We propose and analyze an approximate message passing (AMP) algorithm fo...
Recently, the authors showed that Reed-Muller (RM) codes achieve capacit...
Sliced mutual information (SMI) is defined as an average of mutual
infor...
This paper considers the performance of long Reed-Muller (RM) codes
tran...
We study the problem of estimating a rank-one matrix from Gaussian
obser...
The Gaussian-smoothed optimal transport (GOT) framework, recently propos...
Understanding the impact of data structure on learning in neural network...
This paper studies a high-dimensional inference problem involving the ma...
We consider a generalization of an important class of high-dimensional
i...
We consider the distributional connection between the lossy compressed
r...
We consider the linear regression problem of estimating a p-dimensional
...
We study the problem of community detection when there is covariate
info...
Community detection tasks have received a lot of attention across statis...
Posterior computation for high-dimensional data with many parameters can...
The information-theoretic limits of community detection have been studie...
The ability to understand and solve high-dimensional inference problems ...
We study the problem of recovering a hidden binary k-sparse p-dimensiona...
Multilayer (or deep) networks are powerful probabilistic models based on...
This paper offers a characterization of fundamental limits on the
classi...