Selected Research Talks
See CV for full list of oral presentations.
Machine Learning
- "Towards Transparency, Fairness, and Efficiency in Machine Learning"
Jan. 2024
[ PDF ] [ Abstract ]
- "On the topic of topic modeling: enhancing machine learning approaches with topic features"
Jan. 2021
[ PDF ] [ Abstract ]
- "Simple Classification from Binary Data"
Apr. 2017
[ PDF ] [ Abstract ]
Frames
- "Lattices from equiangular tight frames with applications to lattice sparse recovery"
Apr. 2017
[ PDF ] [ Abstract ]
- "Practical compressive sampling with frames"
Jan. 2015
[ PDF ] [ Abstract ]
Stochastic Optimization
- "Stochastic Methods for Low Rank Tensor Recovery"
Jan. 2020
[ PDF ] [ Abstract ]
- "Iterative projective approach for highly corrupted linear systems"
Apr. 2018
[ PDF ] [ Abstract ]
- "Batched Stochastic Methods and Weighted Sampling"
Oct. 2016
[ PDF ] [ Abstract ]
- "Stochastic Iterative Greedy Algorithms with Sparsity Constraints"
Feb. 2015
[ PDF ] [ Abstract ]
- "SGD and Randomized Projections methods for linear systems"
Feb. 2014
[ PDF ] [ Abstract ]
- "Randomized projection algorithms for overdetermined linear systems"
Aug. 2012.
[ PDF ] [ Abstract ]
- "Acceleration of Randomized Kaczmarz via the JL Lemma"
Mar. 2011
[ PDF ] [ Abstract ]
Imaging
- "Greedy Algorithms in Super-resolution"
Oct. 2013
[ PDF ] [ Abstract ]
- "Robust image recovery via total variation minimization"
Oct. 2012.
[ PDF ] [ Abstract ]
- "Intro to compressed sensing and imaging"
Apr. 2012
[ PDF ] [ Abstract ]
Sparse Approximation
- "Constrained Adaptive Sensing"
July 2015
[ PDF ] [ Abstract ]
- "Recovering overcomplete sparse representations from structured sensing"
Feb. 2015
[ PDF ] [ Abstract ]
- "Exponential Decay in 1-bit compressed sensing"
Oct. 2014
[ PDF ] [ Abstract ]
- "Analysis and synthesis methods in compressed sensing"
Oct. 2013
[ PDF ] [ Abstract ]
- "Bridging Matrix Recovery Gaps using Manifolds"
Jan. 2012.
[ PDF ] [ Abstract ]
- "Compressed sensing and redundancy"
Mar. 2011.
[ PDF ] [ Abstract ]
- "Mixed operators in compressed sensing"
Mar. 2010
[ PDF ] [ Abstract ]
Methods in Compressive Sensing
- "Greedy Methods for Generalized Sparse Approximation"
Sept. 2014
[ PDF ] [ Abstract ]
- "Using Correlated Subset Structure for Compressive Sensing Recovery"
July 2013
[ PDF ] [ Abstract ]
- "Noisy signal recovery via iterative reweighted L1-minimization"
Nov. 2009
[ PDF ] [ Abstract ]
- "Signal Recovery from Incomplete and Inaccurate Measurements via ROMP"
May 2009
[ PDF ] [ Abstract ]
- "Greedy Signal Recovery and Uniform Uncertainty Principles"
July 2008
[ PDF ] [ Abstract ]
- "CoSaMP: Greedy Signal Recovery and Uniform Uncertainty Principles"
May 2008
[ PDF ] [ Abstract ]