Co-occurring keywords · papers mentioning both
Papers
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation
NeurIPS 2020
An Asymptotic Rate for the LASSO Loss
AISTATS 2020
Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices
COLT 2020
Matrix Inference and Estimation in Multi-Layer Models
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
The spiked matrix model with generative priors
NeurIPS 2019
Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior
CVPR 2019
Approximate message passing for amplitude based optimization
ICML 2018
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models
COLT 2018
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis
NeurIPS 2018
The committee machine: Computational to statistical gaps in learning a two-layers neural network
NeurIPS 2018
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
NeurIPS 2017
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
NeurIPS 2017
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
NeurIPS 2016
Swept Approximate Message Passing for Sparse Estimation
ICML 2015
Scalable Inference for Neuronal Connectivity from Calcium Imaging
NeurIPS 2014
Blind Calibration in Compressed Sensing using Message Passing Algorithms
NeurIPS 2013
Low-rank matrix reconstruction and clustering via approximate message passing
NeurIPS 2013
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
NeurIPS 2012
Neural Reconstruction with Approximate Message Passing (NeuRAMP)
NeurIPS 2011
The LASSO risk: asymptotic results and real world examples
NeurIPS 2010
TrueSkill Through Time: Revisiting the History of Chess
NeurIPS 2007