Co-occurring keywords · papers mentioning both
Papers
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
JMLR 2025
Bridging Geometric States via Geometric Diffusion Bridge
NeurIPS 2024
Mixed Linear Regression via Approximate Message Passing
AISTATS 2023
Mixed Regression via Approximate Message Passing
JMLR 2023
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
NeurIPS 2023
Tree-AMP: Compositional Inference with Tree Approximate Message Passing
JMLR 2023
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
ICML 2022
Multi-layer State Evolution Under Random Convolutional Design
NeurIPS 2022
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
NeurIPS 2022
An Asymptotic Rate for the LASSO Loss
AISTATS 2020
Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices
COLT 2020
Online learning with dynamics: A minimax perspective
NeurIPS 2020
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
NeurIPS 2019
Generalized Approximate Survey Propagation for High-Dimensional Estimation
ICML 2019
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
NeurIPS 2017
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
NeurIPS 2012