Fast algorithm for robust subspace recovery. - Gilad Lerman; Tyler Maunu (CoRR, 2014)

An Overview of Robust Subspace Recovery. - Gilad Lerman; Tyler Maunu (Proc. IEEE, 2018)

Robust Subspace Recovery with Adversarial Outliers. - Tyler Maunu; Gilad Lerman (CoRR, 2019)

A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. - Tyler Maunu; Teng Zhang 002; Gilad Lerman (J. Mach. Learn. Res., 2019)

Gradient descent algorithms for Bures-Wasserstein barycenters. - Sinho Chewi; Tyler Maunu; Philippe Rigollet; Austin J. Stromme (COLT, 2020)

SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence. - Sinho Chewi; Thibaut Le Gouic; Chen Lu 002; Tyler Maunu; Philippe Rigollet (NeurIPS, 2020)

Exponential ergodicity of mirror-Langevin diffusions. - Sinho Chewi; Thibaut Le Gouic; Chen Lu 002; Tyler Maunu; Philippe Rigollet; Austin J. Stromme (NeurIPS, 2020)

A Provably Robust Multiple Rotation Averaging Scheme for SO(2). - Tyler Maunu; Gilad Lerman (CoRR, 2020)

Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching. - Yunpeng Shi; Shaohan Li; Tyler Maunu; Gilad Lerman (3DV, 2021)

Score-based Generative Neural Networks for Large-Scale Optimal Transport. - Grady Daniels; Tyler Maunu; Paul Hand (NeurIPS, 2021)

Score-based Generative Neural Networks for Large-Scale Optimal Transport. - Max Daniels; Tyler Maunu; Paul Hand (CoRR, 2021)

Stochastic and Private Nonconvex Outlier-Robust PCAs. - Tyler Maunu; Chenyu Yu; Gilad Lerman (MSML, 2022)

Stochastic and Private Nonconvex Outlier-Robust PCA. - Tyler Maunu; Chenyu Yu; Gilad Lerman (CoRR, 2022)

Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery. - Tyler Maunu; Thibaut Le Gouic; Philippe Rigollet (AISTATS, 2023)

Depth Descent Synchronization in ${{ , mathrm{ text {SO}} ,}}(D)$. - Tyler Maunu; Gilad Lerman (Int. J. Comput. Vis., 2023)

Acceleration and Implicit Regularization in Gaussian Phase Retrieval. - Tyler Maunu; Martin Molina-Fructuoso (AISTATS, 2024)

Preconditioned Subspace Langevin Monte Carlo. - Tyler Maunu; Jiayi Yao (CoRR, 2024)

Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery. - Gilad Lerman; Kang Li; Tyler Maunu; Teng Zhang 002 (CoRR, 2025)

A Smoothing Newton Method for Rank-one Matrix Recovery. - Tyler Maunu; Gabriel Abreu (CoRR, 2025)