Tyler Maunu

Brandeis University — United States

Engineering · Physical Sciences

7h-index287citations27works0.02yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(14), Topological and Geometric Data Analysis(5), Geometric Analysis and Curvature Flows(4), Markov Chains and Monte Carlo Methods(4), Image and Signal Denoising Methods(3)

Publications27 total

Simplifying Optimal Transport through Schatten-$p$ Regularization
arXiv (Cornell University)·2025Open Access
A Smoothing Newton Method for Rank-one Matrix Recovery
arXiv (Cornell University)·2025Open Access
Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery
arXiv (Cornell University)·2025Open Access
Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery
SSRN Electronic Journal·2025Open Access
Acceleration and Implicit Regularization in Gaussian Phase Retrieval
arXiv (Cornell University)·2023Open Access
First-Order Algorithms for Optimization over Graph Laplacians
2023
Depth Descent Synchronization in $${{\,\mathrm{\text {SO}}\,}}(D)$$
International Journal of Computer Vision·2023· 2 cited
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery
arXiv (Cornell University)·2022· 1 citedOpen Access
Stochastic and Private Nonconvex Outlier-Robust PCA
arXiv (Cornell University)·2022Open Access
Score-based Generative Neural Networks for Large-Scale Optimal Transport
arXiv (Cornell University)·2021Open Access
Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching
2021 International Conference on 3D Vision (3DV)·2021· 3 citedOpen Access
Score-based Generative Neural Networks for Large-Scale Optimal Transport
arXiv (Cornell University)·2021· 5 citedOpen Access
Gradient descent algorithms for Bures-Wasserstein barycenters
Conference on Learning Theory·2020· 5 cited
SVGD as a kernelized Wasserstein gradient flow of the chi-squared\n divergence
arXiv (Cornell University)·2020· 7 citedOpen Access
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
arXiv (Cornell University)·2020· 4 citedOpen Access
Exponential ergodicity of mirror-Langevin diffusions
arXiv (Cornell University)·2020· 15 citedOpen Access
Depth Descent Synchronization in $\mathrm{SO}(D)$
arXiv (Cornell University)·2020Open Access
A Provably Robust Multiple Rotation Averaging Scheme for SO(2)
arXiv (Cornell University)·2020· 1 citedOpen Access
Gradient descent algorithms for Bures-Wasserstein barycenters
arXiv (Cornell University)·2020· 28 citedOpen Access
Exponential ergodicity of mirror-Langevin diffusions
Neural Information Processing Systems·2020· 3 cited
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Frequent Co-authors

Gilad Lerman(13), Philippe Rigollet(7), Sinho Chewi(6), Thibaut Le Gouic(5), Teng Zhang(4), Austin J. Stromme(4), Lu Chen(3), Paul Hand(2), Kang Li(2), Lu Chen(1), Max Daniels(1), Yunpeng Shi(1), Shaohan Li(1), Chenyu Yu(1), Martin Molina-Fructuoso(1), Grady Daniels(1), Giuseppe Thadeu Freitas de Abreu(1)