Tyler Maunu - RankMe

27 papers A* 4A 2Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Simplifying Optimal Transport through Schatten-$p$ Regularization. Trans. Mach. Learn. Res. Tyler Maunu
2025	J	`jnl`	A Smoothing Newton Method for Rank-one Matrix Recovery. CoRR Tyler Maunu, Gabriel Abreu
2025	J	`jnl`	Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery. CoRR Gilad Lerman, Kang Li, Tyler Maunu, Teng Zhang
2025	J	`jnl`	Simplifying Optimal Transport through Schatten-p Regularization. CoRR Tyler Maunu
2024	A	`conf`	Acceleration and Implicit Regularization in Gaussian Phase Retrieval. AISTATS Tyler Maunu, Martin Molina-Fructuoso
2024	J	`jnl`	Preconditioned Subspace Langevin Monte Carlo. CoRR Tyler Maunu, Jiayi Yao
2023	J	`jnl`	Acceleration and Implicit Regularization in Gaussian Phase Retrieval. CoRR Tyler Maunu, Martin Molina-Fructuoso
2023	A	`conf`	Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery. AISTATS Tyler Maunu, Thibaut Le Gouic, Philippe Rigollet
2023	J	`jnl`	Depth Descent Synchronization in ${{\,\mathrm{\text {SO}}\,}}(D)$. Int. J. Comput. Vis. Tyler Maunu, Gilad Lerman
2022	J	`jnl`	Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching. CoRR Yunpeng Shi, Shaohan Li, Tyler Maunu, Gilad Lerman
2022	J	`jnl`	Stochastic and Private Nonconvex Outlier-Robust PCA. CoRR Tyler Maunu, Chenyu Yu, Gilad Lerman
2022	—	`conf`	Stochastic and Private Nonconvex Outlier-Robust PCAs. MSML Tyler Maunu, Chenyu Yu, Gilad Lerman
2021	—	`conf`	Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching. 3DV Yunpeng Shi, Shaohan Li, Tyler Maunu, Gilad Lerman
2021	A*	`conf`	Score-based Generative Neural Networks for Large-Scale Optimal Transport. NeurIPS Grady Daniels, Tyler Maunu, Paul Hand
2021	J	`jnl`	Score-based Generative Neural Networks for Large-Scale Optimal Transport. CoRR Max Daniels, Tyler Maunu, Paul Hand
2020	J	`jnl`	A Provably Robust Multiple Rotation Averaging Scheme for SO(2). CoRR Tyler Maunu, Gilad Lerman
2020	A*	`conf`	Exponential ergodicity of mirror-Langevin diffusions. NeurIPS Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin J. Stromme
2020	J	`jnl`	Exponential ergodicity of mirror-Langevin diffusions. CoRR Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin J. Stromme
2020	A*	`conf`	Gradient descent algorithms for Bures-Wasserstein barycenters. COLT Sinho Chewi, Tyler Maunu, Philippe Rigollet, Austin J. Stromme
2020	A*	`conf`	SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence. NeurIPS Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet
2020	J	`jnl`	SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence. CoRR Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet
2019	J	`jnl`	A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. J. Mach. Learn. Res. Tyler Maunu, Teng Zhang, Gilad Lerman
2019	J	`jnl`	Robust Subspace Recovery with Adversarial Outliers. CoRR Tyler Maunu, Gilad Lerman
2018	J	`jnl`	An Overview of Robust Subspace Recovery. CoRR Gilad Lerman, Tyler Maunu
2018	J	`jnl`	An Overview of Robust Subspace Recovery. Proc. IEEE Gilad Lerman, Tyler Maunu
2017	J	`jnl`	A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. CoRR Tyler Maunu, Teng Zhang, Gilad Lerman
2014	J	`jnl`	Fast algorithm for robust subspace recovery. CoRR Gilad Lerman, Tyler Maunu