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10/26/2022
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery
We revisit the problem of recovering a low-rank positive semidefinite ma...
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03/17/2022
Stochastic and Private Nonconvex Outlier-Robust PCA
We develop theoretically guaranteed stochastic methods for outlier-robus...
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01/13/2022
Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching
We develop new statistics for robustly filtering corrupted keypoint matc...
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10/07/2021
Score-based Generative Neural Networks for Large-Scale Optimal Transport
We consider the fundamental problem of sampling the optimal transport co...
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06/03/2020
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
Stein Variational Gradient Descent (SVGD), a popular sampling algorithm,...
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05/19/2020
Exponential ergodicity of mirror-Langevin diffusions
Motivated by the problem of sampling from ill-conditioned log-concave di...
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02/13/2020
A Provably Robust Multiple Rotation Averaging Scheme for SO(2)
We give adversarial robustness results for synchronization on the rotati...
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01/06/2020
Gradient descent algorithms for Bures-Wasserstein barycenters
We study first order methods to compute the barycenter of a probability ...
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04/05/2019
Robust Subspace Recovery with Adversarial Outliers
We study the problem of robust subspace recovery (RSR) in the presence o...
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03/02/2018
An Overview of Robust Subspace Recovery
This paper will serve as an introduction to the body of work on robust s...
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06/13/2017
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
We present a mathematical analysis of a non-convex energy landscape for ...
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06/24/2014
