanna Needell

Selected Research Talks

See CV for full list of oral presentations.


Machine Learning

  1. "On the topic of topic modeling: enhancing machine learning approaches with topic features"
    Jan. 2021
    [ PDF ]    [ Abstract ]

  2. "Simple Classification from Binary Data"
    Apr. 2017
    [ PDF ]    [ Abstract ]

Frames

  1. "Lattices from equiangular tight frames with applications to lattice sparse recovery"
    Apr. 2017
    [ PDF ]    [ Abstract ]

  2. "Practical compressive sampling with frames"
    Jan. 2015
    [ PDF ]    [ Abstract ]

Stochastic Optimization

  1. "Stochastic Methods for Low Rank Tensor Recovery"
    Jan. 2020
    [ PDF ]    [ Abstract ]

  2. "Iterative projective approach for highly corrupted linear systems"
    Apr. 2018
    [ PDF ]    [ Abstract ]

  3. "Batched Stochastic Methods and Weighted Sampling"
    Oct. 2016
    [ PDF ]    [ Abstract ]

  4. "Stochastic Iterative Greedy Algorithms with Sparsity Constraints"
    Feb. 2015
    [ PDF ]    [ Abstract ]

  5. "SGD and Randomized Projections methods for linear systems"
    Feb. 2014
    [ PDF ]    [ Abstract ]

  6. "Randomized projection algorithms for overdetermined linear systems"
    Aug. 2012.
    [ PDF ]    [ Abstract ]

  7. "Acceleration of Randomized Kaczmarz via the JL Lemma"
    Mar. 2011
    [ PDF ]    [ Abstract ]

Imaging

  1. "Greedy Algorithms in Super-resolution"
    Oct. 2013
    [ PDF ]    [ Abstract ]

  2. "Robust image recovery via total variation minimization"
    Oct. 2012.
    [ PDF ]    [ Abstract ]

  3. "Intro to compressed sensing and imaging"
    Apr. 2012
    [ PDF ]    [ Abstract ]

Sparse Approximation

  1. "Constrained Adaptive Sensing"
    July 2015
    [ PDF ]    [ Abstract ]

  2. "Recovering overcomplete sparse representations from structured sensing"
    Feb. 2015
    [ PDF ]    [ Abstract ]

  3. "Exponential Decay in 1-bit compressed sensing"
    Oct. 2014
    [ PDF ]    [ Abstract ]

  4. "Analysis and synthesis methods in compressed sensing"
    Oct. 2013
    [ PDF ]    [ Abstract ]

  5. "Bridging Matrix Recovery Gaps using Manifolds"
    Jan. 2012.
    [ PDF ]    [ Abstract ]

  6. "Compressed sensing and redundancy"
    Mar. 2011.
    [ PDF ]    [ Abstract ]

  7. "Mixed operators in compressed sensing"
    Mar. 2010
    [ PDF ]    [ Abstract ]

Methods in Compressive Sensing

  1. "Greedy Methods for Generalized Sparse Approximation"
    Sept. 2014
    [ PDF ]     [ Abstract ]

  2. "Using Correlated Subset Structure for Compressive Sensing Recovery"
    July 2013
    [ PDF ]    [ Abstract ]

  3. "Noisy signal recovery via iterative reweighted L1-minimization"
    Nov. 2009
    [ PDF ]    [ Abstract ]

  4. "Signal Recovery from Incomplete and Inaccurate Measurements via ROMP"
    May 2009
    [ PDF ]    [ Abstract ]

  5. "Greedy Signal Recovery and Uniform Uncertainty Principles"
    July 2008
    [ PDF ]     [ Abstract ]

  6. "CoSaMP: Greedy Signal Recovery and Uniform Uncertainty Principles"
    May 2008
    [ PDF ]    [ Abstract ]