Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yihan, Ji, Hong Chang, Venkataramanan, Ramji, Mondelli, Marco |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
by: Zhang, Yihan, et al.
Published: (2026)
by: Zhang, Yihan, et al.
Published: (2026)
Precise Asymptotics for Spectral Methods in Mixed Generalized Linear Models
by: Zhang, Yihan, et al.
Published: (2022)
by: Zhang, Yihan, et al.
Published: (2022)
Mixed Regression via Approximate Message Passing
by: Tan, Nelvin, et al.
Published: (2023)
by: Tan, Nelvin, et al.
Published: (2023)
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
by: Kovačević, Filip, et al.
Published: (2025)
by: Kovačević, Filip, et al.
Published: (2025)
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
by: Zhang, Yihan, et al.
Published: (2024)
by: Zhang, Yihan, et al.
Published: (2024)
Linear Operator Approximate Message Passing (OpAMP)
by: Rossetti, Riccardo, et al.
Published: (2024)
by: Rossetti, Riccardo, et al.
Published: (2024)
On Universality of Non-Separable Approximate Message Passing Algorithms
by: Lovig, Max, et al.
Published: (2025)
by: Lovig, Max, et al.
Published: (2025)
Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise
by: Dudeja, Rishabh, et al.
Published: (2024)
by: Dudeja, Rishabh, et al.
Published: (2024)
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
by: Arpino, Gabriel, et al.
Published: (2024)
by: Arpino, Gabriel, et al.
Published: (2024)
Universality of Approximate Message Passing algorithms and tensor networks
by: Wang, Tianhao, et al.
Published: (2022)
by: Wang, Tianhao, et al.
Published: (2022)
Coded Many-User Multiple Access via Approximate Message Passing
by: Liu, Xiaoqi, et al.
Published: (2024)
by: Liu, Xiaoqi, et al.
Published: (2024)
Sharp One-Dimensional Sub-Gaussian Comparison in Convex Order
by: Zhang, Yihan
Published: (2026)
by: Zhang, Yihan
Published: (2026)
Orthogonal Approximate Message Passing with Optimal Spectral Initializations for Rectangular Spiked Matrix Models
by: Chen, Haohua, et al.
Published: (2025)
by: Chen, Haohua, et al.
Published: (2025)
Equivalence of Approximate Message Passing and Low-Degree Polynomials in Rank-One Matrix Estimation
by: Montanari, Andrea, et al.
Published: (2022)
by: Montanari, Andrea, et al.
Published: (2022)
Inferring Change Points in Regression via Sample Weighting
by: Arpino, Gabriel, et al.
Published: (2026)
by: Arpino, Gabriel, et al.
Published: (2026)
Orthogonal Approximate Message Passing Algorithms for Rectangular Spiked Matrix Models with Rotationally Invariant Noise
by: Chen, Haohua, et al.
Published: (2026)
by: Chen, Haohua, et al.
Published: (2026)
Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing
by: Tan, Nelvin, et al.
Published: (2023)
by: Tan, Nelvin, et al.
Published: (2023)
Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing
by: Lovig, Max
Published: (2026)
by: Lovig, Max
Published: (2026)
Estimating stationary mass, frequency by frequency
by: Nakul, Milind, et al.
Published: (2025)
by: Nakul, Milind, et al.
Published: (2025)
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence
by: Pananjady, Ashwin, et al.
Published: (2024)
by: Pananjady, Ashwin, et al.
Published: (2024)
Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information
by: Ruggeri, Nicolò, et al.
Published: (2023)
by: Ruggeri, Nicolò, et al.
Published: (2023)
Approximate independence of permutation mixtures
by: Han, Yanjun, et al.
Published: (2024)
by: Han, Yanjun, et al.
Published: (2024)
Bayes-Optimal Estimation in Generalized Linear Models via Spatial Coupling
by: Cobo, Pablo Pascual, et al.
Published: (2023)
by: Cobo, Pablo Pascual, et al.
Published: (2023)
Generating Rectifiable Measures through Neural Networks
by: Riegler, Erwin, et al.
Published: (2024)
by: Riegler, Erwin, et al.
Published: (2024)
Variational Optimality of Föllmer Processes in Generative Diffusions
by: Chen, Yifan, et al.
Published: (2026)
by: Chen, Yifan, et al.
Published: (2026)
Unifying AMP Algorithms for Rotationally-Invariant Models
by: Liu, Songbin, et al.
Published: (2024)
by: Liu, Songbin, et al.
Published: (2024)
Role of Bootstrap Averaging in Generalized Approximate Message Passing
by: Takahashi, Takashi
Published: (2023)
by: Takahashi, Takashi
Published: (2023)
On Unbiased Low-Rank Approximation with Minimum Distortion
by: Barnes, Leighton Pate, et al.
Published: (2025)
by: Barnes, Leighton Pate, et al.
Published: (2025)
Differentiability and overlap concentration in optimal Bayesian inference
by: Chen, Hong-Bin, et al.
Published: (2025)
by: Chen, Hong-Bin, et al.
Published: (2025)
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements
by: Kızıldağ, Eren C.
Published: (2025)
by: Kızıldağ, Eren C.
Published: (2025)
Change of measure through the Legendre transform
by: Picard-Weibel, Antoine, et al.
Published: (2022)
by: Picard-Weibel, Antoine, et al.
Published: (2022)
Variations on the Expectation due to Changes in the Probability Measure
by: Perlaza, Samir M., et al.
Published: (2025)
by: Perlaza, Samir M., et al.
Published: (2025)
High-Dimensional Asymptotics of Differentially Private PCA
by: Yun, Youngjoo, et al.
Published: (2025)
by: Yun, Youngjoo, et al.
Published: (2025)
A Method For Bounding Tail Probabilities
by: Zlatanov, Nikola
Published: (2024)
by: Zlatanov, Nikola
Published: (2024)
Robust Sparse Recovery with Sparse Bernoulli matrices via Expanders
by: Abdalla, Pedro
Published: (2021)
by: Abdalla, Pedro
Published: (2021)
Optimal detection of planted stars via a random energy model
by: Narang, Ijay, et al.
Published: (2026)
by: Narang, Ijay, et al.
Published: (2026)
Harnessing Multiple Correlated Networks for Exact Community Recovery
by: Rácz, Miklós Z., et al.
Published: (2024)
by: Rácz, Miklós Z., et al.
Published: (2024)
Gaussian Width of Convex Sets via Integral Decompositions, Projections, and the Distribution of Intrinsic Volumes
by: Pathak, Reese, et al.
Published: (2026)
by: Pathak, Reese, et al.
Published: (2026)
Quantifying Multivariate Graph Dependencies: Theory and Estimation for Multiplex Graphs
by: Skeja, Anda, et al.
Published: (2024)
by: Skeja, Anda, et al.
Published: (2024)
A Thermodynamic Structure of Asymptotic Inference
by: Wong, Willy
Published: (2026)
by: Wong, Willy
Published: (2026)
Similar Items
-
Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
by: Zhang, Yihan, et al.
Published: (2026) -
Precise Asymptotics for Spectral Methods in Mixed Generalized Linear Models
by: Zhang, Yihan, et al.
Published: (2022) -
Mixed Regression via Approximate Message Passing
by: Tan, Nelvin, et al.
Published: (2023) -
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
by: Kovačević, Filip, et al.
Published: (2025) -
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
by: Zhang, Yihan, et al.
Published: (2024)