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ORCIDTyler Maunu
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2020 – today
- 2024
[c8]Tyler Maunu
, Martin Molina-Fructuoso:
Acceleration and Implicit Regularization in Gaussian Phase Retrieval. AISTATS 2024: 4060-4068- 2023
- [j3]Tyler Maunu, Gilad Lerman:
Depth Descent Synchronization in ${{\,\mathrm{\text {SO}}\,}}(D)$. Int. J. Comput. Vis. 131(4): 968-986 (2023) - [c7]Tyler Maunu, Thibaut Le Gouic, Philippe Rigollet:
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery. AISTATS 2023: 8183-8210 - [i11]Tyler Maunu, Martin Molina-Fructuoso:
Acceleration and Implicit Regularization in Gaussian Phase Retrieval. CoRR abs/2311.12888 (2023) - 2022
- [c6]Tyler Maunu, Chenyu Yu, Gilad Lerman:
Stochastic and Private Nonconvex Outlier-Robust PCAs. MSML 2022: 173-188 - [i10]Yunpeng Shi, Shaohan Li, Tyler Maunu, Gilad Lerman:
Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching. CoRR abs/2201.04797 (2022) - [i9]Tyler Maunu, Chenyu Yu, Gilad Lerman:
Stochastic and Private Nonconvex Outlier-Robust PCA. CoRR abs/2203.09276 (2022) - 2021
- [c5]Yunpeng Shi, Shaohan Li, Tyler Maunu, Gilad Lerman:
Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching. 3DV 2021: 352-360 - [c4]Grady Daniels, Tyler Maunu, Paul Hand:
Score-based Generative Neural Networks for Large-Scale Optimal Transport. NeurIPS 2021: 12955-12965 - [i8]Max Daniels, Tyler Maunu, Paul Hand:
Score-based Generative Neural Networks for Large-Scale Optimal Transport. CoRR abs/2110.03237 (2021) - 2020
- [c3]Sinho Chewi, Tyler Maunu, Philippe Rigollet, Austin J. Stromme:
Gradient descent algorithms for Bures-Wasserstein barycenters. COLT 2020: 1276-1304 - [c2]Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet:
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence. NeurIPS 2020 - [c1]Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin J. Stromme:
Exponential ergodicity of mirror-Langevin diffusions. NeurIPS 2020 - [i7]Tyler Maunu, Gilad Lerman:
A Provably Robust Multiple Rotation Averaging Scheme for SO(2). CoRR abs/2002.05299 (2020) - [i6]Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin J. Stromme:
Exponential ergodicity of mirror-Langevin diffusions. CoRR abs/2005.09669 (2020) - [i5]Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet:
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence. CoRR abs/2006.02509 (2020)
2010 – 2019
- 2019
- [j2]Tyler Maunu, Teng Zhang, Gilad Lerman:
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. J. Mach. Learn. Res. 20: 37:1-37:59 (2019) - [i4]Tyler Maunu, Gilad Lerman:
Robust Subspace Recovery with Adversarial Outliers. CoRR abs/1904.03275 (2019) - 2018
- [j1]Gilad Lerman, Tyler Maunu:
An Overview of Robust Subspace Recovery. Proc. IEEE 106(8): 1380-1410 (2018) - [i3]Gilad Lerman, Tyler Maunu:
An Overview of Robust Subspace Recovery. CoRR abs/1803.01013 (2018) - 2017
- [i2]Tyler Maunu, Teng Zhang, Gilad Lerman:
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. CoRR abs/1706.03896 (2017) - 2014
- [i1]Gilad Lerman, Tyler Maunu:
Fast algorithm for robust subspace recovery. CoRR abs/1406.6145 (2014)
Coauthor Index
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