Tyler Maunu

According to our database, Tyler Maunu authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Acceleration and Implicit Regularization in Gaussian Phase Retrieval.

Tyler Maunu, Martin Molina-Fructuoso

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Depth Descent Synchronization in ${{\,\mathrm{\text {SO}}\,}}(D)$.

Tyler Maunu, Gilad Lerman

Int. J. Comput. Vis., April, 2023

Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery.

Tyler Maunu, Thibaut Le Gouic, Philippe Rigollet

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Stochastic and Private Nonconvex Outlier-Robust PCA.

Tyler Maunu, Chenyu Yu, Gilad Lerman

CoRR, 2022

Stochastic and Private Nonconvex Outlier-Robust PCAs.

Tyler Maunu, Chenyu Yu, Gilad Lerman

Proceedings of the Mathematical and Scientific Machine Learning, 2022

2021

Score-based Generative Neural Networks for Large-Scale Optimal Transport.

Max Daniels, Tyler Maunu, Paul Hand

CoRR, 2021

Score-based Generative Neural Networks for Large-Scale Optimal Transport.

Grady Daniels, Tyler Maunu, Paul Hand

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching.

Yunpeng Shi, Shaohan Li, Tyler Maunu, Gilad Lerman

Proceedings of the International Conference on 3D Vision, 2021

2020

A Provably Robust Multiple Rotation Averaging Scheme for SO(2).

Tyler Maunu, Gilad Lerman

CoRR, 2020

Exponential ergodicity of mirror-Langevin diffusions.

Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin J. Stromme

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence.

Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Gradient descent algorithms for Bures-Wasserstein barycenters.

Sinho Chewi, Tyler Maunu, Philippe Rigollet, Austin J. Stromme

Proceedings of the Conference on Learning Theory, 2020

2019

A Well-Tempered Landscape for Non-convex Robust Subspace Recovery.

Tyler Maunu, Teng Zhang, Gilad Lerman

J. Mach. Learn. Res., 2019

Robust Subspace Recovery with Adversarial Outliers.

Tyler Maunu, Gilad Lerman

CoRR, 2019

2018

An Overview of Robust Subspace Recovery.

Gilad Lerman, Tyler Maunu

Proc. IEEE, 2018

2014

Fast algorithm for robust subspace recovery.

Gilad Lerman, Tyler Maunu

CoRR, 2014