Unifying AMP Algorithms for Rotationally-Invariant Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Songbin, Ma, Junjie |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise
por: Dudeja, Rishabh, et al.
Publicado: (2024)
por: Dudeja, Rishabh, et al.
Publicado: (2024)
Orthogonal Approximate Message Passing Algorithms for Rectangular Spiked Matrix Models with Rotationally Invariant Noise
por: Chen, Haohua, et al.
Publicado: (2026)
por: Chen, Haohua, et al.
Publicado: (2026)
Orthogonal Approximate Message Passing with Optimal Spectral Initializations for Rectangular Spiked Matrix Models
por: Chen, Haohua, et al.
Publicado: (2025)
por: Chen, Haohua, et al.
Publicado: (2025)
Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
por: Zhang, Yihan, et al.
Publicado: (2026)
por: Zhang, Yihan, et al.
Publicado: (2026)
On Universality of Non-Separable Approximate Message Passing Algorithms
por: Lovig, Max, et al.
Publicado: (2025)
por: Lovig, Max, et al.
Publicado: (2025)
Linear Operator Approximate Message Passing (OpAMP)
por: Rossetti, Riccardo, et al.
Publicado: (2024)
por: Rossetti, Riccardo, et al.
Publicado: (2024)
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
por: Zhang, Yihan, et al.
Publicado: (2023)
por: Zhang, Yihan, et al.
Publicado: (2023)
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
por: Kovačević, Filip, et al.
Publicado: (2025)
por: Kovačević, Filip, et al.
Publicado: (2025)
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
por: Zhang, Yihan, et al.
Publicado: (2024)
por: Zhang, Yihan, et al.
Publicado: (2024)
Generating Rectifiable Measures through Neural Networks
por: Riegler, Erwin, et al.
Publicado: (2024)
por: Riegler, Erwin, et al.
Publicado: (2024)
A Method For Bounding Tail Probabilities
por: Zlatanov, Nikola
Publicado: (2024)
por: Zlatanov, Nikola
Publicado: (2024)
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence
por: Pananjady, Ashwin, et al.
Publicado: (2024)
por: Pananjady, Ashwin, et al.
Publicado: (2024)
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements
por: Kızıldağ, Eren C.
Publicado: (2025)
por: Kızıldağ, Eren C.
Publicado: (2025)
Change of measure through the Legendre transform
por: Picard-Weibel, Antoine, et al.
Publicado: (2022)
por: Picard-Weibel, Antoine, et al.
Publicado: (2022)
Estimating stationary mass, frequency by frequency
por: Nakul, Milind, et al.
Publicado: (2025)
por: Nakul, Milind, et al.
Publicado: (2025)
Variations on the Expectation due to Changes in the Probability Measure
por: Perlaza, Samir M., et al.
Publicado: (2025)
por: Perlaza, Samir M., et al.
Publicado: (2025)
High-Dimensional Asymptotics of Differentially Private PCA
por: Yun, Youngjoo, et al.
Publicado: (2025)
por: Yun, Youngjoo, et al.
Publicado: (2025)
Sharp One-Dimensional Sub-Gaussian Comparison in Convex Order
por: Zhang, Yihan
Publicado: (2026)
por: Zhang, Yihan
Publicado: (2026)
Variational Optimality of Föllmer Processes in Generative Diffusions
por: Chen, Yifan, et al.
Publicado: (2026)
por: Chen, Yifan, et al.
Publicado: (2026)
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
por: Liu, Suqi, et al.
Publicado: (2024)
por: Liu, Suqi, et al.
Publicado: (2024)
Computationally efficient reductions between some statistical models
por: Lou, Mengqi, et al.
Publicado: (2024)
por: Lou, Mengqi, et al.
Publicado: (2024)
Maximum entropy based testing in network models: ERGMs and constrained optimization
por: Ghosh, Subhro, et al.
Publicado: (2026)
por: Ghosh, Subhro, et al.
Publicado: (2026)
Detecting Arbitrary Planted Subgraphs in Random Graphs
por: Elimelech, Dor, et al.
Publicado: (2025)
por: Elimelech, Dor, et al.
Publicado: (2025)
Harnessing Multiple Correlated Networks for Exact Community Recovery
por: Rácz, Miklós Z., et al.
Publicado: (2024)
por: Rácz, Miklós Z., et al.
Publicado: (2024)
Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models
por: Yang, Xiaodong, et al.
Publicado: (2024)
por: Yang, Xiaodong, et al.
Publicado: (2024)
Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity
por: Stöger, Dominik, et al.
Publicado: (2024)
por: Stöger, Dominik, et al.
Publicado: (2024)
Infinitely divisible privacy and beyond I: resolution of the $s^2=2k$ conjecture
por: Pandey, Aaradhya, et al.
Publicado: (2025)
por: Pandey, Aaradhya, et al.
Publicado: (2025)
On Convergence of the Alternating Directions SGHMC Algorithm
por: Ghosh, Soumyadip, et al.
Publicado: (2024)
por: Ghosh, Soumyadip, et al.
Publicado: (2024)
Concentration of the Langevin Algorithm's Stationary Distribution
por: Altschuler, Jason M., et al.
Publicado: (2022)
por: Altschuler, Jason M., et al.
Publicado: (2022)
First-Extinction Law for Resampling Processes
por: Benati, Matteo, et al.
Publicado: (2025)
por: Benati, Matteo, et al.
Publicado: (2025)
Analysis of Diffusion Models for Manifold Data
por: George, Anand Jerry, et al.
Publicado: (2025)
por: George, Anand Jerry, et al.
Publicado: (2025)
On Unbiased Low-Rank Approximation with Minimum Distortion
por: Barnes, Leighton Pate, et al.
Publicado: (2025)
por: Barnes, Leighton Pate, et al.
Publicado: (2025)
Surveying the space of descriptions of a composite system with machine learning
por: Murphy, Kieran A., et al.
Publicado: (2024)
por: Murphy, Kieran A., et al.
Publicado: (2024)
Higher order definition of causality by optimally conditioned transfer entropy
por: Kořenek, Jakub, et al.
Publicado: (2024)
por: Kořenek, Jakub, et al.
Publicado: (2024)
Accurate Estimation of Mutual Information in High Dimensional Data
por: Abdelaleem, Eslam, et al.
Publicado: (2025)
por: Abdelaleem, Eslam, et al.
Publicado: (2025)
Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck
por: Martini, K. Michael, et al.
Publicado: (2023)
por: Martini, K. Michael, et al.
Publicado: (2023)
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
por: Abdelaleem, Eslam, et al.
Publicado: (2023)
por: Abdelaleem, Eslam, et al.
Publicado: (2023)
Dynamic Structural Causal Models
por: Boeken, Philip, et al.
Publicado: (2024)
por: Boeken, Philip, et al.
Publicado: (2024)
Boosting Causal Additive Models
por: Kertel, Maximilian, et al.
Publicado: (2024)
por: Kertel, Maximilian, et al.
Publicado: (2024)
Copula Entropy: Theory and Applications
por: Ma, Jian
Publicado: (2025)
por: Ma, Jian
Publicado: (2025)
Ejemplares similares
-
Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise
por: Dudeja, Rishabh, et al.
Publicado: (2024) -
Orthogonal Approximate Message Passing Algorithms for Rectangular Spiked Matrix Models with Rotationally Invariant Noise
por: Chen, Haohua, et al.
Publicado: (2026) -
Orthogonal Approximate Message Passing with Optimal Spectral Initializations for Rectangular Spiked Matrix Models
por: Chen, Haohua, et al.
Publicado: (2025) -
Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
por: Zhang, Yihan, et al.
Publicado: (2026) -
On Universality of Non-Separable Approximate Message Passing Algorithms
por: Lovig, Max, et al.
Publicado: (2025)