Proximal DCA for Fréchet Regression on Riemannian Manifolds with Bounded Curvature
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Yamin, Uribe, César A. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tropical Fréchet Means: a polyhedral approach to exact optimization
by: Ferry, Kamillo, et al.
Published: (2025)
by: Ferry, Kamillo, et al.
Published: (2025)
Global optimality conditions for sensor placement, with extensions to binary low-rank A-optimal designs
by: Aarset, Christian
Published: (2024)
by: Aarset, Christian
Published: (2024)
Infinite-Dimensional Spherical Kernel ridge Regression
by: Matteo, Beatrice, et al.
Published: (2026)
by: Matteo, Beatrice, et al.
Published: (2026)
Geography of pinched four-manifolds
by: Bettiol, Renato G., et al.
Published: (2021)
by: Bettiol, Renato G., et al.
Published: (2021)
On the Geometry and Topology of Positively Curved Eschenburg Orbifolds
by: Wulle, Dennis, et al.
Published: (2024)
by: Wulle, Dennis, et al.
Published: (2024)
FEM-based A-optimal sensor placement for heat source inversion from final time measurement
by: Aarset, Christian, et al.
Published: (2025)
by: Aarset, Christian, et al.
Published: (2025)
Metrics of Positive Ricci Curvature on Simply-Connected Manifolds of Dimension $6k$
by: Reiser, Philipp
Published: (2022)
by: Reiser, Philipp
Published: (2022)
Desingularizing positive scalar curvature 4-manifolds
by: Kazaras, Demetre
Published: (2019)
by: Kazaras, Demetre
Published: (2019)
Statistical exploration of the Manifold Hypothesis
by: Whiteley, Nick, et al.
Published: (2022)
by: Whiteley, Nick, et al.
Published: (2022)
Some Remarks on Isoparametric Functions in Closed 4-Manifolds
by: Li, Minghao
Published: (2025)
by: Li, Minghao
Published: (2025)
Low Rank Convex Clustering For Matrix-Valued Observations
by: Lin, Meixia, et al.
Published: (2024)
by: Lin, Meixia, et al.
Published: (2024)
CA-PCA: Manifold Dimension Estimation, Adapted for Curvature
by: Gilbert, Anna C., et al.
Published: (2023)
by: Gilbert, Anna C., et al.
Published: (2023)
High Probability Bounds for Stochastic Subgradient Schemes with Heavy Tailed Noise
by: Parletta, Daniela A., et al.
Published: (2022)
by: Parletta, Daniela A., et al.
Published: (2022)
On ratios of Chern numbers for complex hyperbolic branched covers
by: Minemyer, Barry
Published: (2025)
by: Minemyer, Barry
Published: (2025)
Maps from Grassmannians of 2-planes to projective spaces
by: Brasil, Ricardo, et al.
Published: (2025)
by: Brasil, Ricardo, et al.
Published: (2025)
Isoparametric foliations and bounded geometry
by: Krannich, Manuel, et al.
Published: (2025)
by: Krannich, Manuel, et al.
Published: (2025)
Universal covers of non-negatively curved manifolds and formality
by: Milivojevic, Aleksandar
Published: (2024)
by: Milivojevic, Aleksandar
Published: (2024)
Huber-based Robust System Identification with Near-Optimal Guarantees Across Independent and Adversarial Regimes
by: Kim, Jihun, et al.
Published: (2026)
by: Kim, Jihun, et al.
Published: (2026)
On the Necessity of Two-Stage Estimation for Learning Dynamical Systems under Both Noise and Node-Wise Attacks
by: Kim, Jihun, et al.
Published: (2026)
by: Kim, Jihun, et al.
Published: (2026)
On the topology and geometry of certain $13$-manifolds
by: Shen, Wen
Published: (2024)
by: Shen, Wen
Published: (2024)
Characterization of generic parameter families of constraint mappings in optimization
by: Hamada, Naoki, et al.
Published: (2024)
by: Hamada, Naoki, et al.
Published: (2024)
Harmonic Map Regression: Rate-Optimal Nonparametric Estimation on Manifolds with Topological Recovery
by: Chen, Xiaoyu
Published: (2026)
by: Chen, Xiaoyu
Published: (2026)
Entropic Risk-Averse Generalized Momentum Methods
by: Can, Bugra, et al.
Published: (2022)
by: Can, Bugra, et al.
Published: (2022)
Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements
by: Wang, Jialu, et al.
Published: (2024)
by: Wang, Jialu, et al.
Published: (2024)
Inference for max-linear Bayesian networks with noise
by: Adams, Mark, et al.
Published: (2025)
by: Adams, Mark, et al.
Published: (2025)
Local Fr'echet Regression via RKHS embedding and Its Applications to Data Analysis on Manifolds
by: Iida, Yuki, et al.
Published: (2025)
by: Iida, Yuki, et al.
Published: (2025)
Tight Semidefinite Relaxations for Verifying Robustness of Neural Networks
by: Azuma, Godai, et al.
Published: (2025)
by: Azuma, Godai, et al.
Published: (2025)
A Bi-Objective Optimization Based Acquisition Strategy for Batch Bayesian Global Optimization
by: Carciaghi, Francesco, et al.
Published: (2024)
by: Carciaghi, Francesco, et al.
Published: (2024)
Generalized Scaling for the Constrained Maximum-Entropy Sampling Problem
by: Chen, Zhongzhu, et al.
Published: (2023)
by: Chen, Zhongzhu, et al.
Published: (2023)
Positive Ricci Curvature on Twisted Suspensions
by: Reiser, Philipp
Published: (2024)
by: Reiser, Philipp
Published: (2024)
Efficient Data-Driven Leverage Score Sampling Algorithm for the Minimum Volume Covering Ellipsoid Problem in Big Data
by: Harris, Elizabeth, et al.
Published: (2024)
by: Harris, Elizabeth, et al.
Published: (2024)
Structures of moduli spaces of generalized Cantor sets
by: Shiga, Hiroshige
Published: (2025)
by: Shiga, Hiroshige
Published: (2025)
Geometry of rational quasi-independence models as toric fiber products
by: Coons, Jane Ivy, et al.
Published: (2024)
by: Coons, Jane Ivy, et al.
Published: (2024)
Surgery and positive Bakry-Émery Ricci curvature
by: Reiser, Philipp, et al.
Published: (2024)
by: Reiser, Philipp, et al.
Published: (2024)
An Equivalence Result on the Order of Differentiability in Frobenius' Theorem
by: Hosoya, Yuhki
Published: (2025)
by: Hosoya, Yuhki
Published: (2025)
Gaussian mixture models in Hilbert spaces via kernel methods
by: López-Montero, Daniel, et al.
Published: (2026)
by: López-Montero, Daniel, et al.
Published: (2026)
Foundations of Riemannian Geometry for Riemannian Optimization: A Monograph with Detailed Derivations
by: Ghojogh, Benyamin
Published: (2026)
by: Ghojogh, Benyamin
Published: (2026)
Positive Ricci curvature on connected sums of fibre bundles
by: Reiser, Philipp
Published: (2024)
by: Reiser, Philipp
Published: (2024)
Varying-Coefficient Fréchet Regression
by: Wang, Yanzhao, et al.
Published: (2025)
by: Wang, Yanzhao, et al.
Published: (2025)
Homogenization on parallelizable Riemannian manifolds
by: Faraco, Daniel, et al.
Published: (2024)
by: Faraco, Daniel, et al.
Published: (2024)
Similar Items
-
Tropical Fréchet Means: a polyhedral approach to exact optimization
by: Ferry, Kamillo, et al.
Published: (2025) -
Global optimality conditions for sensor placement, with extensions to binary low-rank A-optimal designs
by: Aarset, Christian
Published: (2024) -
Infinite-Dimensional Spherical Kernel ridge Regression
by: Matteo, Beatrice, et al.
Published: (2026) -
Geography of pinched four-manifolds
by: Bettiol, Renato G., et al.
Published: (2021) -
On the Geometry and Topology of Positively Curved Eschenburg Orbifolds
by: Wulle, Dennis, et al.
Published: (2024)