conftrace_

approximate message passing

39 papers

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Also known as

AMP

Co-occurring keywords

state evolution (15) bayesian inference (1907) generalized linear model (138) asymptotic analysis (86) compressed sensing (201) message passing (579) high-dimensional estimation (43) phase transition (92) spectral method (204) parameter estimation (274)

Papers

Inferring Change Points in High-Dimensional Regression via Approximate Message Passing JMLR 2025
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NIPS 2024
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing (Extended Abstract) COLT 2024
Bayes-optimal learning of an extensive-width neural network from quadratically many samples NIPS 2024
Unrolled denoising networks provably learn to perform optimal Bayesian inference NIPS 2024
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model NIPS 2023
Mixed Linear Regression via Approximate Message Passing AISTATS 2023
Tree-AMP: Compositional Inference with Tree Approximate Message Passing JMLR 2023
Fundamental limits and algorithms for sparse linear regression with sublinear sparsity JMLR 2023
Mixed Regression via Approximate Message Passing JMLR 2023
Gardner formula for Ising perceptron models at small densities COLT 2022
Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity AISTATS 2022
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing ICML 2022
Multi-layer State Evolution Under Random Convolutional Design NIPS 2022
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap NIPS 2022
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? NIPS 2022
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models NIPS 2021
Approximate Message Passing with Spectral Initialization for Generalized Linear Models AISTATS 2021
An Asymptotic Rate for the LASSO Loss AISTATS 2020
Matrix Inference and Estimation in Multi-Layer Models NIPS 2020
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation NIPS 2020
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NIPS 2019
Generalized Approximate Survey Propagation for High-Dimensional Estimation ICML 2019
Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior CVPR 2019
The spiked matrix model with generative priors NIPS 2019