Selected Research Talks

Machine Learning

1. "Towards Transparency, Fairness, and Efficiency in Machine Learning"
   Jan. 2024
   [ PDF ]    [ Abstract ]
   
   
2. "On the topic of topic modeling: enhancing machine learning approaches with topic features"
   Jan. 2021
   [ PDF ]    [ Abstract ]
   
   
3. "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 ]